J

John Foster

The University of Queensland

ORCID: 0000-0002-2601-1539

Publishes on Economic theories and models, Complex Systems and Time Series Analysis, Irish and British Studies. 580 papers and 6.8k citations.

580Publications
6.8kTotal Citations

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Top publicationsby citations

From simplistic to complex systems in economics
John Foster|Cambridge Journal of Economics|2005
Cited by 325

The applicability of complex systems theory in economics is evaluated and compared with standard approaches to economic theorising based upon constrained optimisation. A complex system is defined in the economic context and differentiated from complex systems in physio-chemical and biological settings. It is explained why it is necessary to approach economic analysis from a network, rather than a production and utility function perspective, when we are dealing with complex systems. It is argued that much of heterodox thought, particularly in neo-Schumpeterian and neo-Austrian evolutionary economics, can be placed within a complex systems perspective upon the economy. The challenge is to replace prevailing 'simplistic' theories, based in constrained optimisation, with 'simple' theories, derived from network representations in which value is created through the establishment of new connections between elements. Copyright 2005, Oxford University Press.

Adaptive economic growth
J. S. Metcalfe, John Foster, Ronnie Ramlogan|Cambridge Journal of Economics|2005
Cited by 280Open Access

This paper develops an evolutionary theory of adaptive growth, understood as a product of structural change and economic self-transformation, based upon processes that are closely connected with but not reducible to the growth of knowledge. The dominant connecting theme is enterprise, the innovative variations it generates and the multiple connections between investment, innovation, demand and structural transformation in the market process. The paper explores the dependence of macroeconomic productivity growth on the diversity of technical progress functions and income elasticities of demand at the industry level, and the resolution of this diversity into patterns of economic change through market processes. It is shown how industry growth rates are constrained by higher-order processes of emergence that convert an ensemble of industry growth rates into an aggregate rate of growth. The growth of productivity, output and employment are determined mutually and endogenously, and their values depend on the variation in the primary causal influences in the system.