Resource Flows: Material Flow Accounting (MFA), Life Cycle Analysis (LCA), Input Output Networks and other methods

Resource Flows: Material Flow Accounting (MFA), Life Cycle Analysis (LCA), Input Output Networks and other methods

 

 

 

From Materials Flow and Sustainability

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Key Terms:

  • MFA (Material Flow Analysis)
  • MFCA (Material Flow Cost Accounting)
  • LCA (Life Cycle Analysis)
  • SFA (Substance Flow Analysis)
  • MF WIO (Material Flow Waste Input Output)
  • IO LCA (Input Output Life Cycle Analysis)
  • KLEM (Capital, Labor, Energy, Materials)
  • PIOT ( Physical Input Output Tables)
  • MIOT (Monetary Input Output Tables)
  • IO MFN (Input Output Material Flow Network)
  • Social Ecology
  • Industrial Ecology
  • Urban Metabolism
  • Industrial Symbiosis
  • Industrial Metabolism
  • M-P Chains (Material Product Chains)
  • Global Value Chains
  • National Footprint Accounts
  • Inter Industry Analysis
  • Input Output Economics
  • End to End Supply Chains
  • Supply and Use Tables
  • Material Balance
  • Mass Balance
  • Biophysical Economics
  • Ecological Economics
  • Environmentally Extended Input Output Analysis (EE-IOA)
  • Stocks and Flows
  • MaTrace
  • Global MaTrace

 

Software for Data Analysis and Visualization:

 

This article lists several other software packages for MFA/SFA

https://www.azavea.com/blog/2017/08/09/six-sankey-diagram-tool/

 

 

Material Flow Analysis

From Practical Handbook of MATERIAL FLOW ANALYSIS

Material flow analysis (MFA) is a systematic assessment of the flows and stocks of materials within a system defined in space and time. It connects the sources, the pathways, and the intermediate and final sinks of a material. Because of the law of the conservation of matter, the results of an MFA can be controlled by a simple material balance comparing all inputs, stocks, and outputs of a process. It is this distinct characteristic of MFA that makes the method attractive as a decision-support tool in resource management, waste management, and environmental management.

An MFA delivers a complete and consistent set of information about all flows and stocks of a particular material within a system. Through balancing inputs and outputs, the flows of wastes and environmental loadings become visible, and their sources can be identified. The depletion or accumulation of material stocks is identified early enough either to take countermeasures or to promote further buildup and future utilization. Moreover, minor changes that are too small to be measured in short time scales but that could slowly lead to long-term damage also become evident.

Anthropogenic systems consist of more than material flows and stocks (Figure 1.1). Energy, space, information, and socioeconomic issues must also be included if the anthroposphere is to be managed in a responsible way. MFA can be performed without considering these aspects, but in most cases, these other factors are needed to interpret and make use of the MFA results. Thus, MFA is frequently coupled with the analysis of energy, economy, urban planning, and the like.

In the 20th century, MFA concepts have emerged in various fields of study at different times. Before the term MFA had been invented, and before its comprehensive methodology had been developed, many researchers used the law of conservation of matter to balance processes. In process and chemical engineering, it was common practice to analyze and balance inputs and outputs of chemical reactions. In the economics field, Leontief introduced input–output tables in the 1930s, thus laying the base for widespread application of input–output methods to solve economic problems. The first studies in the fields of resource conservation and environmental management appeared in the 1970s. The two original areas of application were (1) the metabolism of cities and (2) the analysis of pollutant pathways in regions such as watersheds or urban areas. In the following decades, MFA became a widespread tool in many fields, including process control, waste and wastewater treatment, agricultural nutrient management, water-quality management, resource conservation and recovery, product design, life cycle assessment (LCA), and others.

 

Substance Flow Analysis

From Feasibility assessment of using the substance flow analysis methodology for chemicals information at macro level

SFA is used for tracing the flow of a selected chemical (or group of substances) through a defined system. SFA is a specific type of MFA tool, dealing only with the analysis of flows of chemicals of special interest (Udo de Haes et al., 1997). SFA can be defined as a detailed level application of the basic MFA concept tracing the flow of selected chemical substances or compounds — e.g. heavy metals (mercury (Hg), lead (Pb), etc.), nitrogen (N), phosphorous (P), persistent organic substances, such as PCBs, etc. — through society.

An SFA identifies these entry points and quantifies how much of and where the selected substance is released. Policy measures may address these entry points, e.g. by end‐of‐pipe technologies. Its general aim is to identify the most effective intervention points for policies of pollution prevention. According to Femia and Moll (2005), SFA aims to answer the following questions:

• Where and how much of substance X flows through a given system?

• How much of substance X flows to wastes?
• Where do flows of substance X end up?
• How much of substance X is stored in durable goods?
• Where could substance X be more efficiently utilised in technical processes?
• What are the options for substituting the harmful substance?
• Where do substances end up once they are released into the natural environment?

When an SFA is to be carried out, it involves the identification and collection of data on the one hand, and modelling on the other. According to van der Voet et al. (OECD, 2000), there are three possible ways to ‘model’ the system:

Accounting (or bookkeeping) The input for such a system is the data that can be obtained from trade and production statistics. If necessary, further detailed data can be recovered on the contents of the specific substances in those recorded goods and materials. Emissions and environmental fluxes or concentration monitoring can be used for assessing the environmental flows. The accounting overview may also serve as an identification system for missing or inaccurate data.

Missing amounts can be estimated by applying the mass balance principle. In this way, inflows and outflows are balanced for every node, as well as for the system as a whole, unless accumulation within the system can be proven. This technique is most commonly used in material flow studies, and can be viewed as a form of descriptive statistics. There are, however, some examples of case studies that specifically address societal stocks, and use these as indicator for possible environmental problems in the future (OECD, 2000).

Static modelling is the process whereby the network of flow nodes is translated into a mathematical ‘language’, i.e. a set of linear equations, describing the flows and accumulations as inter‐dependent. Emission factors and distribution factors over the various outputs for the economic processes and partition coefficients for the environmental compartments can be used as variables in the equations. A limited amount of substance flow accounting data is also required for a solution of the linear equations. However, the modelling outcome is determined largely by the substance distribution patterns.

Static modelling can be extended by including a so‐called origin analysis in which the origins of one specific problematic flow can be traced on several levels. Three levels may be distinguished:

• direct causes derived directly from the nodes balance (e.g one of the direct causes of cadmium (Cd) load in soil is atmospheric deposition);

• economic sectors (or environmental policy target groups) directly responsible for the problem. This is identified by following the path back from node to node to the point of emission (e.g. waste incineration is one of the economic sectors responsible for the cadmium load in soil);

• ultimate origins found by following the path back to the system boundaries (e.g. the extraction, transport, processing and trade of zinc (Zn) ore is one of the ultimate origins of the cadmium load in soil).

Furthermore, the effectiveness of abatement measures can be assessed with static modelling by recording timelines on substances (OECD, 2000).

Dynamic modelling is different to the static SFA model, as it includes substance stocks accumulated in society as well as in various materials and products in households and across the built‐up environments.

For SFA, stocks play an important role in the prediction of future emissions and waste flows of products with a long life span. For example, in the case of societal stocks of PVC, policy makers need to be supplied with information about future PVC outflows. Today’s stocks become tomorrow’s emissions and waste flows. Studies have been carried out on the analysis of accumulated stocks of metals and other persistent toxics in the societal system. Such build‐ups can serve as an ‘early warning’ signal for future emissions and their potential effects, as one day these stocks may become obsolete and recognisably dangerous, e.g. as in the case of asbestos, CFCs, PCBs and mercury in chlor‐alkali cells. As the stocks are discarded, they end up as waste, emissions, factors of risks to environment and population. In some cases, this delay between inflow and outflow can be very long indeed.

Stocks of products no longer in use, but not yet discarded, are also important. These stocks could include: old radios, computers and/or other electronic equipment stored in basements or attics, out‐of‐use pipes still in the ground, obsolete stocks of chemicals no longer produced but still stored, such as lead paints and pesticides. These ‘hibernating stocks’ are likely to be very large, according to OECD estimates (2000). Estimating future emissions is a crucial issue if environmental policy makers are to anticipate problems and take timely, effective action. In order to do this, stocks cannot be ignored. Therefore, when using MFA or SFA models for forecasting, stocks should play a vital part. Flows and stocks interact with each other. Stocks grow when the inflows exceed the outflows of a (sub)‐system and certain outflows of a (sub)‐system are disproportional to the stocks.

For this dynamic model, additional information is needed for the time dimension of the variables, e.g. the life span of applications in the economy; the half life of compounds; the retention time in environmental compartments and so forth. Calculations can be made not only on the ‘intrinsic’ effectiveness of packages of measures, but also on their anticipated effects in a specific year in the future. They can also be made on the time
it takes for such measures to become effective. A dynamic model is therefore most suitable for scenario analysis, provided that the required data are available or can be estimated with adequate accuracy (OECD, 2000).

 

Life Cycle Analysis (LCA)

 

What is Life Cycle Assessment (LCA)?

As environmental awareness increases, industries and businesses are assessing how their activities affect the environment. Society has become concerned about the issues of natural resource depletion and environmental degradation. Many businesses have responded to this awareness by providing “greener” products and using “greener” processes. The environmental performance of products and processes has become a key issue, which is why some companies are investigating ways to minimize their effects on the environment. Many companies have found it advantageous to explore ways of moving beyond compliance using pollution prevention strategies and environmental management systems to improve their environmental performance. One such tool is LCA. This concept considers the entire life cycle of a product (Curran 1996).

Life cycle assessment is a “cradle-to-grave” approach for assessing industrial systems. “Cradle-to-grave” begins with the gathering of raw materials from the earth to create the product and ends at the point when all materials are returned to the earth. LCA evaluates all stages of a product’s life from the perspective that they are interdependent, meaning that one operation leads to the next. LCA enables the estimation of the cumulative environmental impacts resulting from all stages in the product life cycle, often including impacts not considered in more traditional analyses (e.g., raw material extraction, material transportation, ultimate product disposal, etc.). By including the impacts throughout the product life cycle, LCA provides a comprehensive view of the environmental aspects of the product or process and a more accurate picture of the true environmental trade-offs in product and process selection.

The term “life cycle” refers to the major activities in the course of the product’s life-span from its manufacture, use, and maintenance, to its final disposal, including the raw material acquisition required to manufacture the product. Exhibit 1-1 illustrates the possible life cycle stages that can be considered in an LCA and the typical inputs/outputs measured.

 

Methods of LCA

  • Process LCA
  • Economic Input Output LCA
  • Hybrid Approach

 

 

From Life cycle analysis (LCA) and sustainability assessment

 

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Material Input Output Network Analysis

  • PIOT (Physical Input Output Tables)
  • MIOT (Monetary Input Output Tables)
  • WIOT (Waste Input Output Tables
  • MRIO (Multi Regional Input Output)
  • SUT (Supply and Use Tables)

 

From Industrial ecology and input-output economics: An introduction

Although it was the pioneering contributions by Duchin (1990, 1992) that explicitly made the link between input–output economics and industrial ecology, developments in input– output economics had previously touched upon the core concept of industrial ecology.

Wassily Leontief himself incorporated key ideas of industrial ecology into an input– output framework. Leontief (1970) and Leontief and Ford (1972) proposed a model where the generation and the abatement of pollution are explicitly dealt with within an extended IO framework. This model, which combines both physical and monetary units in a single coefficient matrix, shows how pollutants generated by industries are treated by so-called ‘pollution abatement sectors.’ Although the model has been a subject of longstanding methodological discussions (Flick, 1974; Leontief, 1974; Lee, 1982), its structure captures the essence of industrial ecology concerns: abatement of environmental problems by exploiting inter-industry interactions. As a general framework, we believe that the model by Leontief (1970) and Leontief and Ford (1972) deserves credit as an archetype of the various models that have become widely referred to in the field of industrial ecology during the last decade, including mixed-unit IO, waste IO and hybrid Life Cycle Assessment (LCA) models (Duchin, 1990; Konijn et al., 1997; Joshi, 1999; Nakamura and Kondo, 2002; Kagawa et al., 2004; Suh, 2004b). Notably, Duchin (1990) deals with the conversion of wastes to useful products, which is precisely the aim of industrial ecology, and subsequently, as part of a study funded by the first AT&T industrial ecology fellowship program, with the recovery of plastic wastes in particular (Duchin and Lange, 1998). Duchin (1992) clarifies the quantity-price relationships in an input–output model (a theme to which she has repeatedly returned) and draws its implications for industrial ecology, which has traditionally been concerned exclusively with physical quantities.

Duchin and Lange (1994) evaluated the feasibility of the recommendations of the Brundtland Report for achieving sustainable development. For that, they developed an input–output model of the global economy with multiple regions and analyzed the consequences of the Brundtland assumptions about economic development and technological change for future material use and waste generation. Despite substantial improvements in material efficiency and pollution reduction, they found that these could not offset the impact of population growth and the improved standards of living endorsed by the authors of the Brundtland Report.

Another pioneering study that greatly influenced current industrial ecology research was described by Ayres and Kneese (1969) and Kneese et al. (1970), who applied the massbalance principle to the basic input–output structure, enabling a quantitative analysis of resource use and material flows of an economic system. The contribution by Ayres and Kneese is considered the first attempt to describe the metabolic structure of an economy in terms of mass flows (see Ayres, 1989; Haberl, 2001).

Since the 1990s, new work in the areas of economy-wide research about material flows, sometimes based on Physical Input–Output Tables (PIOTs), has propelled this line of research forward in at least four distinct directions: (1) systems conceptualization (Duchin, 1992; Duchin, 2005a); (2) development of methodology (Konijn et al., 1997; Nakamura and Kondo, 2002; Hoekstra, 2003; Suh, 2004c; Giljum et al., 2004; Giljum and Hubacek, 2004; Dietzenbacher, 2005; Dietzenbacher et al., 2005; Weisz and Duchin, 2005); (3) compilation of data (Kratterl and Kratena, 1990; Kratena et al., 1992; Pedersen, 1999; Ariyoshi and Moriguchi, 2003; Bringezu et al., 2003; Stahmer et al., 2003); and (4) applications (Duchin, 1990; Duchin and Lange, 1994, 1998; Hubacek and Giljum, 2003; Kagawa et al., 2004). PIOTs generally use a single unit of mass to describe physical flows among industrial sectors of a national economy. In principle, such PIOTs are capable of satisfying both column-wise and row-wise mass balances, providing a basis for locating materials within a national economy.3 A notable variation in this tradition, although it had long been used in input–output economic studies starting with the work of Leontief, is the mixed-unit IO table. Konijn et al. (1997) analyzed a number of metal flows in the Netherlands using a mixed-unit IO table, and Hoekstra (2003) further improved both the accounting framework and data. Unlike the original PIOTs, mixed-unit IOTs do not assure the existence of column-wise mass-balance, but they make it possible to address more complex questions. Lennox et al. (2004) present the Australian Stocks and Flows Framework (ASFF), where a dynamic IO model is implemented on the basis of a hybrid input–output table. These studies constitute an important pillar of industrial ecology that is generally referred to as Material Flow Analysis (MFA).4

Although the emphasis in industrial ecology has arguably been more on the materials side, energy issues are without doubt also among its major concerns. In this regard, energy input–output analysis must be considered another important pillar for the conceptual basis of ‘industrial energy metabolism.’ The oil shock in the 1970s stimulated extensive research on the structure of energy use, and various studies quantifying the energy associated with individual products were carried out (Berry and Fels, 1973; Chapman, 1974). Wright (1974) utilized Input–Output Analysis (IOA) for energy analysis, which previously had been dominated by process-based analysis (see also Hannon, 1974; Bullard and Herendeen, 1975; Bullard et al., 1978). The two schools of energy analysis, namely process analysis and IO energy analysis, were merged by Bullard and Pillarti (1976) into hybrid energy analysis (see also van Engelenburg et al., 1994; Wilting,1996). Another notable contribution to the area of energy analysis was made by Cleveland et al. (1984), who present a comprehensive analysis, using the US input–output tables, quantifying the interconnection of energy and economic activities from a biophysical standpoint (see Cleveland, 1999; Haberl, 2001; Kagawa and Inamura, 2004). These studies shed light on how an economy is structured by means of energy flows and informs certain approaches to studying climate change (see for example Proops et al., 1993; Wier et al., 2001).

What generally escapes attention in both input–output economics and industrial ecology, despite its relevance for both, is the field of Ecological Network Analysis (ENA). Since Lotka (1925) and Lindeman (1942), material flows and energy flows have been among the central issues in ecology. It was Hannon (1973) who first introduced concepts from input–output economics to analyze the structure of energy utilization in an ecosystem. Using an input–output framework, the complex interactions between trophic levels or ecosystem compartments can be modeled, taking all direct and indirect relationships between components into account. Hannon’s approach was adopted, modified and re-introduced by various ecologists. Finn (1976, 1977), among others, developed a set of analytical measures to characterize the structure of an ecosystem using a rather extensive reformulation of the approach proposed by Hannon (1973). Another important development in the tradition of ENA is so-called environ analysis. Patten (1982) proposed the term ‘environ’ to refer to the relative interdependency between ecosystem components in terms of nutrient or energy flows. Results of environ analysis are generally presented as a comprehensive network flow diagram, which shows the relative magnitudes of material or energy flows between the ecosystem components through direct and indirect relationships (Levine, 1980; Patten, 1982). Ulanowicz and colleagues have broadened the scope of materials and energy flow analysis both conceptually and empirically (Szyrmer and Ulanowicz, 1987). Recently Bailey et al. (2004a, b) made use of the ENA tradition to analyze the flows of several metals through the US economy. Suh (2005) discusses the relationship between ENA and IOA and shows that Patten’s environ analysis is similar to Structural Path Analysis (SPA), and that the ENA framework tends to converge toward the Ghoshian framework rather than the Leontief framework although using a different formalism (Defourny and Thorbecke, 1984; Ghosh, 1958).

