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handle: 11245/1.159471
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.
Economic geography, Consumer Economics: Theory, Consumer Economics: Empirical Analysis, Geowetenschappen en aanverwante (milieu)wetenschappen, Planologie(PLAN), New technology - Economic geography - Evolutionary economics - Agglomeration economies - Regional adjustment, Human geography, Sociale Geografie(SGEO), jel: jel:O30, jel: jel:R00, jel: jel:R11, jel: jel:O18
Economic geography, Consumer Economics: Theory, Consumer Economics: Empirical Analysis, Geowetenschappen en aanverwante (milieu)wetenschappen, Planologie(PLAN), New technology - Economic geography - Evolutionary economics - Agglomeration economies - Regional adjustment, Human geography, Sociale Geografie(SGEO), jel: jel:O30, jel: jel:R00, jel: jel:R11, jel: jel:O18
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 392 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |