Technological Relatedness, Related Variety and Economic Geography

Boschma, R.A.; Frenken, Koen

doi:10.4337/9780857931504.00028

Cited by 92 publications

(105 citation statements)

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“…Cluster emergence is partially caused by what has previously happened in the region (and globally), and thus relates to already available local capabilities, routines and institutions (Boschma & Frenken, 2011). "Even in the case of radical technological development, knowledge production is also highly cumulative and builds on pre-existing localized scientific and technological resources" (Tanner, 2011, p. 24).…”

Section: Cluster Life-cycle Approachmentioning

confidence: 98%

Perspectives on Cluster Evolution: Critical Review and Future Research Issues

Trippl

Grillitsch

Isaksen

et al. 2015

European Planning Studies

101

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The past two decades have witnessed an ever-growing scholarly interest in regional clusters. The focus of research has mainly been on exploring why clusters exist and what characteristics "functioning" clusters possess. Although the interest in more dynamic views on clusters is not new, in recent years, however, greater attention has been paid to providing better explanations of how clusters change and develop over time, giving rise to an increasing popularity of the cluster life-cycle approach. This paper discusses the key ideas and arguments put forward by the main protagonists of this approach and identifies several missing elements, such as indifference to place-specific factors, neglect of multi-scalar impacts and underappreciation of the role of human agency. Based on this critical assessment, a number of suggestions for future research are made. We argue that there is a need to study the influence of the wider regional environment on cluster evolution and to explore how cluster development paths are influenced by a multiplicity of factors and processes at various spatial scales. Finally, it is claimed that future research should pay more attention to the role of human agents and the ways they shape the long-term development of regional clusters. We outline how future studies can tackle these issues.

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Section: Cluster Life-cycle Approachmentioning

confidence: 98%

Perspectives on Cluster Evolution: Critical Review and Future Research Issues

Trippl

Grillitsch

Isaksen

et al. 2015

European Planning Studies

101

View full text Add to dashboard Cite

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“…In a very similar vein, Boschma and Frenken () refer to regional branching. Mechanisms through which this occurs include regional entrepreneurship, firm diversification, spin‐offs, and labor mobility.…”

Section: Evolutionary Economic Geographymentioning

confidence: 98%

Creative Industries from an Evolutionary Perspective: A Critical Literature Review

Berg

Hassink

2014

Geography Compass

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Although creative industries have been popular as a research topic among social scientists from various backgrounds, most studies lack an explicit evolutionary, history-informed perspective. In this paper, we critically explore whether the notions of evolutionary economic geography can contribute to analyzing and explaining the spatial dynamics of creative industries, which has not been done yet in a systematic way. Although not all evolutionary concepts are useful, we conclude that co-evolution in particular has important potential in helping to explain the spatial dynamics of creative industries in a comparative perspective.

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“…They gradually focus on contributing to the new technology trajectory in fields in which they can rely on established competitive advantages traditionally supported by their NIS. An emerging integration of actors from neighbouring technologies or sectors has likewise been investigated with respect to the concept of related variety (Boschma and Frenken, 2011). It may be argued that in later stages of technology formation the strength of established and related sectoral system is influential in terms of further directing the trajectory of a new technology.…”

Section: Rescaling In Time and Space: Progress By The Convergence Of mentioning

confidence: 99%