 

 

From Materials and energy flows in industry and ecosystem netwoks : life cycle assessment, input-output analysis, material flow analysis, ecological network flow analysis, and their combinations for industrial ecology

 

MFA

 

From Regional distribution and losses of end-of-life steel throughout
multiple product life cycles—Insights from the global multiregional
MaTrace model

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From Feasibility assessment of using the substance flow analysis methodology for chemicals information at macro level

 

mfa2MFA3

 

Sankey Diagram

From Hybrid Sankey diagrams: Visual analysis of multidimensional data for understanding resource use

Sankey diagrams are used to visualise flows of energy, materials or other resources in a variety of applications. Schmidt (2008a) reviewed the history and uses of these diagrams. Originally, they were used to show flows of energy, first in steam engines, more recently for modern systems such as power plants (e.g. Giuffrida et al., 2011) and also to give a big-picture view of global energy use (Cullen and Allwood, 2010). As well as energy, Sankey diagrams are widely used to show flows of resources (Schmidt, 2008a). Recent examples in this journal include global flows of tungsten (Leal-Ayala et al., 2015), biomass in Austria (Kalt, 2015), and the life-cycle of car components (Diener and Tillman, 2016). More widely, they have been used to show global production and use of steel and aluminium (Cullen et al., 2012; Cullen and Allwood, 2013), and flows of natural resources such as water (Curmi et al., 2013). In all of these cases, the essential features are: (1) the diagram represents physical flows, related to a given functional unit or period of time; and (2) the magnitude of flows is shown by the link1 widths, which are proportional to an extensive property of the flow such as mass or energy (Schmidt, 2008b). Creating these diagrams is supported by software tools such as e!Sankey (ifu Hamburg, 2017), and several Life Cycle Assessment (LCA) and Material Flow Analysis (MFA) packages include features to create Sankey diagrams.

 

From Hybrid Sankey diagrams: Visual analysis of multidimensional data for understanding resource use

 

mfa7

 

Please see my related posts:

Wassily Leontief and Input Output Analysis in Economics

Shell Oil’s Scenarios: Strategic Foresight and Scenario Planning for the Future

Water | Food | Energy | Nexus: Mega Trends and Scenarios for the Future

Stock Flow Consistent Input Output Models (SFCIO)

Measuring Globalization: Global Multi Region Input Output Data Bases (G-MRIO)

Production and Distribution Planning : Strategic, Global, and Integrated

Intra Industry Trade and International Production and Distribution Networks

Trends in Intra Firm Trade of USA

Development of Global Trade and Production Accounts: UN SEIGA Initiative

Accounting For Global Carbon Emission Chains

Stock Flow Consistent Models for Ecological Economics

Jay W. Forrester and System Dynamics

Classical roots of Interdependence in Economics

Stock-Flow Consistent Modeling

 

 

 

 

Key Sources of Research:

SPECIAL SESSION ON MATERIAL FLOW ACCOUNTING

OECD

Paris, 24 October 2000

https://www.oecd.org/env/indicators-modelling-outlooks/4425421.pdf

An Innovative Accounting Framework for the Food-Energy-Water Nexus
Application of the MuSIASEM approach to three case studies

http://www.fao.org/docrep/019/i3468e/i3468e.pdf

Creating your own online data visualizations: SankeyMatic, OMAT, CartoDB

https://metabolismofcities.org/blog/4-creating-your-own-online-data-visualizations

Hybrid Sankey diagrams: Visual analysis of multidimensional data for understanding resource use

https://www.sciencedirect.com/science/article/pii/S0921344917301167

e!Sankey

Visualization of energy, cash and material flows with a Sankey diagram

https://www.ifu.com/en/e-sankey/sankey-diagrams/

UPIOM: A New Tool of MFA and Its Application to the Flow of Iron and Steel Associated with Car Production

https://pubs.acs.org/doi/pdf/10.1021/es1024299

Material flow analysis

WIKIPEDIA

https://en.wikipedia.org/wiki/Material_flow_analysis

Economy-wide Material Flow Accounting. Introduction and Guide.

Version 1.0

Article · January 2015

Fridolin Krausmann, Helga Weisz, Nina Eisenmenger, Helmut Schütz, Willi Haas
and Anke Schaffartzik

https://www.researchgate.net/publication/272885234_Economy-wide_Material_Flow_Accounting_Introduction_and_Guide_Version_10

Society’s Metabolism The Intellectual History of Materials Flow Analysis,

Part II, 1970-1998

Marina Fischer-Kowalski and Walter Huttler

Institute for Intenliscipiimny
Studies of Austrian Universities
University of Vienna
Vienna, Austria

http://www.esf.edu/cue/documents/Fischer-Kowalski_Huttler_1998.pdf

“Society’s Metabolism. The Intellectual History of Material Flow Analysis,

Part I, 1860 – 1970″.

Fischer-Kowalski, M.

1998.

Journal of Industrial Ecology 2(1): 61-78

https://www.researchgate.net/publication/249481665_Society%27s_Metabolism_The_Intellectual_History_of_Materials_Flow_Analysis_Part_I_1860-_1970

Analysis on energy–water nexus by Sankey diagram: the case of Beijing

https://www.tandfonline.com/doi/abs/10.1080/19443994.2013.768038

Unified Materials Information System (UMIS): An Integrated Material Stocks and Flows Data Structure

First published: 07 February 2018

 

https://onlinelibrary.wiley.com/doi/abs/10.1111/jiec.12730

Material Flow Cost Accounting with Umberto®

Schmidt, A. Hache, B.; Herold, F.; Götze, U.

http://qucosa.de/fileadmin/data/qucosa/documents/10523/2-05_Material_Flow_Cost_Accounting.pdf

https://www.wef.uni-osnabrueck.de/wp-content/uploads/PRESENTATIONS/Plenary/WEF_Richards.pdf

Study on Data for a Raw Material System Analysis: Roadmap and Test of the Fully Operational MSA for Raw Materials

Final Report

BIO by Deloitte

(2015)

Prepared for the European Commission, DG GROW.

https://www.certifico.com/component/attachments/download/2886

Integrated Analysis of Energy, Material and Time Flows in Manufacturing Systems

 

https://ac.els-cdn.com/S2212827116305479/1-s2.0-S2212827116305479-main.pdf?_tid=90701061-86fc-4c11-b078-cb577d8f8bdf&acdnat=1525719999_9dcee960cd6033d950a583cea379539f

e! Sankey

Visualization of energy, cash and material flows with a Sankey diagram

The most popular software for creating Sankey diagrams. Visualize the cash, material & energy flow or value streams in your company or along the supply chain. Share these appealing diagrams in reports or presentations.

 

https://www.ifu.com/en/e-sankey/?gclid=CjwKCAjw8r_XBRBkEiwAjWGLlIcWq2pRigMmJLKAXP4-ndFXR9ik41MUp9ahFZL2M9Ht5CKtwKIvTRoCdbsQAvD_BwE

MATERIAL FLOW ANALYSIS WITH SOFTWARE STAN

Oliver Cencic* and Helmut Rechberger
Institute for Water Quality Resources and Waste Management
Vienna University of Technology
Vienna A-1040, Austria

https://www.sswm.info/sites/default/files/reference_attachments/CENCIC%20and%20RECHBERGER%202008%20Material%20Flow%20Analysis%20with%20Software%20STAN.pdf

Recovery of Key Metals in the Electronics Industry in the
People’s Republic of China: An Opportunity in Circularity
(Initial Findings)

January 2018

Created as Part of the Platform for Accelerating the Circular Economy

http://www3.weforum.org/docs/Environment_Team/39777_Recovery_Key_Metals_Electronics_Industry_China_Opportunity_Circularity_report_2018.pdf

Sankey diagram

WIKIPEDIA

https://en.wikipedia.org/wiki/Sankey_diagram

MATERIAL FLOWS IN THE UNITED STATES
A PHYSICAL ACCOUNTING OF THE U.S. INDUSTRIAL ECONOMY

DONALD ROGICH
AMY CASSARA
IDDO WERNICK
MARTA MIRANDA

WRI

http://pdf.wri.org/material_flows_in_the_united_states.pdf

Industrial ecology and input-output economics: An introduction

Sangwon Suh

2005

https://www.researchgate.net/profile/Sangwon_Suh3/publication/24078824_Industrial_ecology_and_input-output_economics_An_introduction/links/0c960531f1d92f3705000000/Industrial-ecology-and-input-output-economics-An-introduction.pdf

A Handbook of Industrial Ecology

Robert Ayres

Leslie Ayres

http://pustaka.unp.ac.id/file/abstrak_kki/EBOOKS/A%20Handbook%20of%20Industrial%20Ecology.pdf#page=100

Physical and Monetary Input-Output Analysis:
What Makes the Difference?

Helga Weisz
Klagenfurt University
Faye Duchin
Rensselaer Polytechnic Institute

https://pdfs.semanticscholar.org/d946/ab5b067aacafe555acbc1e077b5b42e1fc92.pdf

Theory of materials and energy flow analysis in ecology and economics

Sangwon Suh

2005

https://www.researchgate.net/profile/Sangwon_Suh3/publication/227009838_Materials_and_energy_flows_in_industry_and_ecosystem_networks/links/00b7d53595cb006cbb000000/Materials-and-energy-flows-in-industry-and-ecosystem-networks.pdf

Conceptual Foundations and Applications of Physical Input-Output Tables

Stefan Giljum

Hubacek Klaus

2009

https://www.researchgate.net/profile/Hubacek_Klaus/publication/226286172_Conceptual_Foundations_and_Applications_of_Physical_Input-Output_Tables/links/0912f506c16a7d06af000000/Conceptual-Foundations-and-Applications-of-Physical-Input-Output-Tables.pdf

Alternative Approaches of Physical Input-Output Analysis to Estimate
Primary Material Inputs of Production and Consumption Activities

Stefan Giljum

Hubacek Klaus

2004

https://www.researchgate.net/profile/Hubacek_Klaus/publication/24078801_Alternative_Approaches_of_Physical_Input-Output_Analysis_to_Estimate_Primary_Material_Inputs_of_Production_and_Consumption_Activities/links/00b7d51cc1257aba71000000.pdf

Industrial Ecology: A Critical Review

https://nature.berkeley.edu/orourke/PDF/IE.pdf

EXIOPOL – development and illustrative analyses of a detailed global
multiregional environmentally-extended supply and use table/input output
table

Article in Economic Systems Research · May 2013

https://www.researchgate.net/profile/Jan_Oosterhaven/publication/281305069_EXIOPOL_-_development_and_illustrative_analyses_of_a_detailed_global_multiregional_environmentally-extended_supply_and_use_tableinput-output_table/links/561d652a08aecade1acb3bfc.pdf

Developing the Sectoral Environmental Database for Input- Output Analysis: Comprehensive Environmental Data Archive of the U.S.

Article in Economic Systems Research · December 2005

https://www.researchgate.net/profile/Sangwon_Suh3/publication/24078829_Developing_the_Sectoral_Environmental_Database_for_Input-Output_Analysis_Comprehensive_Environmental_Data_Archive_of_the_US/links/0c960531f1d910cda1000000.pdf

The material basis of the global economy

Worldwide patterns of natural resource extraction and their
implications for sustainable resource use policies

Arno Behrens,⁎, Stefan Giljum, Jan Kovanda, Samuel Niza

https://eden.dei.uc.pt/~camara/files/iTEAM/Material_Basis.pdf

The Sankey Diagram in Energy and Material Flow Management

Part I: History

https://onlinelibrary.wiley.com/doi/full/10.1111/j.1530-9290.2008.00004.x

The Sankey Diagram in Energy and Material Flow Management

Part II: Methodology and Current Applications

First published: 28 April 2008

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1530-9290.2008.00015.x

Material and Energy Flow Analysis

First published: 23 March 2010

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ceat.201090015

8. Biophysical economics: from physiocracy to ecological economics and industrial
ecology

Cutler J Cleveland

Article · January 1999

https://www.researchgate.net/profile/Cutler_Cleveland/publication/229055775_8_Biophysical_economics_from_physiocracy_to_ecological_economics_and_industrial_ecology/links/0deec51b7274ca0035000000.pdf

The Use of Input-Output Analysis in REAP to allocate Ecological Footprints and Material Flows to Final Consumption Categories

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.457.7453&rep=rep1&type=pdf

Waste Input–Output Material Flow Analysis of Metals in the Japanese Economy

Shinichiro Nakamura1 and Kenichi Nakajima2

https://www.jim.or.jp/journal/e/pdf3/46/12/2550.pdf

A multi-regional environmental input-output model to quantify embodied material flows

Stefan Giljum a, Christian Lutz b,Ariane Jungnitz

https://www.iioa.org/conferences/16th/files/Papers/Giljum%20et%20al_IIOA.pdf

http://inforumweb.umd.edu/papers/conferences/2007/jungnitzgiljumlutz.pdf

Material Flow Accounting and Analysis (MFA)

A Valuable Tool for Analyses of Society-Nature Interrelationships

Entry prepared for the Internet Encyclopedia of Ecological Economics

Friedrich Hinterberger *, Stefan Giljum, Mark Hammer

Sustainable Europe Research Institute (SERI)

http://isecoeco.org/pdf/material.pdf

Human Ecology: Industrial Ecology

Faye Duchin
Rensselaer Polytechnic Institute

Stephen H. Levine
Tufts University

http://www.economics.rpi.edu/workingpapers/rpi0603.pdf

Development of the Physical Input Monetary Output Model for Understanding Material Flows within Ecological -Economic Systems

XU Ming

2010

http://www.jorae.cn/fileup/PDF/2010010204.pdf

Accounting for raw material equivalents of traded goods

A comparison of input-output approaches in physical, monetary, and mixed units

https://www.aau.at/wp-content/uploads/2016/11/working-paper-87-web.pdf

Material Flow Accounts and Policy. Data for Sweden 2004

by: Annica Carlsson, Anders Wadeskog, Viveka Palm, Fredrik Kanlén Environmental Accounts, Statistics Sweden,

2006.

http://www.scb.se/statistik/_publikationer/mi1301_2004a01_br_mift0701.pdf

Economy-wide Material Flow Accounts with Hidden Flows for Finland: 1945–2008

Jukka Hoffrén (ed.)

http://www.stat.fi/tup/julkaisut/tiedostot/isbn_978-952-244-233-8.pdf

EXIOBASE
Analysing environmental impacts of the global, interlinked economy

Konstantin Stadler, Richard Wood

Industrial Ecology Programme, NTNU, Norway

2014

http://www.syke.fi/download/noname/%7B3C267869-D6AE-447F-A98D-547C1D2B5819%7D/105511

ESSAYS ON INTERNATIONAL TRADE AND ENVIRONMENT
An Input-Output Analysis

http://repositorio.conicyt.cl/bitstream/handle/10533/179687/MUNOZ_PABLO_2868D.pdf?sequence=1

Using Material Flow Analysis for Sustainable Materials Management: Part of the Equation for Priority Setting

Frederick W. Allen

Priscilla A. Halloran

Angela H. Leith

M. Clare Lindsay

https://digitalcommons.unl.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1113&context=usepapapers

“Supply-Extension versus Use-Extension in Environmentally Extended Input-Output Modelling: Analyzing Physical Flows within the Austrian Economy”

Hanspeter Wieland*1, Nina Eisenmenger2, Dominik Wiedenhofer2, Martin Bruckner1

http://www.gws-os.com/downloads/ioworkshop/IO-Workshop-2017_Wieland_abstract.pdf

A Material Flow Analysis of Phosphorus in Japan
The Iron and Steel Industry as a Major Phosphorus Source

Kazuyo Matsubae-Yokoyama, Hironari Kubo, Kenichi Nakajima,
and Tetsuya Nagasaka

http://greenpi.info/files/articles/gpa_101_wa.pdf

Material Flows and Economic Development
Material Flow Analysis of the Hungarian Economy

http://pure.iiasa.ac.at/id/eprint/6729/1/IR-02-057.pdf

The material footprint of nations

Thomas O. Wiedmanna,b,c,1, Heinz Schandlb,d, Manfred Lenzenc, Daniel Moranc,e, Sangwon Suhf, James Westb, and Keiichiro Kanemotoc

http://www.pnas.org/content/pnas/112/20/6271.full.pdf

Calculation of direct and indirect material inputs by type of raw material and economic activities

Paper presented at the London Group Meeting
19 – 21 June 2006

Karl Schoer

Wiesbaden, July 2006

http://mdgs.un.org/unsd/envaccounting/ceea/archive/MFA/Raw_material_Germany.pdf

Waste Input-Output  (WIO) Table

Shinichiro NAKAMURA and Yasushi KONDO,

Waste Input-Output Analysis: Concepts and Application to Industrial Ecology.

In Series: Eco-Efficiency in Industry and Science,

Vol. 26, Springer, February 2009.

http://www.f.waseda.jp/nakashin/WIO.html

Economy Wide Material Flow Accounting (EW-MFA)

http://data.geus.dk/MICASheetsEditor/document/21e5c517-53b9-4b00-b7a3-55939829824b

Material flow analyses in technosphere and biosphere
– metals, natural resources and chemical products

Viveka Palm

http://www.diva-portal.org/smash/get/diva2:9105/FULLTEXT01.pdf

The UK waste input-output table: Linking waste generation to the UK economy.

Salemdeeb, R., Al-Tabbaa, A. and Reynolds, C.

Waste Management & Research, 34 (10). pp. 1089-1094.

http://eprints.whiterose.ac.uk/105894/13/Re_Main_Document.pdf

Multiregion input / output tables and material footprint accounts session

Discussion of aspects of of MRIO / material footprinting work, and considerations for developing and resource based economies.

James West | Senior experimental scientist
25 May 2016

http://www.switch-asia.eu/fileadmin/user_upload/RPSC/event/23-25May16-Mongolia/24-25May/10_MFand_MRIO_CSIRO_English.pdf

Construction of hybrid Input-Output tables for E3 CGE model calibration and consequences on energy policy analysis

COMBET Emmanuel – CIRED
GHERSI Frédéric – CIRED
LEFEVRE Julien – CIRED
LE TREUT Gaëlle – CIRED

https://www.gtap.agecon.purdue.edu/resources/download/6988.pdf

Prospects and Drivers of Future European Resource Requirements
Evidence from a Multi-National Macroeconomic Simulation Study*

Paper prepared for the final WIOD Conference
Groningen, April 2012
by
Martin Distelkamp, Mark Meyer** and Bernd Meyer

GWS mbH Osnabrueck

http://www.wiod.org/conferences/groningen/Paper_Distelkamp_et_al.pdf

Material Flow Analysis to Evaluate Sustainability in Supply Chains

Haroune Zaghdaoui, Anicia Jaegler, Natacha Gondran, Jairo Montoya-Torres

https://hal-emse.ccsd.cnrs.fr/emse-01633801/file/4189.pdf

Physical and monetary input–output analysis: What makes the difference?

