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Why Is Economics Not a Complex Systems Science?

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  • John Foster

Abstract

Economics is viewed as a discipline that is mainly concerned with 'simplistic' theorizing, centered upon constrained optimization. As such, it is ahistorical and outcome focused, ie, it does not deal with economic processes. It is argued that all parts of the economy are inhabited by complex adaptive systems operating in complicated historical contexts and that this should be acknowledged at the core of economic analysis. It is explained how economics changes in fundamental ways when such a perspective is adopted, even if the presumption that people will try to optimize subject to constraints is retained. This is illustrated through discussion of how the production function construct has been used to provide an abstract representation of the network structures that exist in complex adaptive systems such as firms. It is argued that this has led to a serious understatement of the importance of rule systems that govern the connections in productive networks. The macroeconomics of John Maynard Keynes is then revisited to provide an example of how some economists in earlier times were able to provide powerful economic analysis that was based on intuitions that we can now classify as belonging to complex systems perspective on the economy. Throughout the paper, the reasons why a complex systems perspective did not develop in the mainstream of economics in the 20th Century, despite the massive popularity of an economist like Keynes, are discussed and this is returned to in the concluding section where the prospect of paradigmatic change occurring in the future is evaluated.
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Suggested Citation

  • John Foster, 2006. "Why Is Economics Not a Complex Systems Science?," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(4), pages 1069-1091, December.
  • Handle: RePEc:mes:jeciss:v:40:y:2006:i:4:p:1069-1091
    DOI: 10.1080/00213624.2006.11506975
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    1. Jason Potts, 2000. "The New Evolutionary Microeconomics," Books, Edward Elgar Publishing, number 2258.
    2. Geoffrey M. Hodgson, 1999. "Evolution and Institutions," Books, Edward Elgar Publishing, number 1481.
    3. Freeman, Chris & Louca, Francisco, 2002. "As Time Goes By: From the Industrial Revolutions to the Information Revolution," OUP Catalogue, Oxford University Press, number 9780199251056.
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    3. James Derbyshire & Garry Haywood, 2007. "Schumpeterian 'Creative Destruction' and Strengthening the Business Stock Through Firm Formation," Working Papers 200739, University of Liverpool, Department of Economics.
    4. Brendan Markey-Towler & John Foster, 2013. "Why economic theory has little to say about the causes and effects of inequality," Discussion Papers Series 476, School of Economics, University of Queensland, Australia.
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    7. Ron Martin & Peter Sunley, 2010. "Complexity Thinking and Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 4, Edward Elgar Publishing.
    8. Charlotte Bruun, 2016. "Rediscovering the Economics of Keynes in an Agent-Based Computational Setting," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 77-96, July.
    9. Simone Landini & Corrado Di Guilmi & Mauro Gallegati, 2008. "A Maxent Model For Macroscenario Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 719-744.
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    19. Chris Noell, 2007. "A look into the nature of complex systems and beyond “Stonehenge” economics: coping with complexity or ignoring it in applied economics?," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 219-235, September.
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