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Cited by 275

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Adaptive economic growth

Metcalfe, J. Stan, Foster, John, Ramlogan, Ronnie·2006·Cambridge Journal of Economics

Abstract

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.

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Crossref · 10.1093/cje/bei055

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Metadata

Authors
Metcalfe, J. S., Foster, J., & Ramlogan, R.
Venue
Cambridge Journal of Economics
Published
2005-07-04
Volume
30
Issue
1
Pages
7-32
ISSN
  • 0309-166X (ISSN-L)
  • 1464-3545
OpenAlex
W2170355379
Cited by
275
References
2
FWCI
20.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive economic growth. https://app.cochat.ai/papers/10.1093/cje/bei055
The paper
Metcalfe, J. S., Foster, J., & Ramlogan, R. (2006). Adaptive economic growth. Cambridge Journal of Economics. https://doi.org/10.1093/cje/bei055

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.