Helga Weisz , Faye Duchin

https://www.peakoil.net/files/Physical%20and%20monetary%20input-output.pdf

Recycling and Remanufacturing in Input-Output Models

Randall W Jackson, West Virginia University
Taelim Choi, Georgia Institute of Technology
Nancey Green Leigh, Georgia Institute of Technology

http://rri.wvu.edu/wp-content/uploads/2012/11/WP2008-4.pdf

The Water Footprint Assessment Manual

http://waterfootprint.org/media/downloads/TheWaterFootprintAssessmentManual_2.pdf

The New Plastics Economy
Rethinking the future of plastics

http://www3.weforum.org/docs/WEF_The_New_Plastics_Economy.pdf

A Comparison of Environmental Extended Input-Output (EEIO) and Process Data in Life Cycle Assessment

https://www.climateearth.com/wp-content/uploads/2017/06/Comparing-Input-Output-and-Process-LCA-Data.CE-form2-LM-edits.pdf

Managing Logistics Flows Through Enterprise Input-Output Models

V. Albino1, A. Messeni Petruzzelli1 and O. G. Okogbaa2

http://cdn.intechopen.com/pdfs/6161/InTech-Managing_logistics_flows_through_enterprise_input_output_models.pdf

Social Metabolism and Accounting Approaches

Module:ECOLECON

Ecological economics

https://proxy.eplanete.net/galleries/broceliande7/social-metabolism-and-accounting-approaches

Input-Output Analysis in Laptop Computer Manufacturing

https://waset.org/publications/9998422/input-output-analysis-in-laptop-computer-manufacturing

IRON, STEEL AND ALUMINIUM IN THE UK: MATERIAL FLOWS AND THEIR
ECONOMIC DIMENSIONS

Final Project Report, March 2004

https://www.surrey.ac.uk/ces/files/pdf/0304_WP_Biffaward_Steel_Al-Final.pdf

A Framework for Sustainable Materials Management

Joseph Fiksel

http://www.eco-nomics.com/images/Framework_for_SMM.pdf

Energy and water conservation synergy in China: 2007–2012

Yi Jina, Xu Tanga,⁎, Cuiyang Fenga, Mikael Höökb

https://www.researchgate.net/profile/Yi_Jin51/publication/320073178_Energy_and_water_conservation_synergy_in_China_2007-2012/links/59cc5c13a6fdcc451d5cf2b5/Energy-and-water-conservation-synergy-in-China-2007-2012.pdf

Contributions of Material and Energy Flow Accounting to Urban Ecosystems Analysis: Case Study Singapore

Niels B. Schulz

http://archive.unu.edu/hq/library/Collection/PDF_files/IAS/IAS-WP136.pdf

A review of recent multi-region input–output models used for consumption-based
emission and resource accounting

Thomas Wiedmann

http://wedocs.unep.org/bitstream/handle/20.500.11822/19433/a_review.pdf?sequence=1&isAllowed=y

Physical Input Output (PIOT) Tables:  Developments and Future

http://iioa.org/conferences/18th/papers/files/35_20100427111_Hoekstra-PIOT.pdf

Materials and energy flows in industry and ecosystem netwoks : life cycle assessment, input-output analysis, material flow analysis, ecological network flow analysis, and their combinations for industrial ecology

Suh, S,

2004

https://openaccess.leidenuniv.nl/handle/1887/8399

Applying Ecological Input‐Output Flow Analysis to Material Flows in Industrial Systems: Part I: Tracing Flows

First published: 08 February 2008

Applying Ecological Input‐Output Flow Analysis to Material Flows in Industrial Systems: Part II: Flow Metrics

First published: 08 February 2008

Local systems, global impacts
Using life cycle assessment to analyse the
potential and constraints of industrial symbioses

rising to global challenges

25 Years of Industrial Ecology

 https://is4ie.org/resources/documents/4/download

Literature study on Industrial Ecology

Gerard Fernandez Gonzalez

 

https://upcommons.upc.edu/bitstream/handle/2117/77035/Final%20version%20-%20Document.pdf?sequence=1&isAllowed=y

 

 

 

 

 

Practical Handbook of MATERIAL FLOW ANALYSIS

Paul H. Brunner and Helmut Rechberger

Handbook of Input-Output Economics in Industrial Ecology


 
edited by Sangwon Suh

Taking Stock of Industrial Ecology

edited by Roland Clift, Angela Druckman

Ecological Input-Output Analysis-Based Sustainability Analysis of Industrial Systems

 

Cristina Piluso and Yinlun Huang*

 

Helen H. Lou

An Extended Model for Tracking Accumulation Pathways of Materials Using Input–Output Tables: Application to Copper Flows in Japan

Ryosuke Yokoi * ID , Jun Nakatani ID and Yuichi Moriguchi
2008

TRACING MATERIAL FLOWS ON INDUSTRIAL SITES

Kálmán KÓSI and András TORMA
2005

 

 

 

Metabolism of Cities

 

https://metabolismofcities.org

 

 

 

 

 

Feasibility assessment of using the substance flow analysis methodology for chemicals information at macro level

 

https://www.eea.europa.eu/publications/technical_report_2007_1/file

 

 

 

Structural Investigation of Aluminum in the US Economy using Network Analysis

Philip Nuss, Wei-Qiang Chen Hajime Ohno, and T.E. Graedel

 

http://philip.nuss.me/wp-content/uploads/2016_SA_Network-Analysis-Aluminum_EST.pdf

 

 

 

 

Economy-wide Material Flow Analysis and Indicators

http://www.umweltgesamtrechnung.at/ms/ugr/ugr_en/ugr_physicalaccounts/ugr_materialflowaccounts/

 

 

 

 

Regional distribution and losses of end-of-life steel throughout
multiple product life cycles—Insights from the global multiregional
MaTrace model

 

Stefan Pauliuka,∗, Yasushi Kondob, Shinichiro Nakamurab, Kenichi Nakajimac

 

https://ac.els-cdn.com/S0921344916302774/1-s2.0-S0921344916302774-main.pdf?_tid=838ffb90-95a9-4f3a-a617-f619f32d4558&acdnat=1531385937_3f722f2c2f71337c47a1024b0c841d16

 

 

 

 

MaTrace: Tracing the Fate of Materials over Time and Across Products in Open-Loop Recycling

Shinichiro Nakamura,*,† Yasushi Kondo,† Shigemi Kagawa,‡ Kazuyo Matsubae,§ Kenichi Nakajima,⊥ and Tetsuya Nagasaka§

https://pubs.acs.org/doi/pdf/10.1021/es500820h

 

 

 

 

 

Tracing China’s energy flow and carbon dioxide flow based on Sankey diagrams

 

Feiyin Wang1,2 • Pengtao Wang1,2 • Xiaomeng Xu1,2 • Lihui Dong1,2 • Honglai Xue1,2 • Shuai Fu1,2 • Yingxu Ji

 

https://www.researchgate.net/profile/Xiaomeng_Xu7/publication/318642022_Tracing_China%27s_energy_flow_and_carbon_dioxide_flow_based_on_Sankey_diagrams/links/5a59cd7f458515450270f982/Tracing-Chinas-energy-flow-and-carbon-dioxide-flow-based-on-Sankey-diagrams.pdf

 

 

 

 

Materials Flow and Sustainability

USGS

 

 

 

Life-cycle assessment

https://en.wikipedia.org/wiki/Life-cycle_assessment

 

 

 

 

LIFE CYCLE ASSESSMENT: PRINCIPLES AND PRACTICE

Scientific Applications International Corporation (SAIC) 11251 Roger Bacon Drive
Reston, VA 20190

 

http://www.epa.gov/nrmrl/lcaccess/pdfs/chapter1_frontmatter_lca101.pdf

 

 

 

 

Life cycle analysis (LCA) and sustainability assessment

 

http://www4.ncsu.edu/~richardv/documents/IntroductiontoLCAAU32013.pdf

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Shareholder Capitalism: Rising Market Concentration, Slower Productivity Growth, Rising Inequality, Rising Profits, and Rising Equities Markets

Shareholder Capitalism: Rising Market Concentration, Slower Productivity Growth, Rising Inequality, Rising Profits, and Rising Equities Markets

 

Public traded companies are always under pressure to show earnings growth and sales revenue growth to enhance shareholder value.

 

How do they do it when markets have matured and economy has slowed?

  • Lower Costs
  • Increase Market Share

 

How do then companies lower their costs?

  • Vertical Mergers and Acquisitions
  • Outsourcing (Sourcing parts and components / Intermediate Goods / Inputs from cross border)
  • Offshoring (Shifting Production cross border)
  • Vertical Integration

 

How do then companies increase their market share?

  • Horizontal Mergers and Acquisitions
  • Cross Border Markets Share (Sales in other countries)

 

In the last thirty years, this is exactly what has happened in US economy.

Macro Trends of increase in Outsourcing/Offshoring, Increase in Market Concentration, Oncrease in Inequality, Increase in Corporate Profits, Rising Equity Prices, Slower Productivity Growth, Lower Interest Rates, Low Labor Share, and Capital Share.

Please see my other posts expanding on these issues.

Please note that these forces are continuing and trends will remain on current trajectory.

 

Key Terms:

  • Stakeholder vs Shareholder Capitalism
  • Short Termism
  • Slow Productivity Growth
  • Rising Market Concentration
  • Rising Profits
  • Rising Equities Market
  • Rising Inequality
  • Dupont Ratio Analysis
  • Financial Planning (Micro – Firm Level)
  • Economic Planning (Macro- Aggregate Level)
  • Quarterly Capitalism

 

From SHAREHOLDER CAPITALISM: A SYSTEM IN CRISIS

Our current, highly financialised, form of shareholder capitalism is not just failing to provide new capital for investment, it is actively undermining the ability of listed companies to reinvest their own profits. The stock market has become a vehicle for extracting value from companies, not for injecting it.

No wonder that Andy Haldane, Chief Economist of the Bank of England, recently suggested that shareholder capitalism is ‘eating itself.’1 Corporate governance has become dominated by the need to maximise short-term shareholder returns. At the same time, financial markets have grown more complex, highly intermediated, and similarly shorttermist, with shares increasingly seen as paper assets to be traded rather than long term investments in sound businesses.

This kind of trading is a zero-sum game with no new wealth, let alone social value, created. For one person to win, another must lose – and increasingly, the only real winners appear to be the army of financial intermediaries who control and perpetuate the merry-goround. There is nothing natural or inevitable about the shareholder-owned corporation as it currently exists. Like all economic institutions, it is a product of political and economic choices which can and should be remade if they no longer serve our economy, society, or environment.

Here’s the impact this shareholder model is currently having:
• Economy: Shareholder capitalism is holding back productive investment. Even the Chief Executive of BlackRock, the world’s largest asset manager, has admitted that pressure to keep the share price high means corporate leaders are ‘underinvesting in innovation, skilled workforces or essential capital expenditures.’ 2
• Society: Shareholder capitalism is driving inequality. There is growing evidence that attempts to align executive pay with shareholder value are largely responsible for the ballooning of salaries at the top. The prioritisation of shareholder interests has also contributed to a dramatic decline in UK wages relative to profits, helping to explain the failure of ordinary people’s living standards to rise in line with economic growth.
• Environment: Shareholder capitalism helps to drive environmental destruction. It does this by driving risky shortterm behaviour, such as fossil fuel extraction, which ignores long-term environmental risks.

The idea that shareholder capitalism is the most efficient way to mobilise large amounts of capital is no longer tenable.

We need both to create new models of companies, and implement new ways of organising investment that are fit for building an inclusive, equal, and sustainable economy.

Companies should be explicitly accountable to a mission and a set of interests beyond shareholder returns. Equally, investment must provide long-term capital for socially and environmentally useful projects, and damaging forms of speculation must be restricted.

For most people, our economy simply is not working, and the damaging aspects of shareholder capitalism are at least in part responsible. Reforming shareholder capitalism must not be dismissed as too difficult – the crisis is too urgent for that. We can take the first steps towards a better economic model right now. It’s time to act.

 

 

A Crash Course in Dupont Financial Ratio Analysis

 

  • What happens when economic growth slows ?
  • What happens when profit margins decline ?
  • What happens when Sales growth is limited ?
  • What does lead to Mergers and Acquisitions ?
  • What is the impact of Cost of Capital ?
  • What is EVA (Economic Value Added) ?
  • What is impact of Outsourcing/Offshoring on Financial Ratios ?
  • What is impact of Mergers and Acquisitions on Financial Ratios ?
  • What is impact of Stock Buy Backs on Financial Ratios ?
  • What is impact of Dividends on Financial Ratios ?
  • ROS (Return on Sales)
  • ROE (Return on Equities)
  • ROA (Return on Assets)
  • ROIC (Return on Invested Capital)
  • EVA (Economic Value Added)
  • MVA (Market Value Added)

From The DuPont Equation, ROE, ROA, and Growth

The DuPont Equation

The DuPont equation is an expression which breaks return on equity down into three parts: profit margin, asset turnover, and leverage.

Learning Objectives

Explain why splitting the return on equity calculation into its component parts may be helpful to an analyst

Key Takeaways

Key Points

  • By splitting ROE into three parts, companies can more easily understand changes in their returns on equity over time.
  • As profit margin increases, every sale will bring more money to a company’s bottom line, resulting in a higher overall return on equity.
  • As asset turnover increases, a company will generate more sales per asset owned, resulting in a higher overall return on equity.
  • Increased financial leverage will also lead to an increase in return on equity, since using more debt financing brings on higher interest payments, which are tax deductible.

Key Terms

  • competitive advantage: something that places a company or a person above the competition

The DuPont Equation

image

DuPont Model: A flow chart representation of the DuPont Model.

The DuPont equation is an expression which breaks return on equity down into three parts. The name comes from the DuPont Corporation, which created and implemented this formula into their business operations in the 1920s. This formula is known by many other names, including DuPont analysis, DuPont identity, the DuPont model, the DuPont method, or the strategic profit model.

The DuPont Equation: In the DuPont equation, ROE is equal to profit margin multiplied by asset turnover multiplied by financial leverage.

Under DuPont analysis, return on equity is equal to the profit margin multiplied by asset turnover multiplied by financial leverage. By splitting ROE (return on equity) into three parts, companies can more easily understand changes in their ROE over time.

Components of the DuPont Equation: Profit Margin

Profit margin is a measure of profitability. It is an indicator of a company’s pricing strategies and how well the company controls costs. Profit margin is calculated by finding the net profit as a percentage of the total revenue. As one feature of the DuPont equation, if the profit margin of a company increases, every sale will bring more money to a company’s bottom line, resulting in a higher overall return on equity.

Components of the DuPont Equation: Asset Turnover

Asset turnover is a financial ratio that measures how efficiently a company uses its assets to generate sales revenue or sales income for the company. Companies with low profit margins tend to have high asset turnover, while those with high profit margins tend to have low asset turnover. Similar to profit margin, if asset turnover increases, a company will generate more sales per asset owned, once again resulting in a higher overall return on equity.

Components of the DuPont Equation: Financial Leverage

Financial leverage refers to the amount of debt that a company utilizes to finance its operations, as compared with the amount of equity that the company utilizes. As was the case with asset turnover and profit margin, Increased financial leverage will also lead to an increase in return on equity. This is because the increased use of debt as financing will cause a company to have higher interest payments, which are tax deductible. Because dividend payments are not tax deductible, maintaining a high proportion of debt in a company’s capital structure leads to a higher return on equity.

The DuPont Equation in Relation to Industries

The DuPont equation is less useful for some industries, that do not use certain concepts or for which the concepts are less meaningful. On the other hand, some industries may rely on a single factor of the DuPont equation more than others. Thus, the equation allows analysts to determine which of the factors is dominant in relation to a company’s return on equity. For example, certain types of high turnover industries, such as retail stores, may have very low profit margins on sales and relatively low financial leverage. In industries such as these, the measure of asset turnover is much more important.

High margin industries, on the other hand, such as fashion, may derive a substantial portion of their competitive advantage from selling at a higher margin. For high end fashion and other luxury brands, increasing sales without sacrificing margin may be critical. Finally, some industries, such as those in the financial sector, chiefly rely on high leverage to generate an acceptable return on equity. While a high level of leverage could be seen as too risky from some perspectives, DuPont analysis enables third parties to compare that leverage with other financial elements that can determine a company’s return on equity.

ROE and Potential Limitations

Return on equity measures the rate of return on the ownership interest of a business and is irrelevant if earnings are not reinvested or distributed.

Learning Objectives

Calculate a company’s return on equity

Key Takeaways

Key Points

  • Return on equity is an indication of how well a company uses investment funds to generate earnings growth.
  • Returns on equity between 15% and 20% are generally considered to be acceptable.
  • Return on equity is equal to net income (after preferred stock dividends but before common stock dividends) divided by total shareholder equity (excluding preferred shares ).
  • Stock prices are most strongly determined by earnings per share (EPS) as opposed to return on equity.

Key Terms

  • fundamental analysis: An analysis of a business with the goal of financial projections in terms of income statement, financial statements and health, management and competitive advantages, and competitors and markets.

Return On Equity

Return on equity (ROE) measures the rate of return on the ownership interest or shareholders’ equity of the common stock owners. It is a measure of a company’s efficiency at generating profits using the shareholders’ stake of equity in the business. In other words, return on equity is an indication of how well a company uses investment funds to generate earnings growth. It is also commonly used as a target for executive compensation, since ratios such as ROE tend to give management an incentive to perform better. Returns on equity between 15% and 20% are generally considered to be acceptable.

The Formula

Return on equity is equal to net income, after preferred stock dividends but before common stock dividends, divided by total shareholder equity and excluding preferred shares.

Return On Equity: ROE is equal to after-tax net income divided by total shareholder equity.

Expressed as a percentage, return on equity is best used to compare companies in the same industry. The decomposition of return on equity into its various factors presents various ratios useful to companies in fundamental analysis.

ROE Broken Down: This is an expression of return on equity decomposed into its various factors.

The practice of decomposing return on equity is sometimes referred to as the “DuPont System. ”

Potential Limitations of ROE

Just because a high return on equity is calculated does not mean that a company will see immediate benefits. Stock prices are most strongly determined by earnings per share (EPS) as opposed to return on equity. Earnings per share is the amount of earnings per each outstanding share of a company’s stock. EPS is equal to profit divided by the weighted average of common shares.

Earnings Per Share: EPS is equal to profit divided by the weighted average of common shares.

The true benefit of a high return on equity comes from a company’s earnings being reinvested into the business or distributed as a dividend. In fact, return on equity is presumably irrelevant if earnings are not reinvested or distributed.

Assessing Internal Growth and Sustainability

Sustainable– as opposed to internal– growth gives a company a better idea of its growth rate while keeping in line with financial policy.

Learning Objectives

Calculate a company’s internal growth and sustainability ratios

Key Takeaways

Key Points

  • The internal growth rate is a formula for calculating the maximum growth rate a firm can achieve without resorting to external financing.
  • Sustainable growth is defined as the annual percentage of increase in sales that is consistent with a defined financial policy.
  • Another measure of growth, the optimal growth rate, assesses sustainable growth from a total shareholder return creation and profitability perspective, independent of a given financial strategy.

Key Terms

  • retention: The act of retaining; something retained
  • retention ratio: retained earnings divided by net income
  • sustainable growth rate: the optimal growth from a financial perspective assuming a given strategy with clear defined financial frame conditions/ limitations

Internal Growth and Sustainability

The true benefit of a high return on equity arises when retained earnings are reinvested into the company’s operations. Such reinvestment should, in turn, lead to a high rate of growth for the company. The internal growth rate is a formula for calculating maximum growth rate that a firm can achieve without resorting to external financing. It’s essentially the growth that a firm can supply by reinvesting its earnings. This can be described as (retained earnings)/(total assets ), or conceptually as the total amount of internal capital available compared to the current size of the organization.

We find the internal growth rate by dividing net income by the amount of total assets (or finding return on assets ) and subtracting the rate of earnings retention. However, growth is not necessarily favorable. Expansion may strain managers’ capacity to monitor and handle the company’s operations. Therefore, a more commonly used measure is the sustainable growth rate.

Sustainable growth is defined as the annual percentage of increase in sales that is consistent with a defined financial policy, such as target debt to equity ratio, target dividend payout ratio, target profit margin, or target ratio of total assets to net sales.

We find the sustainable growth rate by dividing net income by shareholder equity (or finding return on equity) and subtracting the rate of earnings retention. While the internal growth rate assumes no financing, the sustainable growth rate assumes you will make some use of outside financing that will be consistent with whatever financial policy being followed. In fact, in order to achieve a higher growth rate, the company would have to invest more equity capital, increase its financial leverage, or increase the target profit margin.

Optimal Growth Rate

Another measure of growth, the optimal growth rate, assesses sustainable growth from a total shareholder return creation and profitability perspective, independent of a given financial strategy. The concept of optimal growth rate was originally studied by Martin Handschuh, Hannes Lösch, and Björn Heyden. Their study was based on assessments on the performance of more than 3,500 stock-listed companies with an initial revenue of greater than 250 million Euro globally, across industries, over a period of 12 years from 1997 to 2009.

image

Revenue Growth and Profitability: ROA, ROS and ROE tend to rise with revenue growth to a certain extent.

Due to the span of time included in the study, the authors considered their findings to be, for the most part, independent of specific economic cycles. The study found that return on assets, return on sales and return on equity do in fact rise with increasing revenue growth of between 10% to 25%, and then fall with further increasing revenue growth rates. Furthermore, the authors attributed this profitability increase to the following facts:

  1. Companies with substantial profitability have the opportunity to invest more in additional growth, and
  2. Substantial growth may be a driver for additional profitability, whether by attracting high performing young professionals, providing motivation for current employees, attracting better business partners, or simply leading to more self-confidence.

However, according to the study, growth rates beyond the “profitability maximum” rate could bring about circumstances that reduce overall profitability because of the efforts necessary to handle additional growth (i.e., integrating new staff, controlling quality, etc).

Dividend Payments and Earnings Retention

The dividend payout and retention ratios offer insight into how much of a firm’s profit is distributed to shareholders versus retained.

Learning Objectives

Calculate a company’s dividend payout and retention ratios

Key Takeaways

Key Points

  • Many corporations retain a portion of their earnings and pay the remainder as a dividend.
  • Dividends are usually paid in the form of cash, store credits, or shares in the company.
  • Cash dividends are a form of investment income and are usually taxable to the recipient in the year that they are paid.
  • Dividend payout ratio is the fraction of net income a firm pays to its stockholders in dividends.
  • Retained earnings can be expressed in the retention ratio.

Key Terms

  • stock split: To issue a higher number of new shares to replace old shares. This effectively increases the number of shares outstanding without changing the market capitalization of the company.

Dividend Payments and Earnings Retention

Dividends are payments made by a corporation to its shareholder members. It is the portion of corporate profits paid out to stockholders. On the other hand, retained earnings refers to the portion of net income which is retained by the corporation rather than distributed to its owners as dividends. Similarly, if the corporation takes a loss, then that loss is retained and called variously retained losses, accumulated losses or accumulated deficit. Retained earnings and losses are cumulative from year to year with losses offsetting earnings. Many corporations retain a portion of their earnings and pay the remainder as a dividend.

A dividend is allocated as a fixed amount per share. Therefore, a shareholder receives a dividend in proportion to their shareholding. Retained earnings are shown in the shareholder equity section in the company’s balance sheet –the same as its issued share capital.

Public companies usually pay dividends on a fixed schedule, but may declare a dividend at any time, sometimes called a “special dividend” to distinguish it from the fixed schedule dividends. Dividends are usually paid in the form of cash, store credits (common among retail consumers’ cooperatives), or shares in the company (either newly created shares or existing shares bought in the market). Further, many public companies offer dividend reinvestment plans, which automatically use the cash dividend to purchase additional shares for the shareholder.

Cash dividends (most common) are those paid out in currency, usually via electronic funds transfer or a printed paper check. Such dividends are a form of investment income and are usually taxable to the recipient in the year they are paid. This is the most common method of sharing corporate profits with the shareholders of the company. For each share owned, a declared amount of money is distributed. Thus, if a person owns 100 shares and the cash dividend is $0.50 per share, the holder of the stock will be paid $50. Dividends paid are not classified as an expense but rather a deduction of retained earnings. Dividends paid do not show up on an income statement but do appear on the balance sheet.

image

Example Balance Sheet: Retained earnings can be found on the balance sheet, under the owners’ (or shareholders’) equity section.

Stock dividends are those paid out in the form of additional stock shares of the issuing corporation or another corporation (such as its subsidiary corporation). They are usually issued in proportion to shares owned (for example, for every 100 shares of stock owned, a 5% stock dividend will yield five extra shares). If the payment involves the issue of new shares, it is similar to a stock split in that it increases the total number of shares while lowering the price of each share without changing the market capitalization, or total value, of the shares held.

Dividend Payout and Retention Ratios

Dividend payout ratio is the fraction of net income a firm pays to its stockholders in dividends:

The part of the earnings not paid to investors is left for investment to provide for future earnings growth. These retained earnings can be expressed in the retention ratio. Retention ratio can be found by subtracting the dividend payout ratio from one, or by dividing retained earnings by net income.

Dividend Payout Ratio: The dividend payout ratio is equal to dividend payments divided by net income for the same period.

Relationships between ROA, ROE, and Growth

Return on assets is a component of return on equity, both of which can be used to calculate a company’s rate of growth.

Learning Objectives

Discuss the different uses of the Return on Assets and Return on Assets ratios

Key Takeaways

Key Points

  • Return on equity measures the rate of return on the shareholders ‘ equity of common stockholders.
  • Return on assets shows how profitable a company’s assets are in generating revenue.
  • In other words, return on assets makes up two-thirds of the DuPont equation measuring return on equity.
  • Capital intensity is the term for the amount of fixed or real capital present in relation to other factors of production. Rising capital intensity pushes up the productivity of labor.

Key Terms

  • return on common stockholders’ equity: a fiscal year’s net income (after preferred stock dividends but before common stock dividends) divided by total equity (excluding preferred shares), expressed as a percentage
  • quantitatively: With respect to quantity rather than quality.

Return On Assets Versus Return On Equity

In review, return on equity measures the rate of return on the ownership interest (shareholders’ equity) of common stockholders. Therefore, it shows how well a company uses investment funds to generate earnings growth. Return on assets shows how profitable a company’s assets are in generating revenue. Return on assets is equal to net income divided by total assets.

Return On Assets: Return on assets is equal to net income divided by total assets.

This percentage shows what the company can do with what it has (i.e., how many dollars of earnings they derive from each dollar of assets they control). This is in contrast to return on equity, which measures a firm’s efficiency at generating profits from every unit of shareholders’ equity. Return on assets is, however, a vital component of return on equity, being an indicator of how profitable a company is before leverage is considered. In other words, return on assets makes up two-thirds of the DuPont equation measuring return on equity.

ROA, ROE, and Growth

In terms of growth rates, we use the value known as return on assets to determine a company’s internal growth rate. This is the maximum growth rate a firm can achieve without resorting to external financing. We use the value for return on equity, however, in determining a company’s sustainable growth rate, which is the maximum growth rate a firm can achieve without issuing new equity or changing its debt-to-equity ratio.

Capital Intensity and Growth

Return on assets gives us an indication of the capital intensity of the company. “Capital intensity” is the term for the amount of fixed or real capital present in relation to other factors of production, especially labor. The underlying concept here is how much output can be procured from a given input (assets!). The formula for capital intensity is below:

Capital Intensity=Total AssetsSales

The use of tools and machinery makes labor more effective, so rising capital intensity pushes up the productivity of labor. While companies that require large initial investments will generally have lower return on assets, it is possible that increased productivity will provide a higher growth rate for the company. Capital intensity can be stated quantitatively as the ratio of the total money value of capital equipment to the total potential output. However, when we adjust capital intensity for real market situations, such as the discounting of future cash flows, we find that it is not independent of the distribution of income. In other words, changes in the retention or dividend payout ratios can lead to changes in measured capital intensity.

 

 

1280px-DuPontModelEng.svg

Please see my related posts:

Rising Market Concentration and Declining Business Investments in the USA – Update June 2018

Why do Firms buyback their Shares? Causes and Consequences.

FDI vs Outsourcing: Extending Boundaries or Extending Network Chains of Firms

Trading Down: NAFTA, TPP, TATIP and Economic Globalization

On Inequality of Wealth and Income – Causes and Consequences

Rising Profits, Rising Inequality, and Rising Industry Concentration in the USA

Low Interest Rates and Business Investments : Update August 2017

Low Interest Rates and Monetary Policy Effectiveness

Low Interest Rates and Banks’ Profitability : Update July 2017

Short term Thinking in Investment Decisions of Businesses and Financial Markets

Mergers and Acquisitions – Long Term Trends and Waves

Business Investments and Low Interest Rates

The Decline in Long Term Real Interest Rates

Low Interest Rates and Banks Profitability: Update – December 2016

 

 Key Sources of Research:

 

 

 

The DuPont Equation, ROE, ROA, and Growth

https://courses.lumenlearning.com/boundless-finance/chapter/the-dupont-equation-roe-roa-and-growth/

 

 

Short-Termism in business: causes, mechanisms and consequences

EY Poland Report

 

https://www.ey.com/Publication/vwLUAssets/EY_Poland_Report/%24FILE/Short-termism_raport_EY.pdf

 

 

Shareholders vs Stakeholders Capitalism

Fabian Brandt

Goethe University

Konstantinos Georgiou

University of Pennsylvania

 

https://scholarship.law.upenn.edu/cgi/viewcontent.cgi?article=1002&context=fisch_2016

 

 

Hedrick Smith Speaks to the Community about Who Stole the American Dream.

 

http://nhlabornews.com/2013/10/hedrick-smith-speaks-to-the-community-about-who-stole-the-american-dream/

 

 

Let’s Talk About “Maximizing Shareholder Value”

https://www.pragcap.com/lets-talk-about-maximizing-shareholder-value/

 

 

SHAREHOLDER CAPITALISM: A SYSTEM IN CRISIS

 

New Economics Foundation

 

https://neweconomics.org/uploads/files/NEF_SHAREHOLDER-CAPITALISM_E_latest.pdf

 

 

 

THE HISTORICAL CONTEXT OF SHAREHOLDER VALUE CAPITALISM

 

Mark S. Mizruchi and Howard Kirneldorf

 

https://pdfs.semanticscholar.org/63d9/191bbc2b82f351633c7379deea7b9ccad0e9.pdf

 

 

Shareholder capitalism on trial

 

By Robert J. Samuelson

 

http://www.law.harvard.edu/programs/corp_gov/MediaMentions/03-19-15_WashingtonPost.pdf

 

 

 

The real business of business

McKinsey

 

https://www.mckinsey.com/~/media/mckinsey/dotcom/client_service/Corporate%20Finance/MoF/Issue%2053/MoF53_The_real_business_of_business.ashx

 

 

 

Managers and Market Capitalism

 

Rebecca Henderson Karthik Ramanna

HBR

 

https://www.hbs.edu/faculty/conferences/2013-sustainability-and-corporation/Documents/Henderson_Ramanna___Managers_and_Market_Capitalism___March_2013.pdf

 

 

The Embedded Firm: Corporate Governance, Labor, and Finance Capitalism

Peer Zumbansen

Cynthia A. Williams

 

http://digitalcommons.osgoode.yorku.ca/cgi/viewcontent.cgi?article=1056&context=clpe

 

 

 

 

Andrew G Haldane: Who owns a company?

Speech by Mr Andrew G Haldane,

Executive Director and Chief Economist of the Bank of England,

at the University of Edinburgh Corporate Finance Conference, Edinburgh,

22 May 2015.

 

https://www.bis.org/review/r150811a.pdf

 

 

 

 

Capitalism for the Long Term

MARCH 2011
HBR

The Short Long

 

Speech by
Andrew G Haldane, Executive Director, Financial Stability, and Richard Davies

29th Societé Universitaire Europeene de Recherches Financieres Colloquium: New Paradigms in Money and Finance?

Brussels

May 2011

 

https://www.bankofengland.co.uk/-/media/boe/files/speech/2011/the-short-long-speech-by-andrew-haldane

 

 

 

 

Is short-termism wrecking the economy?

Redefining capitalism

By Eric Beinhocker and Nick Hanauer

Fast finance and slow growth

 

Andy Haldane

http://progressive-policy.net/2015/09/fast-finance-and-slow-growth/

 

Beyond Shareholder Value

The reasons and choices for corporate governance reform

https://www.tuc.org.uk/sites/default/files/BSV.pdf

 

 

AN ECONOMY FOR THE 99%

It’s time to build a human economy that benefits everyone, not just the privileged few

OXFAM

 

https://www.oxfam.org/sites/www.oxfam.org/files/file_attachments/bp-economy-for-99-percent-160117-en.pdf

 

 

Short-Termism

By Douglas K. Chia

 

https://www.law.columbia.edu/sites/default/files/microsites/millstein-center/files/10Anniversary/01181_millstein_10th_anniversary_essay_2_chia_v2.pdf

 

 

 

The Future of Finance

THE LSE REPORT

 

http://www.lse.ac.uk/fmg/assets/documents/paul-woolley-centre/articles-of-general-interest/future-of-finance-chapter-3.pdf

 

 

 

Is Short-Term Behavior Jeopardizing the Future Prosperity of Business?

 

http://www.wlrk.com/docs/IsShortTermBehaviorJeopardizingTheFutureProsperityOfBusiness_CEOStrategicImplications.pdf

 

 

 

 

How Effective Capital Regulation can Help Reduce the Too‐Big‐To‐Fail Problem

Anat Admati

Stanford University

 

http://bankersnewclothes.com/wp-content/uploads/2016/04/Minn-Fed-combined.pdf

 

 

 

Business School’s Worst Idea: Why the “Maximize Shareholder Value” Theory Is Bogus

Yves Smith

http://evonomics.com/maximize-shareholder-value-theory-yves-smith/

 

 

 

When Shareholder Capitalism Came to Town

The American Prospect

http://prospect.org/article/when-shareholder-capitalism-came-town

 

 

 

Competition Conference 2018

What’s the Evidence for Strengthening Competition Policy?

Boston University

July 2018

http://sites.bu.edu/tpri/competition-conference-2018/

 

 

 

Market Concentration

Issues paper by the Secretariat
6-8 June 2018

This document was prepared by the OECD Secretariat to serve as an issues paper for the hearing on market concentration taking place at the 129th meeting of the OECD Competition Committee on 6-8 June 2018

https://one.oecd.org/document/DAF/COMP/WD(2018)46/en/pdf

 

 

 

 

Monopoly’s New Era

In today’s economy, many industries can’t be analyzed through the lens of competition.

Chazen Global Insights
May 13, 2016

 

https://www8.gsb.columbia.edu/articles/chazen-global-insights/monopoly-s-new-era

 

 

 

Market power in the U.S. economy today

Washington Center for Equitable Growth

http://equitablegrowth.org/research-analysis/market-power-in-the-u-s-economy-today/

 

 

 

Don’t Panic: A Guide to Claims of Increasing Concentration

Gregory J. Werden

Luke Froeb

 

Date Written: April 5, 2018

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3156912

 

 

 

Market concentration

OECD

http://www.oecd.org/daf/competition/market-concentration.htm

 

 

 

 

A Firm-Level Perspective on the Role of Rents in the Rise in Inequality

Jason Furman Peter Orszag1

October 16, 2015

http://gabriel-zucman.eu/files/teaching/FurmanOrszag15.pdf

 

 

 

Do the Productivity Slowdown and the Inequality Increase Have a Common Cause?

Jason Furman (joint work with Peter Orszag)

Peterson Institute for International Economics
Washington, DC
November 9, 2017

https://piie.com/system/files/documents/4-1furman20171109ppt.pdf

 

 

 

Is There a Connection Between Market Concentration and the Rise in Inequality?

https://promarket.org/connection-market-concentration-rise-inequality/

 

 

 

Concentrating on the Fall of the Labor Share

David; Dorn, David; Katz, Lawrence F; Patterson, Christina; Reenen, John Van

https://pdfs.semanticscholar.org/cbc2/b8d7a989cab4b76e7fe795bf4572dbcdd0bc.pdf

 

 

 

 

Business Investment Spending Slowdown

April 9, 2018

FAS Congressional Research Services

Marc Labonte

https://fas.org/sgp/crs/misc/IN10882.pdf

 

 

 

 

Market Power and Inequality: The Antitrust Counterrevolution and Its Discontents

Lina Khan and Sandeep Vaheesan

http://harvardlpr.com/wp-content/uploads/2017/02/HLP110.pdf

 

 

 

Five Myths about Economic Inequality in America

By Michael D. Tanner
September 7, 2016

 

Cato Institiute

https://www.cato.org/publications/policy-analysis/five-myths-about-economic-inequality-america

 

 

 

 

Is the US Public Corporation in Trouble?

