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JournalISSN: 0936-9937

Journal of Evolutionary Economics 

Springer Science+Business Media
About: Journal of Evolutionary Economics is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Entrepreneurship & Evolutionary economics. It has an ISSN identifier of 0936-9937. Over the lifetime, 1123 publications have been published receiving 45438 citations. The journal is also known as: Evolutionary economics & JEE.


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Journal ArticleDOI
TL;DR: In this paper, the authors suggest that the economic growth of countries reflects their developmental potential which, in turn, is a function of the technological systems in which various economic agents participate, and they define a technological system as a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology.
Abstract: This paper suggests that the economic growth of countries reflects their developmental potential which, in turn, is a function of the technological systems in which various economic agents participate. The boundaries of technological systems may or may not coincide with national borders and may vary from one techno-industrial area to another. The central features of technological systems are economic competence (the ability to develop and exploit new business opportunities), clustering of resources, and institutional infrastructure. A technological system is defined as a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology. Technological systems are defined in terms of knowledge/competence flows rather than flows of ordinary goods and services. In the presence of an entrepreneur and sufficient critical mass, such networks can be transformed into development blocks, i.e. synergistic clusters of firms and technologies which give rise to new business opportunities.

1,964 citations

Journal ArticleDOI
TL;DR: The authors presents the basic ideas and methodologies of a set of contemporary contributions which are grouped under the general heading of "evolutionary economics" and discusses some achievements, some unresolved issues and a few promising topics of research are flagged.
Abstract: This paper presents the basic ideas and methodologies of a set of contemporary contributions which are grouped under the general heading of “evolutionary economics”. Some achievements-especially with regard to the analysis of technological change and economic dynamics-are illustrated, some unresolved issues are discussed and a few promising topics of research are flagged.

772 citations

Journal ArticleDOI
TL;DR: In this article, the authors explain how and why the developed countries are undergoing a fundamental shift away from a managed economy and towards an entrepreneurial economy and why this shift is shaping the development of western capitalism and has triggered a shift in government policies away from constraining the freedom of business to contract through regulation, public ownership and antitrust towards a new set of enabling policies which foster the creation and commercialization of new knowledge.
Abstract: This paper explains how and why the developed countries are undergoing a fundamental shift away from a managed economy and towards an entrepreneurial economy. This shift is shaping the development of western capitalism and has triggered a shift in government policies away from constraining the freedom of business to contract through regulation, public ownership and antitrust towards a new set of enabling policies which foster the creation and commercialization of new knowledge. The empirical evidence from a cross-section of countries over time suggests that those countries that have experienced a greater shift from the managed to the entrepreneurial economy have had lower levels of unemployment.

680 citations

Journal ArticleDOI
TL;DR: In this paper, the specification of evolutionary game models and the possible asymptotic behavior for one and two dimensional models are discussed. But the authors do not consider the problem of modeling substantive economic issues.
Abstract: Evolutionary games have considerable unrealized potential for modeling substantive economic issues. They promise richer predictions than orthodox game models but often require more extensive specifications. This paper exposits the specification of evolutionary game models and classifies the possible asymptotic behavior for one and two dimensional models.

585 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore how key notions from Evolutionary Economics, such as selection, path-dependency, chance and increasing returns, may be applied to two key topics in economic Geography.
Abstract: This article attempts to explore how key notions from Evolutionary Economics, such as selection, path-dependency, chance and increasing returns, may be applied to two key topics in Economic Geography. The first issue is the problem of how to specify the (potential) impact of the spatial environment on new variety in terms of technological change. Evolutionary thinking may be useful to describe and explain: (1) the process of localized `collective' learning in a regional context, (2) the adjustment problems that regions may be confronted with in a world of increasing variation, and (3) the spatial formation of newly emerging industries as an evolutionary process, in which the spatial connotation of increasing returns (that is, agglomeration economies) may result in a spatial lock-in. The second issue is the problem of how new variety may affect the long-term evolution of the spatial system. We distinguish three approaches that, each in a different way, apply evolutionary notions to the nature of spatial evolution. This is strongly related to the issue whether mechanisms of chance and increasing returns, rather than selection and path-dependency, lay at the root of the spatial evolution of new technology.

562 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202321
202255
202167
202053
201954
201850