Kathleen M. Kahle and René M. Stulz

https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.31.3.67

 

 

 

Declining Labor and Capital Shares

Simcha Barkai

http://www.eco.uc3m.es/~mkredler/ReadGr/FeijooOnBarkai17.pdf

 

 

 

Growing Productivity without Growing Wages: The Micro-Level Anatomy of the Aggregate Labor Share Decline

Kehrig, Matthias; Vincent, Nicolas

(2017)

https://www.econstor.eu/bitstream/10419/161893/1/cesifo1_wp6454.pdf

 

 

 

 

Declining Competition and Investment in the U.S.

Germán Gutiérrez† and Thomas Philippon‡

March 2017

https://www8.gsb.columbia.edu/faculty-research/sites/faculty-research/files/finance/Macro%20Lunch/IK_Comp_v1.pdf

 

 

 

ACCOUNTING FOR RISING CORPORATE PROFITS: INTANGIBLES OR REGULATORY
RENTS?

James Bessen

Boston University School of Law

November 9, 2016

https://www.bu.edu/law/files/2016/11/Accounting-for-Rising-Corporate-Profits.pdf

 

 

 

 

Kaldor and Piketty’s facts: The rise of monopoly power in the United States

Gauti Eggertsson
Jacob A. Robbins
Ella Getz Wold

Feb 2018

https://equitablegrowth.org/wp-content/uploads/2018/02/02052018-WP-kaldor-piketty-monopoly-power.pdf

 

 

 

 

Is There an Investment Gap in Advanced Economies? If So, Why?

Robin Döttling

German Gutierrez Gallardo

Thomas Philippon

 

Date Written: July 2017

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3002796

 

 

 

 

Antitrust in a Time of Populism

Professor Carl Shapiro

CRESSE 2017 Heraklion – Crete, Greece

2 July 2017
http://www.cresse.info/uploadfiles/2017_Key_SHAPIRO.pdf

 

 

 

The Incredible Shrinking Universe of Stocks

The Causes and Consequences of Fewer U.S. Equities

Credit Suisse

March 2917

https://www.cmgwealth.com/wp-content/uploads/2017/03/document_1072753661.pdf

 

 

 

Declining Competition and Investment in the U.S

German Gutierrez Gallardo

Thomas Philippon

 

Date Written: December 2017

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3095586

 

 

 

 

The Fall and Rise of Market Power in Europe

John P. Weche and Achim Wambach

https://ub-madoc.bib.uni-mannheim.de/44598/1/dp18003.pdf

https://www.econstor.eu/bitstream/10419/173383/1/1011811367.pdf

 

 

 

 

On the Formation of Capital and Wealth: IT, Monopoly Power and Rising Inequality

Mordecai Kurz,

Stanford University

2018

https://pdfs.semanticscholar.org/6564/e50bf8be5c75f1cca2e9e3d4afa4b8b8ac84.pdf

 

 

 

 

Appendix for \Investment-less Growth: An Empirical Investigation”

 

German Gutierrez and Thomas Philippony

March 2018

https://www.brookings.edu/wp-content/uploads/2017/09/gutierrezappendixfa17bpea.pdf

 

 

 

 

WP 18-4 Slower Productivity and Higher Inequality: Are They Related?

Jason Furman and Peter Orszag

June 2018

PIIE

https://piie.com/system/files/documents/wp18-4.pdf

 

 

 

 

THE FUTURE OF PRODUCTIVITY

OECD

2015

 

https://www.oecd.org/eco/OECD-2015-The-future-of-productivity-book.pdf

 

 

 

 

OECD Study on the Future of Productivity

Video

PIIE

 

 

 

 

 

A productivity perspective on the future of growth

By James Manyika, Jaana Remes, and Jonathan Woetzel
McKinsey
2014

https://www.mckinsey.com/featured-insights/employment-and-growth/a-productivity-perspective-on-the-future-of-growth

 

 

 

 

The future of productivity in manufacturing

Anne Green, Terence Hogarth, Erika Kispeter, David Owen

Peter Glover

February 2016

https://warwick.ac.uk/fac/soc/ier/research/strategic_lmi/ier_2016_manufacturing_sector_productivity_report.pdf

 

 

 

 

THE PRODUCTIVITY OUTLOOK: PESSIMISTS VERSUS OPTIMISTS

August 2016

Zia Qureshi
at the Brookings Institution
https://www.brookings.edu/wp-content/uploads/2016/08/productivity-outlook.pdf

 

 

 

The Slowdown in Productivity Growth: A View from International Trade

Development Issues No. 11

UN

April 2017

https://www.un.org/development/desa/dped/wp-content/uploads/sites/45/publication/dsp_policy_11.pdf

 

 

 

 

Five Puzzles in the Behavior of Productivity, Investment, and Innovation

Robert J. Gordon

NBER

August 2004

http://www.nber.org/papers/w10660

 

 

 

 

AN OECD AGENDA ON ISSUES IN PRODUCTIVITY MEASUREMENT

Paul Schreyer

OECD Statistics Directorate
2016 World KLEMS Conference
Madrid, May 23-24 2016

http://www.worldklems.net/conferences/worldklems2016/worldklems2016_Schreyer_slides.pdf

 

 

 

THE FUTURE OF PRODUCTIVITY

Chiara Criscuolo
Directorate for Science, Technology and Innovation OECD

Understanding the Great recession: from micro to macro
Bank of England
London | 24 September 2015

https://www.ifs.org.uk/uploads/Presentations/Understanding%20the%20recession_230915/CCriscuolo.pdf

 

 

 

 

 

Industry 4.0

The future of Productivity and Growth in Manufacturing Industries

BCG

https://www.zvw.de/media.media.72e472fb-1698-4a15-8858-344351c8902f.original.pdf

 

 

 

 

The waning of productivity growth

Raymond Van der Putten

http://economic-research.bnpparibas.com/Views/DisplayPublication.aspx?type=document&IdPdf=29178

 

 

The Impact of Robots on Productivity, Employment and Jobs

A positioning paper by the International Federation of Robotics

April 2017

https://ifr.org/img/office/IFR_The_Impact_of_Robots_on_Employment.pdf

 

 

 

 

The fall in productivity growth: causes and implications

Speech given by Silvana Tenreyro, External MPC Member, Bank of England

Peston Lecture Theatre, Queen Mary University of London

15 January 2018

https://www.bankofengland.co.uk/-/media/boe/files/speech/2018/the-fall-in-productivity-growth-causes-and-implications

 

 

 

Artificial Intelligence, Automation, and the Economy

Science and Technology Council

Executive Office of the President

December 2016

https://www.whitehouse.gov/sites/whitehouse.gov/files/images/EMBARGOED%20AI%20Economy%20Report.pdf

 

 

 

 

Long-term growth and productivity projections in advanced countries

Gilbert Cette, Rémy Lecat & Carole Ly-Marin

Working Paper #617

December 2016

Bank of France

http://www.longtermproductivity.com/download/DT617.pdf

 

 

 

ARE WE APPROACHING AN ECONOMIC SINGULARITY?
INFORMATION TECHNOLOGY AND THE FUTURE OF ECONOMIC GROWTH

By
William D. Nordhaus

September 2015

https://cowles.yale.edu/sites/default/files/files/pub/d20/d2021.pdf

 

 

 

Challenges for the Future of Chinese Economic Growth

Jane Haltmaier

Federal Reseve Bank USA

2013

https://www.federalreserve.gov/pubs/ifdp/2013/1072/ifdp1072.pdf

 

 

 

Innovation, research and the UK’s productivity crisis.

Richard Jones

SPERI Paper No. 28

http://speri.dept.shef.ac.uk/wp-content/uploads/2016/04/SPERI-Paper-28-Innovation-research-and-the-UK-productivity-crisis.pdf

 

 

 

Think Like an Enterprise: Why Nations Need Comprehensive Productivity Strategies

BY ROBERT D. ATKINSON

MAY 2016

http://www2.itif.org/2016-think-like-an-enterprise.pdf

 

 

 

Solving the productivity puzzle

By Jaana Remes, James Manyika, Jacques Bughin, Jonathan Woetzel, Jan Mischke, and Mekala Krishnan

McKinsey

Feb 2018

https://www.mckinsey.com/featured-insights/meeting-societys-expectations/solving-the-productivity-puzzle

 

 

 

Solving the productivity puzzle: the role of demand and the promise of digitization

DR. JAN MISCHKE

McKinsey Global Institute

May 2018

http://bruegel.org/wp-content/uploads/2018/05/20180523-MGI_Solving-the-productivity-puzzle_Bruegel.pdf

 

 

Worried about Concentration? Then Worry about Rent-Seeking

By Brink Lindsey and Steven Teles
This article appeared on ProMarket on April 18, 2017.

 

https://www.cato.org/publications/commentary/worried-about-concentration-then-worry-about-rent-seeking

 

 

 

Online platforms, distortion of markets, social impacts and freedom of expression

Oxford Centre for Competition law and policy

22 May 2017

Tim Cowen.

https://www.iicom.org/images/iic/events/regional-local/Europe/20Sep2017/Tim_Cowen_Oxford_Centre_for_Competition_Law_and_Policy_speech_22May2017—updated-21.09.2017.pdf

 

 

 

What’s Behind the Increase in Inequality?

By Eileen Appelbaum*

September 2017

http://cepr.net/images/stories/reports/whats-behind-the-increase-in-inequality-2017-09.pdf

 

 

 

A NATIONAL COMPETITION POLICY: UNPACKING THE PROBLEM OF DECLINING COMPETITION AND SETTING PRIORITIES MOVING FORWARD

American Antitrust Institute

September 28, 2016

http://www.antitrustinstitute.org/sites/default/files/AAINatlCompPolicy.pdf

 

 

 

AI and the Economy

Jason Furman
Harvard Kennedy School
Cambridge, MA

Robert Seamans
NYU Stern School of Business
New York, NY

29 May 2018

http://www.nber.org/chapters/c14099.pdf

 

 

 

The United States and Europe: Short-Run Divergence and Long-Run Challenges

Jason Furman
Chairman, Council of Economic Advisers

Remarks at Bruegel
Brussels, Belgium
May 11, 2016

http://bruegel.org/wp-content/uploads/2016/05/The-United-States-and-Europe-Short-Run-Divergence-and-Long-Run-Challenges-Jason-Furman.pdf

 

 

 

 

Business Investment Spending Slowdown

April 9, 2018

Marc Labonte

CRS Insights

https://fas.org/sgp/crs/misc/IN10882.pdf

 

 

 

 

ECONOMIC REPORT OF THE PRESIDENT

Together With
THE ANNUAL REPORT
of the
COUNCIL OF ECONOMIC ADVISERS

Feb 2016

https://www.gpo.gov/fdsys/pkg/ERP-2016/pdf/ERP-2016.pdf

 

 

Keynote Remarks of Commissioner Terrell McSweeny

Washington Center for Equitable Growth

Making Antitrust Work for the 21st Century

Washington, DC

October 6, 2016
https://www.ftc.gov/system/files/documents/public_statements/988713/mcsweeny_-_keynote_remarks_at_equitable_growth_10-6-16.pdf

 

 

Wal-Mart: A Progressive Success Story

Jason Furman

November 28, 2005

https://www.mackinac.org/archives/2006/walmart.pdf

 

 

“America Without Entrepreneurs: The Consequences of Dwindling Startup Activity”

Testimony before
The Committee on Small Business and Entrepreneurship
United States Senate
June 29, 2016

John W. Lettieri
Cofounder
& Senior Director for Policy and Strategy
Economic Innovation Group

https://www.sbc.senate.gov/public/_cache/files/0/d/0d8d1a51-ee1d-4f83-b740-515e46e861dc/7F75741C1A2E6182E1A5D21B61D278F3.lettieri-testimony.pdf

 

 

 

 

A reading list on market power, superstar firms, and inequality

BLOG

http://www.beyondthetimes.com/2017/08/16/a-partial-reading-list-on-market-power-superstar-firms-and-inequality/

 

 

 

 

 

Productivity Growth in the Advanced Economies:The Past, the Present, and Lessons for the Futures

Jason Furman

Chairman, Council of Economic Advisers

July 2015

https://obamawhitehouse.archives.gov/sites/default/files/docs/20150709_productivity_advanced_economies_piie_slides.pdf

 

 

 

 

 

Forms and sources of inequality in the United States

Jason Furman

17 March 2016

VOXEU

 

https://voxeu.org/article/forms-and-sources-inequality-united-states

 

 

 

 

Business Investment in the United States: Facts, Explanations, Puzzles, and Policies

Jason Furman
Chairman, Council of Economic Advisers
Progressive Policy Ins9tute

September 30, 2015

http://www.progressivepolicy.org/wp-content/uploads/2015/09/2015.09.30-Jason-Furman_Business-Investment-in-US-Facts-Explanations-Puzzles-Policies.pdf

 

 

 

 

Can Tax Reform Get Us to 3 Percent Growth?

Jason Furman
Harvard Kennedy School & Peterson Institute for International Economics

New York, NY
November 3, 2017

https://piie.com/system/files/documents/furman20171103ppt.pdf

 

 

 

 

Structural Challenges and Opportunities in the U.S. Economy

Jason Furman
Chairman, Council of Economic Advisers

London School of Economics
November 5, 2014

http://www.lse.ac.uk/assets/richmedia/channels/publicLecturesAndEvents/transcripts/20141105_1830_structuralOpportunitiesUSEconomy_tr.pdf

 

 

Is This Time Different? The Opportunities and Challenges of Artificial Intelligence

Jason Furman
Chairman, Council of Economic Advisers

Remarks at AI Now: The Social and Economic Implications of Artificial Intelligence Technologies in the Near Term
New York University
New York, NY

July 7, 2016

https://obamawhitehouse.archives.gov/sites/default/files/page/files/20160707_cea_ai_furman.pdf

 

 

 

 

Rebalancing the U.S. Economy

Jason Furman

http://www.international-economy.com/TIE_Sp15_Furman.pdf

 

 

 

 

Should Policymakers Care Whether Inequality Is Helpful or Harmful For Growth?

Jason Furman

Harvard Kennedy School & Peterson Institute for International Economics
Rethinking Macroeconomic Conference, October 11-12 2017

Preliminary Draft: October 5, 2017

https://piie.com/system/files/documents/furman20171012paper.pdf

 

 

 

 

 

A Political Economy of Oligarchy: Winner-take-all ideology, superstar norms, and the rise of the 1%

Yochai Benkler

September, 2017

http://www.benkler.org/Political%20economy%20of%20oligarchy%2001.pdf

 

 

 

 

Can Trump Overcome Secular Stagnation?
Part One: The Demand Side *

James K. Galbraith

http://www.insightweb.it/web/files/can_trump_overcome_secular_stagnation.pdf

 

 

 

 

The macroeconomic effects of the 2017 tax reform

Robert J. Barro, Harvard University
Jason Furman, Harvard University

March 2018

https://www.brookings.edu/wp-content/uploads/2018/03/4_barrofurman.pdf

 

 

 

 

A FUTURE THAT WORKS: AUTOMATION, EMPLOYMENT, AND PRODUCTIVITY

McKinsey Global Institute

January 2017

https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/A-future-that-works-Executive-summary-MGI-January-2017.ashx

 

 

 

A MISSING LINK: THE ROLE OF ANTITRUST LAW IN RECTIFYING EMPLOYER POWER IN OUR HIGH-PROFIT, LOW-WAGE ECONOMY

ISSUE BRIEF BY MARSHALL STEINBAUM

APRIL 2018

http://rooseveltinstitute.org/wp-content/uploads/2018/04/Monopsony-issue-brief.pdf

 

 

 

Inclusive Growth

For once, some good news

by jason furman

https://assets1b.milkeninstitute.org/assets/Publication/MIReview/PDF/16-29-MR64.pdf

 

 

 

 

The Outlook for the U.S. Economy and the Policies of the New President

Jason Furman
Senior Fellow, PIIE
Peterson Institute for International Economics |

SNS/SHOF Finance Panel

Stockholm

June 12, 2017

https://www.sns.se/wp-content/uploads/2017/06/furman20170612ppt.pdf

 

 

 

 

The Role of Economists in Economic Policymaking

Jason Furman
Senior Fellow, Peterson Institute for International Economics

Arnold C. Harberger Distinguished Lecture on Economic Development
UCLA Burkle Center for International Relations
Los Angeles, CA

April 27, 2017

http://www.washingtonspeakers.com/images/pdfs/furman20170427.pdf

 

 

 

 

Market Concentration – Note by the United States

Hearing on Market Concentration
7 June 2018

OECD

https://www.ftc.gov/system/files/attachments/us-submissions-oecd-other-international-competition-fora/market_concentration_united_states.pdf

http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DAF/COMP/WD(2018)59&docLanguage=En

 

 

 

 

The fringe economic theory that might get traction in the 2016 campaign

 

https://www.washingtonpost.com/news/wonk/wp/2015/03/02/the-fringe-economic-theory-that-might-get-traction-in-the-2016-campaign/?noredirect=on&utm_term=.77c5e3479485

 

 

 

ACHIEVING INCLUSIVE GROWTH IN THE FACE OF DIGITAL TRANSFORMATION AND THE FUTURE OF WORK

OECD

https://www.g20.org/sites/default/files/documentos_producidos/achieving_inclusive_growth_in_the_face_of_digital_transformation_and_the_future_of_work_oecd_0.pdf

Rising Market Concentration and Declining Business Investments in the USA – Update June 2018

Rising Market Concentration and Declining Business Investments in the USA – Update June 2018

 

Since my last posts in August/September 2017 on the subject of

  • Market Concentration
  • Inequality
  • Market Power
  • Reduced Competition
  • Reduced Dynamism
  • Rising Profits
  • Declining Business Investments

several new studies have been published.  In addition, several important hearings and conferences have been organized by OECD, Brookings Institution, Boston University School of Law. Please see my list of references for details of each one of them.

This topic now is getting good attention in media also.

The Peterson Institute for International Economics (PIIE) held a major research conference on the “Policy Implications of Sustained Low Productivity Growth” on November 9, 2017. Jeromin Zettelmeyer, PIIE, moderates panel 4, “Wages and Inequality.” Presenters include Jason Furman, Harvard University and PIIE, and Lawrence H. Summers, Harvard University.  I have given the link to Video of the session 4 in the references.

OECD on June 7-8, 2018 held hearings on Market Concentration at Paris, France.  Several presentations were given by experts in the field.  I have given link to the conference webpage in the references.

The Hamilton Project/Brookings Institution had a Conference on June 13, 2018 in Washington DC on the subject of Market Concentration.  Please see the link to the conference video and papers in the references below.

 

 

From The State of Competition and Dynamism:
Facts about Concentration, Start-Ups, and Related Policies

concentration

From The State of Competition and Dynamism:
Facts about Concentration, Start-Ups, and Related Policies

 

concentration2concentration3concentration4concentration5

Please see my related posts:

Rising Profits, Rising Inequality, and Rising Industry Concentration in the USA

Low Interest Rates and Business Investments : Update August 2017

Increasing Returns, Path Dependence, Circular and Cumulative Causation in Economics

Increasing Returns and Path Dependence in Economics

Business Investments and Low Interest Rates

Mergers and Acquisitions – Long Term Trends and Waves

 

Key Sources of Research:

Building a More Dynamic and Competitive Economy

Hamilton Project

Brookings

June 13, 2018

http://www.hamiltonproject.org/events/building_a_more_dynamic_and_competitive_economy

Video of the Opening Remarks and Fireside Chat – Robert Rubin, Jason Furman, Steve Case

The State of Competition and Dynamism:
Facts about Concentration, Start-Ups, and Related Policies

 

Jay Shambaugh, Ryan Nunn, Audrey Breitwieser, and Patrick Liu

Brookings/Hamilton Project

June 2018

 

https://www.brookings.edu/wp-content/uploads/2018/06/ES_THP_20180611_CompetitionFacts_20180611.pdf

 

 

 

Market Concentration

OECD Hearing on Market Concentration

June 7-8, 2018

http://www.oecd.org/daf/competition/market-concentration.htm

 

 

 

Market Concentration Issues paper by the Secretariat

6-8 June 2018

OECD

 

http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DAF/COMP/WD(2018)46&docLanguage=En

http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DAF/COMP/WD(2018)67&docLanguage=En

 

 

 

Presented by the Business at OECD (BIAC) Competition Committee to the OECD Competition Committee

Market Concentration

June 7, 2018

 

http://biac.org/wp-content/uploads/2018/05/BIAC_CC_Market-Concentration_2018-05-22_FINAL1.pdf

 

 

 

 

 

Chapter VI

MARKET POWER AND INEQUALITY: THE REVENGE OF THE RENTIERS

Trade and Development Report 2017

UNCTAD

 

http://unctad.org/en/PublicationChapters/tdr2017ch6_en.pdf

 

 

The fall and rise of market power in Europe∗

John P. Wechea,b & Achim Wambacha

 

http://ftp.zew.de/pub/zew-docs/dp/dp18003.pdf

 

 

 

A policy at peace with itself: Antitrust remedies for our concentrated, uncompetitive economy

William A. Galston and Clara Hendrickson

2018

https://www.brookings.edu/research/a-policy-at-peace-with-itself-antitrust-remedies-for-our-concentrated-uncompetitive-economy/

 

 

 

 

The Rise of Market Power and the Macroeconomic Implications

Jan De Loecker, Jan Eeckhout

Issued in August 2017

http://www.nber.org/papers/w23687

 

 

 

 

This chart highlights the rise of corporate giants

WEF

2018

https://www.weforum.org/agenda/2018/06/chart-of-the-week-the-rise-of-corporate-giants

 

 

 

Market power in the U.S. economy today

 

https://equitablegrowth.org/market-power-in-the-u-s-economy-today/

 

 

 

Is Lack of Competition Strangling the U.S. Economy?

David Wessel

https://hbr.org/2018/03/is-lack-of-competition-strangling-the-u-s-economy

 

 

 

Competition Conference 2018

What’s the Evidence for Strengthening Competition Policy?

Boston University

July 2018

http://sites.bu.edu/tpri/news-and-events/competition-conference-2018/

 

 

 

Declining Competition and Investment in the U.S.

Germán Gutiérrez† and Thomas Philippon‡

November 2017

https://www.aeaweb.org/conference/2018/preliminary/paper/iDeysKkh

 

 

Should We Really Care About Inequality?

https://www.project-syndicate.org/videos/should-we-really-care-about-inequality

 

 

 

 

Beyond Antitrust: The Role of Competition Policy in Promoting Inclusive Growth

Jason Furman

Chairman, Council of Economic Advisers

Searle Center Conference on Antitrust Economics and Competition Policy Chicago, IL

September 16, 2016

 

https://obamawhitehouse.archives.gov/sites/default/files/page/files/20160916_searle_conference_competition_furman_cea.pdf

 

 

POWERLESS: How Lax Antitrust and Concentrated Market Power
Rig the Economy Against American Workers, Consumers, and Communities

Roosvelt Institute

http://rooseveltinstitute.org/wp-content/uploads/2018/03/Powerless.pdf

 

 

 

Is Government the Problem or the Solution to U.S. Labor Market Challenges?

Jason Furman

2018

 

https://minneapolisfed.org/~/media/files/institute/conferences/2018-05/furman-slides.pdf?la=en

 

 

 

With Competition in Tatters, the Rip of Inequality widens

 

 

 

THE 2018 JOINT ECONOMIC REPORT

REPORT OF THE JOINT ECONOMIC COMMITTEE CONGRESS OF THE UNITED STATES

ON THE 2018 ECONOMIC REPORT OF THE PRESIDENT

 

https://www.congress.gov/115/crpt/hrpt596/CRPT-115hrpt596.pdf

 

 

 

 

Concentration not competition: the state of UK consumer markets

2017

 

http://www.smf.co.uk/wp-content/uploads/2017/10/Concentration-not-competition.pdf

 

 

 

CORPORATE RENT-SEEKING, MARKET POWER AND INEQUALITY:
TIME FOR A MULTILATERAL TRUST BUSTER?

UNCTAD

May 2018

 

http://unctad.org/en/PublicationsLibrary/presspb2018d3_en.pdf

 

 

 

America’s Superstar Companies Are a Drag on Growth

Lack of competition lets them gouge consumers, underpay workers and invest too little.

 

https://www.bloomberg.com/view/articles/2017-09-01/america-s-superstar-companies-are-a-drag-on-growth

 

 

 

Big Companies Are Getting a Chokehold on the Economy

Even Goldman Sachs is worried that they’re stifling competition, holding down wages and weighing on growth.

https://www.bloomberg.com/view/articles/2018-02-22/big-companies-gaining-monopoly-power-pose-risk-to-u-s-economy

 

 

 

Monopolies May Be Worse for Workers Than for Consumers

There isn’t much evidence that they raise prices, but they do seem to hold down wages.

https://www.bloomberg.com/view/articles/2017-12-29/monopolies-may-be-worse-for-workers-than-for-consumers

 

 

 

 

LABOR MARKET CONCENTRATION

José Azar
Ioana Marinescu Marshall I. Steinbaum

2017 December

 

http://www.nber.org/papers/w24147.pdf

 

 

 

 

More and more companies have monopoly power over workers’ wages. That’s killing the economy.

The trend can explain slow growth, “missing” workers, and stagnant salaries.

 

https://www.vox.com/the-big-idea/2018/4/6/17204808/wages-employers-workers-monopsony-growth-stagnation-inequality

 

Antitrust Remedies for Labor Market Power

Suresh Naidu

Eric A. Posner

E. Glen Weyl

 

Date Written: February 23, 2018

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3129221

 

 

Policy Implications of Sustained Low Productivity Growth – Panel 4

Jason Furman / Larry Summers

Peterson Institute for International Economics

November 2017

https://piie.com/events/policy-implications-sustained-low-productivity-growth

Presentation by jason Furman

https://piie.com/system/files/documents/4-1furman20171109ppt.pdf

Paper by Jason Furman – published June 2018

https://piie.com/system/files/documents/wp18-4.pdf

Panel 4 Video:

 

Water | Food | Energy | Nexus: Mega Trends and Scenarios for the Future

Water | Food | Energy | Nexus: Mega Trends and Scenarios for the Future

 

 

From http://www.unwater.org/water-facts/water-food-and-energy/

Facts and Figures

  • Agriculture accounts for 70% of global water withdrawal. (FAO)
  • Roughly 75% of all industrial water withdrawals are used for energy production. (UNESCO, 2014)
  • The food production and supply chain accounts for about 30% of total global energy consumption. (UNESCO, 2012)
  • 90% of global power generation is water-intensive. (UNESCO, 2014)
  • Global water demand (in terms of water withdrawals) is projected to increase by 55% by 2050, mainly because of growing demands from manufacturing (400% increase). More than 40% of the global population is projected to be living in areas of severe water stress by 2050. (UNESCO, 2014)
  • Power plant cooling is responsible for 43% of total freshwater withdrawals in Europe (more than 50% in several countries), nearly 50% in the United States of America, and more than 10% of the national water cap in China. (UNESCO, 2014)
  • By 2035, water withdrawals for energy production could increase by 20% and consumption by 85%, driven via a shift towards higher efficiency power plants with more advanced cooling systems (that reduce water withdrawals but increase consumption) and increased production of biofuel. (UNESCO, 2014)
  • There is clear evidence that groundwater supplies are diminishing, with an estimated 20% of the world’s aquifers being over-exploited, some critically so. Deterioration of wetlands worldwide is reducing the capacity of ecosystems to purify water. (UNESCO, 2014)
  • It typically takes 3,000 – 5,000 litres of water to produce 1 kg of rice, 2,000 litres for 1kg of soya, 900 litres for 1kg of wheat and 500 litres for 1kg of potatoes. (WWF).
  • While almost 800 million people are currently hungry, by 2050 global food production would need to increase by 50% to feed the more than 9 billion people projected who live on our planet (FAO/IFAD/UNICEF/WFP/WHO, 2017).

 

From Background paper for the Bonn 2011 Nexus Conference: THE WATER, ENERGY AND FOOD SECURITY NEXUS

 

nexus2

 

 

From How Shell, Chevron and Coke tackle the energy-water-food nexus

We know how important food, water and energy are to our daily lives, but what happens when we fail to value them as critical, interconnected resources for our economy?

In the summer of 2012, the U.S. was affected by one of the worst droughts in recent decades. Eighty percent of U.S. farms and ranches were affected, crop losses exceeded $20 billion and unforeseen ripple effects followed.

With corn crops withering from the lack of rainfall, prices for food and livestock feed supplies rose, as did ethanol, predominantly sourced from corn. Numerous power plants had to scale back operations or even shut down because the water temperatures of many rivers, lakes and estuaries had increased to the point where they could not be used for cooling. Household, municipal and farm wells in the Midwest had to be extended deeper into rapidly depleting aquifers to make up for the lack of rainfall, draining groundwater supplies and demanding more electricity to run the pumps. It is estimated that consumers will feel these ripple effects for years to come — over the next year alone, this impact could result in personal costs up to $50 billion.

Now more than ever, our infrastructure is built on an interlinked system for the production and use of energy, water and food. Water is needed for almost all forms of energy production and power generation, energy is required to treat and transport water, and both water and energy are needed to produce food.

This interconnection, or energy-water-food nexus, underscores the global challenges that we face as a society. The growing global population, increased wealth and urbanization will continue to stress energy, water and food supplies. Climate change and unsustainable development practices will exacerbate them. In preparing for a population that could top 10 billion by 2050, according to U.N. estimates, in the next 15 to 20 years alone we will need 30 percent more water, 45 percent more energy and 50 percent more food.

Consvation International’s Business & Sustainability Council (PDF) examined the corporate risk and opportunities related to the energy-water-food nexus. The nexus is still new in the minds of many corporations, but CI sees several examples of companies broadening their strategies to build synergistic solutions.

Shell shines the spotlight on the pressures from the energy-water-food stress nexus in its 2013 report, “The New Lens Scenario.” The company is using scenario planning to test and collaborate on the design of synergistic solutions to tackle these interlinked resource constraints. In British Columbia, Shell collaborated with the city of Dawson Creek to build a reclaimed water facility that virtually eliminated its need to draw on local freshwater sources for the operation of a natural gas venture. It also worked with the World Business Council for Sustainable Development and the University of Utrecht to develop a new methodology that could more accurately estimate the amount of water needed to generate energy from different sources — oil, gas, coal, nuclear and biofuels — using different technologies and in different locations.

In Kern County, about 100 miles from Los Angeles and home to Chevron’s largest California oil field, Chevron partnered with the Cawelo Water District to provide much needed water to local farmers for agricultural use. Water is a significant byproduct from steam flooding, a technology employed to extract thick, viscous oil out of the ground. For every barrel of oil, 10 barrels of water are produced, about 700,000 gallons per day. Chevron reclaims about one-third to generate new steam, and provides most of the remaining treated water to the Cawelo Water District to distribute to 160 farmers to irrigate 45,000 acres of crops, such as almonds, grapes, pistachios and citrus. This innovative solution is critical to creating a more sustainable local water supply and helping Kern County growers keep agriculture thriving in the region.

Since 2005, The Coca-Cola Company has set an ambitious water security commitment for its beverages and operations. In order to meet its goal, it implemented a series of technical and natural solutions in nearly 400 community water projects in more than 90 countries. These community water partnerships include rainwater harvesting, drip irrigation, agricultural water efficiency improvements and protecting watersheds. The company has taken an even broader perspective, enhancing the ability of watersheds to absorb threats associated with the uncertainties around climate change, and increased demands for water, energy and food from a burgeoning population.

Ensuring energy, water and food security on a global level requires equal consideration of the interdependency among all three systems and the underlying natural capital that supports them.

CI believes that addressing the stress nexus requires collaboration among government, business and civil society. Public-private partnerships offer an innovative way to leverage expertise and financing in order to pilot practical, scalable and collaborative solutions. The Sustainable Landscape Partnership being piloted in Indonesia with support from CI, USAID and the Walton Family Foundation looks to understand integrated approaches to build local economies while reducing deforestation and ensuring food and water security.

Lack of data specific to the nexus is currently a limiting factor in building solutions. Improved frameworks to price natural resources such as water will be critical — one reason CI is engaged with WAVES and the TEEB for Business Coalition. CI is also piloting a game-changing monitoring system called Vital Signs in Africa to provide near real-time ecological and social data and diagnostic tools to guide agricultural development decisions and monitor their outcomes. As we continue to pilot models that demonstrate resiliency of landscapes, open platforms for information sharing will generate innovations and efficiencies.

Combined together, this integrated approach will be critical to fully understanding where critical nexus interactions lie, where they are most susceptible and how we can meaningfully make better decisions, for this generation and the next.

 

Please see my related post:

Jay W. Forrester and System Dynamics

Art of Long View: Future, Uncertainty and Scenario Planning

 

 

Key Sources of Research:

 

 

World Water Development Report 2014

UN Water

http://www.unwater.org/publications/world-water-development-report-2014-water-energy/

 

Nexus in the Media

 

https://www.water-energy-food.org/news/media/recent/34/

 

 

Tools and Databases

 

https://www.water-energy-food.org/resources/tools-and-databases/

 

 

 

The Energy-Water-Food Nexus: The Emerging Challenge to Sustainable Prosperity

Forbes

2012

https://www.forbes.com/sites/francisvorhies/2012/09/09/the-energy-water-food-nexus-the-emerging-challenge-to-sustainable-prosperity/#361c315557bd

 

 

 

The Food, Water, Energy Nexus

Published on Thursday, 20 March 2014

 

Asian Development Bank

https://blogs.adb.org/blog/food-water-energy-nexus

 

 

 

How Shell, Chevron and Coke tackle the energy-water-food nexus

https://www.greenbiz.com/blog/2013/10/30/shell-chevron-coke-energy-water-food-nexus

 

 

 

 

Understanding the Stress Nexus

Shell International

http://s06.static-shell.com/content/dam/shell-new/local/country/mex/downloads/pdf/stress-nexus-booklet.pdf

 

 

 

The Energy | Water | Food Nexus

Conservation International

https://www.conservation.org/publications/Documents/BSC_Resources_vol2.pdf

 

 

 

Energy-water-food stress nexus

Royal Geographical Society

Energy-water-food stress nexus

 

 

 

A review of the current state of research on the water, energy, and food nexus

 

2016

https://www.sciencedirect.com/science/article/pii/S2214581815001251

https://ac.els-cdn.com/S2214581815001251/1-s2.0-S2214581815001251-main.pdf?_tid=08fc48aa-5ee7-4cc9-9858-084df130706e&acdnat=1524697246_c516ec9ea24d602062e2cb262cfbc493

 

 

 

The Water–Energy–Food Security Nexus: Towards a practical planning and decision-support framework for landscape investment and risk management

 

Livia Bizikova
Dimple Roy
Darren Swanson
Henry David Venema
Matthew McCandless

IISD

2013

https://www.iisd.org/sites/default/files/publications/wef_nexus_2013.pdf

 

 

 

 

Tracing the water-energy-food nexus: description, theory and practice.

Leck, Hayley, Conway, Declan, Bradshaw, Michael and Rees, Judith A.

(2015)

Geography Compass, 9 (8). pp. 445-460. ISSN 1749-8198

http://eprints.lse.ac.uk/63385/1/Water_energy_food.pdf

 

 

 

BRIDGING THE WATER AND FOOD GAP: THE ROLE OF THE
WATER-ENERGY-FOOD NEXUS

RABI H. MOHTAR,
AMJAD T. ASSI,
BASSEL T. DAHER

United Nations University

http://collections.unu.edu/eserv/UNU:3235/WorkingPapers_No5.pdf

 

 

 

Tools for analyzing the water-food-energy-ecosystems nexus

Compiled for UNECE by the Energy Systems Analysis group of the Royal Institute of Technology (KTH), Stockholm

September 2015

 

https://www.unece.org/fileadmin/DAM/env/water/nexus/Nexus_tools_final_for_web.pdf

 

 

 

 

Energy -Water-Food Nexus

D.L. Keairns, R.C. Darton, and A. Irabien

 

https://www.researchgate.net/publication/299485820_Energy_-Water-Food_Nexus

 

 

 

 

Understanding the Energy-Water Nexus

Matthew Halstead
Tom Kober
Bob van der Zwaan

September 2014

 

https://www.ecn.nl/docs/library/report/2014/e14046.pdf

 

 

 

 

“Towards sustainable synergy between water, energy and food”

 

https://www.ief.org/_resources/files/events/1st-conference-on-the-water-energy-food-nexus-in-the-gcc-between-saudi-arabia-and-the-netherlands/agenda-and-backgrounds.pdf

 

 

 

 

WATER-ENERGY-FOOD NEXUS FOR THE REVIEW OF SDG 7

UN

2018

https://sustainabledevelopment.un.org/content/documents/17483PB_9_Draft.pdf

 

 

 

 

GOVERNANCE IN THE WATER-ENERGY-FOOD NEXUS:
GAPS AND FUTURE RESEARCH NEEDS

Nina Weitz, Claudia Strambo, Eric Kemp-Benedict, Måns Nilsson

SEI

2017

http://aquadoc.typepad.com/files/sei-2017-wp-nexus-governance-weitz-1.pdf

 

 

 

 

Water, Food and Energy

UN

http://www.unwater.org/water-facts/water-food-and-energy/

 

 

 

WATER, FOOD AND ENERGY NEXUS CHALLENGES

 

WBCSD

https://www.gwp.org/globalassets/global/toolbox/references/water-food-and-energy-nexus-challenges-wbcsd-2014.pdf

 

 

 

 

A bottom-up approach to the nexus of energy, food and water security in the Economic Community of West African States (ECOWAS) region

Prof. Subhes Bhattacharyya
Mr. Nicola Bugatti
Mr. Hannes Bauer

2015

http://www.thenexusnetwork.org/wp-content/uploads/2014/08/Bhattacharyya-thinkpiece_2015.pdf

 

 

 

Understanding the Nexus. Background Paper for the Bonn2011
Conference: The Water, Energy and Food Security Nexus.

Hoff, H.

(2011).

Stockholm Environment Institute, Stockholm.

http://wef-conference.gwsp.org/fileadmin/documents_news/understanding_the_nexus.pdf

 

 

 

Anatomy of a buzzword: the emergence of ‘the
water-energy-food nexus’ in UK natural resource debates

Rose Cairns

Anna Krzywoszynska*

2016

http://eprints.whiterose.ac.uk/103186/1/EnvScPol%20AK%20RC%20nexus.pdf

 

 

 

Understanding the Nexus of Food, Water, and Energy

AT Kearney

http://www.atkearney.com.au/documents/10192/424058/Understanding_the_Nexus_of_Food-Water-and_Energy.pdf/04e49895-077c-4c86-8981-77aa287cb34c

 

 

 

 

A quick scan

Water-food-energy nexus

Stijn Reinhard, Jan Verhagen, Wouter Wolters and Ruerd Ruben

 

https://www.wur.nl/upload_mm/1/6/f/6bec946b-792c-469b-ba07-5eec5c04b563_2017-096%20Reinhard_def.pdf

 

 

 

The Circular Economy and the Water-Energy-Food Nexus

2015

http://www.diss.fu-berlin.de/docs/servlets/MCRFileNodeServlet/FUDOCS_derivate_000000005078/pp715-water-energy-food-nexus.pdf

 

 

 

The global food – water – energy nexus

Rabobank

https://www.rabobank.com/nl/images/20161121-Report_Rabobank.pdf

 

 

 

 

Water Food Energy Climate Nexus

World Economic Forum

2011

http://www3.weforum.org/docs/WEF_WI_WaterSecurity_WaterFoodEnergyClimateNexus_2011.pdf

 

 

 

Development of Pardee Rand Water Energy Food Security Index

RAND

 

https://www.rand.org/content/dam/rand/pubs/tools/TL100/TL165/RAND_TL165.pdf

 

 

 

 

Review of the Current State of Research on the Water, Energy, and
Food Nexus

by
Aiko Endo, Izumi Tsurita, Kimberly Burnett,
And Pedcris M. Orencio

http://uhero.hawaii.edu/assets/WP_2016-7.pdf

 

 

Mitigating Risks and Vulnerabilities in the Energy-Food-Water Nexus in Developing Countries

Sustainability Institute

2015

https://assets.publishing.service.gov.uk/media/57a08972e5274a27b20000ad/61478_EFW-Nexus-final-report-Hyperlinked.pdf

 

 

CARBOHYDRATES, H2O, AND HYDROCARBONS:
GRAIN SUPPLY SECURITY AND THE FOOD-WATERENERGY
NEXUS IN THE ARABIAN GULF REGION

Gabriel Collins, J.D.
Baker Botts Fellow in Energy & Environmental Regulatory Affairs
June 2017

 

https://www.bakerinstitute.org/media/files/files/96136d13/CES-pub-QLC_Nexus-061317.pdf

 

 

 

Managing the food,water,and energy nexus for achieving the
Sustainable Development Goals in South Asia

Golam Rasul

2015

http://www.pmf.unizg.hr/_download/repository/Managing_the_food%2Cwater%2Cand_energy_nexus_for_achieving_the….pdf

 

 

 

The Water-Energy Nexus and Urban Metabolism – Connections in Cities

Steven Kenway

January 2013

http://www.urbanwateralliance.org.au/publications/UWSRA-tr100.pdf

 

 

Thinking about Water Differently
Managing the Water–Food–Energy Nexus

ADB

2013

http://waterfootprint.org/media/downloads/ADB-2013-Thinking-about-water-differently_1.pdf

 

 

 

Walking the Nexus Talk:
Assessing the Water-Energy-Food Nexus
in the Context of the Sustainable Energy for All Initiative

FAO

http://wedocs.unep.org/bitstream/handle/20.500.11822/19556/Walking_the_Nexus_Talk.pdf?sequence=1

 

 

 

 

The 15 projects that will take on the food-water-energy nexus

https://jpi-urbaneurope.eu/news/the-15-projects-that-will-take-on-the-food-water-energy-nexus/

 

 

 

WATER-FOOD-ENERGY NEXUS IN ASIA AND THE PACIFIC

UNESCAP

http://www.unescap.org/sites/default/files/Water-Food-Nexus%20Report.pdf

 

 

 

Food, Water and Energy Nexus in India

 

http://www.un.org/en/ga/second/66/docs/modi.pdf

 

 

 

The Food-Energy-Water Nexus

(GEO/NRSM 595)

University of Montana

https://www.umt.edu/bridges/training/Syllabi/Core%20Course%2017.pdf

 

 

 

Water–food–energy nexus with changing agricultural scenarios in
India during recent decades

Beas Barik1, Subimal Ghosh1,2, A. Saheer Sahana1, Amey Pathak1, and Muddu Sekhar

2017

https://www.hydrol-earth-syst-sci.net/21/3041/2017/hess-21-3041-2017.pdf

 

 

 

 

The Energy–Water–Food Nexus at Decentralized Scales

Lucy Stevens and Mary Gallagher, Practical Action, UK

http://www.idaea.csic.es/medspring/sites/default/files/PPEBP3%2BONLINE.pdf

 

 

 

 

Making governance work for water–energy–food nexus approaches

By Andrew Scott

 

https://cdkn.org/wp-content/uploads/2017/06/Working-paper_CDKN_Making-governance-work-for-water-energy-food-nexus-approaches.pdf

 

 

 

Food, Water and Energy: Know the Nexus

 

http://waternexussolutions.org/gracelinks.org/media/pdf/knowthenexus_final_051513.pdf

 

 

 

 

Global Trends 2030: Alternative Worlds
a publication of the National Intelligence Council

DNI USA

2013

https://www.dni.gov/files/documents/GlobalTrends_2030.pdf

 

 

 

GLOBAL TRENDS

PARADOX OF PROGRESS
A publication of the National Intelligence Council

2017

https://www.dni.gov/files/documents/nic/GT-Full-Report.pdf

 

 

 

Global Trends

DNI

https://www.dni.gov/index.php/global-trends-home

https://www.dni.gov/index.php/digital-extras/previous-reports

 

 

 

Understanding Water- Energy-
Food Nexus from Mountain Perspective

David Molden, Aditi Mukherji, Golam Rasul, Arun Shrestha,
Ramesh Vaidya, Shahriar M. Wahid and Philippus Wester

http://wef-conference.gwsp.org/uploads/media/C06_Golam.pdf

 

 

 

Regulating the water-energy-food nexus: Interdependencies, transaction costs and procedural justice

 

https://www.sciencedirect.com/science/article/pii/S1462901117300540

 

 

 

Innovating at the food, water, and energy interface

https://cloudfront.escholarship.org/dist/prd/content/qt7k96k7wf/qt7k96k7wf.pdf

 

 

 

The Water-Energy-Food Nexus. A New Approach in Support of Food Security and Sustainable Agriculture

FAO

http://www.fao.org/policy-support/resources/resources-details/en/c/421718/

Stock Flow Consistent Input Output Models (SFCIO)

Stock Flow Consistent Input Output Models (SFCIO)

 

SFCIO  = SFC + IO Models

SFC = Stock Flow Consistent

IO = Input Output

Stock Flow Consistent Input Output Models (SFCIO)

 

Integrating Varieties of Modeling Methods

  • Monetary Input Output Models
  • Physical Input Output Models
  • Stock Flow Consistent Models
  • System Dynamics Models

 

For integrating:

  • Physical Flows (Resources and Products)
  • Monetary Flows

 

 

From Ecological Macroeconomic Models: Assessing Current Developments

 

0

 

 

From A stock-flow-fund ecological macroeconomic model

ecology13

 

 

From Stock-Flow Consistent Input–Output Models as a Bridge
Between Post-Keynesian and Ecological Economics

One effort to explicitly represent the dynamics of debt, finance, and other monetary factors has been the post-Keynesian stock-flow consistent (SFC) approach. At the same time, input–output (IO) models have been widely used to investigate sectoral interdependencies within the real economy, while environmentally extended input–output models have been used to analyze the relationship between the economy and ecological subsystems. However, the role of monetary dynamics has been left relatively unexplored in IO models (Caiani et al., 2014). This paper proposes a synthesis of elements from both SFC and IO models with insights from ecological economics to provide an avenue for investigating the interrelations between the monetary economy and the physical environment.

 

From Stock-Flow Consistent Input–Output Models as a Bridge
Between Post-Keynesian and Ecological Economics

By combining SFC models and IO models, financial flows of funds can be integrated with flows of real goods and services. Lawrence Klein, who developed large scale macroeconomic models typified by the FRB-MIT-Penn model, has noted the natural synergies between the National Income and Product accounts, the IO accounts, and the FF accounts (Klein, 2003). The approach of combining both SFC and IO models with ecological macroeconomics affords one method to unite those accounts, as suggested by Klein, and to simultaneously model monetary flows through the financial system, flows of produced goods and services through the real economy, and flows of physical materials through the natural environment. Models of this type may provide additional tools to aid macro economists, ecological economists, and physicists in the task of understanding the economy and the physical environment as one united and complexly interrelated system, rather than as a colloidal agglomeration of artificially separated analytical domains. These modes of analysis are required to study pressing problems such as climate change, which are neither purely economic, nor purely environmental, nor purely physical, but rather are all of the above (Rezai et al., 2013).

 

 

Please see my related posts:

Accounting For Global Carbon Emission Chains

Stock Flow Consistent Models for Ecological Economics

 

 

 

Key Sources of Research:

 

A stock-flow consistent input–output model with applications to
energy price shocks, interest rates, and heat emissions

Matthew Berg1, Brian Hartley2 and Oliver Richters3

2015

http://iopscience.iop.org/article/10.1088/1367-2630/17/1/015011/pdf

Stock-Flow Consistent Input–Output Models as a Bridge
Between Post-Keynesian and Ecological Economics

 

Matthew Berg (The New School for Social Research)
Brian Hartley (The New School for Social Research)
Oliver Richters (International Economics, Oldenburg University)

October 7, 2015

https://www.boeckler.de/pdf/v_2015_10_23_richters.pdf

 

 

 

Integrating Energy Use into Macroeconomic Stock-Flow Consistent Models

Presented by
Oliver Richters

2015

https://www.econstor.eu/bitstream/10419/154764/1/richters-integrating-energy-use-sfc-models-2015.pdf

 

 

 

The role of money and the financial sector in energy-economy models used for assessing climate and energy policy,

Hector Pollitt & Jean-Francois Mercure

(2018)

Climate Policy, 18:2, 184-197

 

https://www.tandfonline.com/doi/pdf/10.1080/14693062.2016.1277685?needAccess=true

 

 

Ecological Macroeconomic Models: Assessing Current Developments

Lukas Hardt a,⁎, Daniel W. O’Neill

2017

 

https://ac.els-cdn.com/S0921800916303202/1-s2.0-S0921800916303202-main.pdf?_tid=4fe094ea-f4d6-4a7e-b7d6-230d3cce6c0e&acdnat=1522699485_1c1d93cd6adda3a829d89b5c8e841d13

 

Ecological macroeconomics: Introduction and review

2016

 

https://ac.els-cdn.com/S0921800915004747/1-s2.0-S0921800915004747-main.pdf?_tid=0cda7488-5f2d-4edf-966e-5b23cb7d43cd&acdnat=1522699625_aaa0756d02319c5ab25e0c1f1d8bf3f1

 

 

 

A stock-flow-fund ecological macroeconomic model

Yannis Dafermos a,⁎, Maria Nikolaidi b, Giorgos Galanis c

2016

 

https://ac.els-cdn.com/S0921800916301343/1-s2.0-S0921800916301343-main.pdf?_tid=932bb9db-d514-47b7-9be4-f345250b3f0d&acdnat=1522699759_7d965a332aad8ec5596fc4b34f22e6ec

 

 

 

Potential Consequences on the Economy of Low or No Growth – Short and Long Term Perspectives

J. Mikael Malmaeus a,⁎, Eva C. Alfredsson

 

https://ac.els-cdn.com/S0921800916300477/1-s2.0-S0921800916300477-main.pdf?_tid=6f5c6223-3f20-4d88-af15-ed8d18eff17a&acdnat=1522699926_1793a74188ac6b373bc1aec837514b30

 

 

Growth, Distribution, and the Environment in a Stock-Flow Consistent Framework∗

Asjad Naqvi†

February 6, 2015

http://epub.wu.ac.at/4468/1/EcolEcon_WorkingPaper_2015_2.pdf

 

 

 

Foundations for an Ecological Macroeconomics: literature review and model development

Tim Jackson, Ben Drake (SURREY), Peter Victor (York University), Kurt Kratena, Mark Sommer (WIFO)

https://www.econstor.eu/bitstream/10419/125724/1/WWWforEurope_WPS_no065_MS38.pdf

 

 

 

Towards a Stock-Flow Consistent Ecological Macroeconomics

Authors: Tim Jackson (SURREY), Peter Victor (York University), Ali Asjad Naqvi (WU)

March 2016

https://www.econstor.eu/bitstream/10419/146611/1/856194174.pdf

http://epub.wu.ac.at/5012/1/WWWforEurope_WPS_no114_MS40.pdf

 

Consistency and Stability Analysis of Models of a Monetary Growth Imperative

Oliver Richtersa, Andreas Siemoneitb

a Department of Economics, Carl von Ossietzky University Oldenburg, http://www.oliver-richters.de
b Berlin, http://www.ezienzkritik.de

https://www.econstor.eu/bitstream/10419/144750/1/863731139.pdf

 

Credit Chains and Production Networks

Credit Chains and Production Networks

There are three kind of flows in a Supply Chain

  • Goods
  • Information
  • Financial

 

Credit Terms in a Supplier Buyer contracts determine payment delays which accumulate in current accounts of a Firm.

  • Account Receivables
  • Account Payables

 

Credit Relations

  • Bank to Bank
  • Bank to Firm
  • Firm to Firm

Dyad of Credit Relations

  • Supplier – Buyer

 

Triad of Credit Relations

  • Supplier – Bank – Buyer

Sources of Systemic Risk

  • Failure of a Firm and its impact on Suppliers and Customers (Flow of Goods)
  • Failure of a Bank and its impact on Trade Credit
  • Credit Contraction due to de-risking by the Banks
  • Decline in Correspondent Banking relations and its impact on Trade Finance

 

From Credit Chains and Sectoral Co-movement: Does the Use of Trade
Credit Amplify Sectoral Shocks?

Trade credit is an important source of short-term financing for firms, not only in the U.S., as documented by Petersen and Rajan (1997), but also around the World. For instance, accounts payables are larger than short-term debt in 60 percent of the countries covered by Worldscope. Also, across the world most firms simultaneously receive credit from their suppliers and grant it to their customers, which tend to be concentrated on specific sectors.  These characteristics of trade credit financing have led some authors to propose it as a mechanism for the propagation and amplification of idiosyncratic shocks. The intuition behind the mechanism is straightforward; a firm that faces a default by its customers may run into liquidity problems that force it to default to its own suppliers. Therefore, in a network of firms that borrow from each other, a temporary shock to the liquidity of some firms may cause a chain reaction in which other firms also get in financial difficulties, thus resulting in a large and persistent decline in aggregate activity. This idea was first formalized by Kiyotaki and Moore (1997) in a partial equilibrium setting, and has been recently extended to a general equilibrium environment by Cardoso-Lecourtois (2004), and Boissay (2006) who have also provided evidence of the potential quantitative importance of the mechanism by calibrating their models to the cases of Mexico and the U.S., respectively.

From Ontology of Bankruptcy Diffusion through Trade Credit
Channel

A supply network is a network of entities interacting to transform raw material into finished product for customers. Since interdependencies among supply network members on material, information, and finance are becoming increasingly intensive, financial status of one firm not only depends on its own management, but also on the performance and behaviours of other members. Therefore, understanding the financial flows variability and the material interactions is a key to quantify the risk of a firm. Due to the complex structure and dynamic interactions of modern supply networks, there are some difficulties faced by pure analysis approaches in analyzing financial status of the supply network members and the high degree of nonlinear interactions between them. Mathematical and operation research models usually do not function very well for this kind of financial decision making. These models always start with many assumptions and have difficulties modeling such complex systems that include many entities, relationships, features, parameters, and constraints. In addition, traditional modeling and analysis tools lack the ability to predict the impact of a specific event on the performance of the entire supply network.  Current financial data analysis with large volumes of structure data cannot offer the full picture and intrinsic insights into the risk nature of a company. Motivated by the literature gap in risk monitoring in investment background and limitations of analysis approaches for handling bankruptcy contagion phenomenon, we propose an ontological approach to present a formal, shared conceptualization of this domain knowledge.

From Inter-Firm Trade Finance in Times of Crisis

The severe recession that is hitting the global economy, with very low or even negative growth rates, has caused widespread contractions in international trade, both in developed and developing countries. World Trade Organization (WTO) has forecast that exports will decline by roughly 9% in volume terms in 2009 due to the collapse in global demand brought on by the biggest economic downturn in decades. The contraction in developed countries will be particularly severe with exports falling by 10%. In developing countries, which account for one-third of world trade, exports will shrink by some 2% to 3% in 2009.

The contraction in international trade has been accompanied by a sharp decline in the availability of trade finance. This decline is only partly explained by the contraction in demand: according to a BAFT (Banker’s Association for Trade and Finance) and International Monetary Fund (IMF) joint survey (2009), flows of trade finance to developed countries have fallen by 6% relative to the previous year, more than the reduction in trade flows, suggesting that part of the fall reflects a disruption of financial intermediation. The contraction in value of trade finance has also been accompanied by a sharp increase in its price. Fear that the decline in trade finance and the increase in its cost would accelerate the slowdown of world trade has triggered a number of government initiatives in support of trade finance (Chauffour and Farole,2009).

The situation is especially worrisome for firms operating in developing countries which rely heavily on trade finance to support both their exports and imports.1 With a restricted access to financing and an increased cost of financing, these firms may find difficulties in maintaining their production and trade activities.

 

Please see my related posts:

Supply Chain Finance (SCF) / Financial Supply Chain Management (F-SCM)

Production Chain Length and Boundary Crossings in Global Value Chains

Intra Industry Trade and International Production and Distribution Networks

Understanding Trade in Intermediate Goods

Trends in Intra Firm Trade of USA

Production and Distribution Planning : Strategic, Global, and Integrated

Development of Global Trade and Production Accounts: UN SEIGA Initiative

The Dollar Shortage, Again! in International Wholesale Money Markets

FDI vs Outsourcing: Extending Boundaries or Extending Network Chains of Firms

The Collapse of Global Trade during Global Financial Crisis of 2008-2009

Understanding Global Value Chains – G20/OECD/WB Initiative

Economics of Trade Finance

Balance Sheets, Financial Interconnectedness, and Financial Stability – G20 Data Gaps Initiative

Oscillations and Amplifications in Demand-Supply Network Chains

Contagion in Financial (Balance sheets) Networks

 

Key Sources of Research:

 

LIQUIDITY, BUSINESS CYCLES, AND MONETARY POLICY

Nobuhiro Kiyotaki
London School of Economics

John Moore
Edinburgh University and London School of Economics

27 November 2001

https://www.imf.org/external/np/seminars/eng/2008/fincycl/pdf/kimo.pdf

 

 

Credit Cycles

Nobuhiro Kiyotaki; John Moore

The Journal of Political Economy, Vol. 105, No. 2.

(Apr., 1997),

http://www.nviegi.net/teaching/master/km.pdf

 

Credit chains

Nobuhiro Kiyotaki (Princeton University)

John Moore (University of Edinburgh)

Date January 1997

http://www.econ.ed.ac.uk/papers/id118_esedps.pdf

https://www.minneapolisfed.org/research/conferences/research-events—conferences-and-programs/~/media/files/research/events/1997_01-31/Kiyotaki_CreditChains.pdf

 

 

Credit and Business Cycles

N Kiyotaki

1998

https://www.princeton.edu/~kiyotaki/papers/Credit-and-BusinessCycles.pdf

 

 

Inter-Enterprise Credit and Adjustment  During Financial Crises: The Role of Firm Size

Fabrizio Coricelli

Marco Frigerio

July, 2 2016

https://cepr.org/sites/default/files/Coricelli%2C%20Fabrizio%20paper.pdf

 

 

Credit chains and bankruptcy propagation in production networks

Stefano Battiston, Domenico Delli Gatti, Mauro Gallegati,
Bruce Greenwald, Joseph E. Stiglitz

2007

https://www8.gsb.columbia.edu/faculty/jstiglitz/sites/jstiglitz/files/2007_Credit_Chains.pdf

 

 

Trade Finance in Crisis : Market Adjustment or Market Failure ?

Jean-Pierre Chauffour

Thomas Farole

Date Written: July 1, 2009

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1437955

Resaleable debt and systemic risk

Jason Roderick Donaldson , Eva Micheler

2018

http://www.jrdonaldson.com/Papers/Donaldson-Micheler-Resaleable_Debt.pdf

 

Supply chains and credit-market shocks: Some implications for emerging markets,

Jinjarak, Yothin (2013)

ADBI Working Paper Series, No. 443

https://www.econstor.eu/bitstream/10419/101241/1/770887406.pdf

 

 

Financial Amplification Mechanisms and the Federal Reserve’s Supply of Liquidity during the Crisis

Asani Sarkar
Jeffrey Shrader

Staff Report no. 431
February 2010

https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr431.pdf

 

 

Aggregate Fluctuations and the Role of Trade Credit

Lin Shao

2017

https://www.bankofcanada.ca/wp-content/uploads/2017/09/swp2017-37.pdf

 

 

Supply Chain Disruptions and Trade Credit

LU Yi OGURA Yoshiaki

TODO Yasuyuki ZHU Lianming

2017

https://www.rieti.go.jp/jp/publications/dp/17e054.pdf

 

 

Credit Shocks and Aggregate Fluctuations in  an Economy with Production Heterogeneity

Aubhik Khan

Julia K. Thomas

September 2013

https://www.aubhik-khan.net/KhanThomasDCTsept2013.pdf

 

 

Financial Frictions in Production Networks

Saki Bigio

Jennifer La’O

February 7, 2013

https://www0.gsb.columbia.edu/faculty/sbigio/papers/FinancialFrictionsNetworks.pdf

 

Working Paper No. 67, April 2016

http://perueconomics.org/wp-content/uploads/2014/01/WP-67.pdf

 

 

The Origins of Aggregate Fluctuations in a Credit Network Economy

Levent Altinoglu

October 16, 2016
http://blogs.bu.edu/levent/files/2015/10/Altinoglu_JMP_CurrentVersion.pdf

September 30, 2015

https://pdfs.semanticscholar.org/425a/fcb800d01a5b8dce9ed13a4a200bf51f6fed.pdf

 

Consolidated Bibliography

WTO

https://www.wto.org/english/res_e/booksp_e/aid4tradesupplychain13_biblio_e.pdf

 

 

Propagation of Financial Shocks in an Input-Output Economy with Trade and Financial Linkages of Firms

Shaowen Luo

December 4, 2015

http://www.economics.illinois.edu/seminars/documents/Luo.pdf

 

FDI, Trade Credit, and Transmission of Global Liquidity Shocks:
Evidence from Chinese Manufacturing Firms

Shu Lin and Haichun Ye

http://www.econ.cuhk.edu.hk/econ/images/content/news_event/seminars/2016-2017-2nd-semester/Lin–Ye_paper.pdf

 

 

Trade Credit, Financing Structure and Growth

Junjie Xia

October 27, 2016

http://www.junjiexia.com/uploads/7/6/7/2/76726065/jmp_oct16.pdf

 

The impact of corporate distress along the supply chain: evidences from United
States

Lucia Gibilaro

Gianluca Mattarocci

http://www.efmaefm.org/0EFMAMEETINGS/EFMA%20ANNUAL%20MEETINGS/2017-Athens/papers/EFMA2017_0526_fullpaper.pdf

 

 

Does credit crunch investments down?
New evidence on the real eects of the bank-lending channel

Federico Cinganoz Francesco Manaresix Enrico Settex

December 2013

http://www.federicocingano.eu/Credit_crunch_investments.pdf

 

Interwoven Lending, Uncertainty, and Liquidity Hoarding

Adam Zawadowski

December 13, 2017

http://www.personal.ceu.hu/staff/Adam_Zawadowski/papers/credit.pdf

 

 

Trade credit: Elusive insurance of rm growth

DENNIS BAMS, JAAP BOS and MAGDALENA PISA*

October 5, 2016

http://www.research.mbs.ac.uk/accounting-finance/Portals/0/Users/002/02/2/Trade%20credit%20Elusive%20insurance%20of%20firm%20growth%202016.pdf

 

 

Chain Reactions, Trade Credit and the Business Cycle

Miguel Cardoso-Lecourtois

http://fmwww.bc.edu/RePEc/esNASM04/up.4593.1075462930.pdf

 

From production networks to geographical economics.

Gérard Weisbuch, Stefano Battiston.

Journal ofEconomic Behavior and Organization, Elsevier, 2007, 64 (3- 4), pp.448

https://hal.archives-ouvertes.fr/hal-00531863/document

 

 

Production networks and failure avalanches

Gerard Weisbuch
Stefano Battiston

March 5, 2018

https://arxiv.org/pdf/physics/0507101.pdf

 

 

Self-organised patterns in production networks

Gerard Weisbuch

October 10, 2005

http://www.lps.ens.fr/~weisbuch/gwcomplexus.pdf

 

 

Networks : Propagation of Shocks over Economic Networks

Daron Acemoglu

July 22, 2014.

https://economics.mit.edu/files/9790

 

 

Debt-Rank Analysis of Financial Distress Propagation on a Production Network in Japan

FUJIWARA Yoshi
University of Hyogo
TERAI Masaaki
RIKEN
FUJITA Yuji
Turnstone Research Institute, Inc.
SOUMA Wataru
Nihon University

https://www.rieti.go.jp/jp/publications/dp/16e046.pdf

 

 

Operational causes of bankruptcy propagation in supply chain

Zhongsheng Hua ⁎, Yanhong Sun 1, Xiaoyan Xu

2011

http://isiarticles.com/bundles/Article/pre/pdf/48280.pdf

 

 

Propagation of Financial Shocks in an Input-Output Economy with Trade and Financial Linkages of Firms

Shaowen Luo
September 20, 2015

http://www.econ.vt.edu/seminars/Seminar%20Papers/2016/10-02-15Luo.pdf

 

 

From Micro to Macro via Production Networks

Vasco M. Carvalho

http://www.crei.cat/wp-content/uploads/users/working-papers/carvalho_from_micro.pdf

 

 

Trade Credit and the  Propagation of Corporate Failure: An Empirical
Analysis

Tor Jacobson and Erik von Schedvin
August 2012

https://www.econstor.eu/bitstream/10419/81882/1/723939764.pdf

 

CREDIT MARKET DISRUPTIONS AND LIQUIDITY SPILLOVER EFFECTS IN THE SUPPLY CHAIN

Anna M. Costello

August 8, 2017

https://www.gsb.stanford.edu/sites/gsb/files/costello-anna-acctgcamp2017_0.pdf

 

Modeling defaults of companies in multi-stage supply chain networks

Kamil J.Mizgier, StephanM.Wagner,, JanuszA.Holyst

2010

http://mars.if.pw.edu.pl/~jholyst/Mizgier_etal_InPress_Modeling_defaults_of.pdf

 

 

 

The origins of scale-free production networks

Stanislao Gualdizand Antoine Mandelx

June 28, 2015

http://www.siecon.org/online/wp-content/uploads/2015/10/Gualdi.pdf

 

 

Optimization of order policies in supply networks

S. GÄottlich¤ M. Hertyy C. Ringhoferz

August 18, 2008

https://www.ki-net.umd.edu/pubs/files/FRG-2008-Ringhofer-Christian.FRG_Ringhofer_Orders080814.pdf

 

Financial Instability after Minsky: Heterogeneity, Agent Based Models and Credit
Networks

Domenico Delli Gatti

April 10, 2012

https://www.ineteconomics.org/uploads/papers/delli-gatti-domenico-berlin-paper.pdf

 

Measuring the Systemic Risk in Inter firm Transaction Networks

Makoto Hazama
And
Iichiro Uesugi

http://hermes-ir.lib.hit-u.ac.jp/rs/bitstream/10086/28392/1/wp066.pdf

 

Systemic Risk Assessment in Complex Supply Networks

Anna Ledwoch, Alexandra Brintrup, J¨orn Mehnen, Ashutosh Tiwari

https://pure.strath.ac.uk/portal/files/66716085/Ledwoch_etal_SJ_2016_Systemic_risk_assessment_in_complex_supply_networks.pdf

 

TRADE CREDIT DEFAULTS AND LIQUIDITY PROVISION BY FIRMS

Reint Gropp
Frédéric Boissay

2007

https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp753.pdf

 

The future of agent-based modelling.

Matteo Richiardi

Institute for New Economic Thinking and Nuffield College, Oxford, United Kingdom
Collegio Carlo Alberto, Moncalieri, Italy

This draft: June 2015

https://www.nuffield.ox.ac.uk/media/1702/abmfuture-v12.pdf

 

 

Financially Constrained Fluctuations in an Evolving Network Economy

Domenico Delli Gatti
Mauro Gallegati
Bruce Greenwald
Alberto Russo
Joseph E. Stiglitz

http://terna.to.it/ABM-BaF09/presentations/DelliGatti%28presentation%29_ABM.pdf

 

 

Credit Chains and Sectoral Comovement: Does the Use of Trade Credit Amplify Sectoral Shocks?

Claudio Raddatz

The World Bank
March, 2007

http://www.webmeets.com/files/papers/LACEA-LAMES/2007/335/Credit_chains_051707_withtables.pdf

 

 

Linkages and spillovers in global production networks: firm-level analysis of the Czech automotive industry

Petr Pavlinek

Pavla Žížalová

https://digitalcommons.unomaha.edu/cgi/viewcontent.cgi?article=1039&context=geoggeolfacpub

 

Ontology of Bankruptcy Diffusion through Trade Credit
Channel

Lin Cheng

Huaiqing Wang

Huaping Chen

https://50years.acs.org.au/content/dam/acs/50-years/journals/jrpit/JRPIT44.4.401.pdf

 

OPTIMAL ORDER AND DISTRIBUTION STRATEGIES IN PRODUCTION NETWORKS

Simone Gottlich, Michael Herty, and Christian Ringhofer

https://math.la.asu.edu/~chris/SpringerOpt10.pdf

 

Profitability, Trade Credit and Institutional Structure of Production

Michael Gofman
December 9, 2013

http://gofman.info/TC/Supplier-Customer%20Network.pdf

 

The Economics of Information and Financial
Networks

Stefano Battiston
July 22, 2016

https://simpolproject.eu/download/simpol-initiative-research/battiston2016information.pdf

 

Supply Chain Perspectives and Issues: A Literature Review

Albert Park
Gaurav Nayyar
Patrick Low

http://www.asiaglobalinstitute.hku.hk/en/wp-content/uploads/2016/06/supply-chain-perspectives-and-issues.pdf

 

 

LIAISONS DANGEREUSES: INCREASING CONNECTIVITY, RISK SHARING, AND SYSTEMIC RISK

Stefano Battiston
Domenico Delli Gatti
Mauro Gallegati
Bruce C. Greenwald
Joseph E. Stiglitz

http://www.nber.org/papers/w15611.pdf

 

 

Inter-Firm Trade Finance in Times of Crisis

Anna Maria C. Menichini

http://documents.worldbank.org/curated/en/649481468314087810/pdf/WPS5112.pdf

 

 

Reducing the Probability of Bankruptcy Through Supply Chain Coordination

Xiaoyan Xu, Yanhong Sun, and Zhongsheng Hua

2010

https://www.researchgate.net/profile/Yanhong_Sun5/publication/220508846_Reducing_the_Probability_of_Bankruptcy_Through_Supply_Chain_Coordination/links/573eac9d08ae298602e6e77a.pdf

 

 

Pathways towards instability in financial networks

Marco Bardoscia, Stefano Battiston Fabio Caccioli & Guido Caldarelli

2017

http://lims.ac.uk/wp-content/uploads/bardoscia2017pathways-1.pdf

 

 

International Credit Supply Shocks

Ambrogio Cesa-Bianchiy Andrea Ferreroz Alessandro Rebuccix

June 16, 2017

https://www.bostonfed.org/-/media/Documents/events/2017/boston-policy-workshop/AlessandroRebucci.pdf?la=en

 

Risk Propagation through Payment Distortion in Supply Chains

Alejandro Serrano

Rogelio Oliva

Santiago Kraiselburd

https://pdfs.semanticscholar.org/5b5f/0e6d7dc9d4b4f6bcada884b71562791404ed.pdf

 

 

Payment Defaults and Interfirm Liquidity Provision

https://academic.oup.com/rof/article-abstract/17/6/1853/1591419

 

SYSTEMIC RISK: A SURVEY

BY OLIVIER DE BANDT
AND PHILIPP HARTMANN

November 2000

https://www.econstor.eu/bitstream/10419/152469/1/ecbwp0035.pdf

 

 

Risk Propagation in Supply Chains

Alejandro Serrano

Rogelio Oliva

Santiago Kraiselburd

https://pdfs.semanticscholar.org/2db1/f3278ab2a75ff11b0142fba19a4cf223805a.pdf

 

 

How Inventory Is (Should Be) Financed: Trade Credit in Supply Chains with Demand
Uncertainty and Costs of Financial Distress

Song (Alex) Yang, John R. Birge

http://faculty.chicagobooth.edu/workshops/omscience/past/more/pdf/YangBirge_trade%20credit.pdf

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2746645

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1734682

 

 

The Supply Chain Effects of Bankruptcy

S. Alex Yang

John R. Birge, Rodney P. Parker

https://pdfs.semanticscholar.org/6efb/86a8667f24af2c6a5cd7eb52bbd12b39697b.pdf

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.715.5812&rep=rep1&type=pdf

 

Supply Chain Management: Supplier Financing Schemes and Inventory Strategies

Min Wang

https://www8.gsb.columbia.edu/programs/sites/programs/files/abstracts/Min_Wang_Dissertation.pdf

 

Foreign Investment and Supply Chains in Emerging Markets: Recurring Problems and Demonstrated Solutions

Theodore H. Moran

PIIE

2014

https://piie.com/publications/wp/wp14-12.pdf

 

Improving cash flow using credit management
The outline case

http://www.cimaglobal.com/Documents/ImportedDocuments/cid_improving_cashflow_using_credit_mgm_Apr09.pdf.pdf

 

CREDIT CHAINS AND THE PROPAGATION OF
FINANCIAL DISTRESS

2006

by Frederic Boissay

http://sdw.zentral-bank.eu/pub/pdf/scpwps/ecbwp573.pdf

 

Exposure to international crises: trade vs. financial contagion

Everett Grant

2016

https://www.esrb.europa.eu/pub/pdf/wp/esrbwp30.en.pdf?7b7cc950c1a2286d395ed8489bfde5c7

 

 

Credit Contagion and Trade Credit Supply:
Evidence from Small Business Data in Japan

TSURUTA Daisuke

https://www.rieti.go.jp/jp/publications/dp/07e043.pdf

 

 

The Price of Complexity in Financial Networks

Joseph Stiglitz

2017

https://www8.gsb.columbia.edu/faculty/jstiglitz/sites/jstiglitz/files/The%20Price%20of%20Complexity%20in%20Financial%20Networks.pdf

 

 

The Price of Complexity in Financial Networks

S. Battiston

2017

https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/risk/downloads/160913_slides_battison.pdf