The emergence of new technology-based industries: the case of fuel cells and its technological relatedness to regional knowledge bases

Tanner, Anne Nygaard

doi:10.1093/jeg/lbv011

Cited by 88 publications

(54 citation statements)

References 60 publications

(83 reference statements)

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“…In particular, these studies tend to focus on regions and show that industries are more likely to enter and more likely to survive in a region when related to existing industries in that region (see, e.g., Neffke, Henning, and Boschma 2011;Boschma, Minondo, and Navarro 2013;Essletzbichler 2015;Cortinovis et al 2017;He, Yan, and Rigby, forthcoming). The same is true for new technologies that are more likely to occur in regions when related technologies are locally present (e.g., Kogler, Rigby, and Tucker 2013;Colombelli, Krafft, and Quatraro 2014;Heimeriks and Boschma 2014;Van Den Berge and Weterings 2014;Boschma, Balland, and Kogler 2015;Feldman, Kogler, and Rigby 2015;Rigby 2015;Tanner 2016;Montresor and Quatraro 2017;Balland et al, forthcoming). In other words, related diversification is a dominant pattern in many regions.…”

Section: Toward a Territory-specific Treatment Of Industrial Diversifmentioning

confidence: 99%

Industrial Diversification in Europe: The Differentiated Role of Relatedness

Xiao¹,

2018

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There is increasing interest in the drivers of industrial diversification, and how these depend on economic and industry structures. This article contributes to this line of inquiry by analyzing the role of industry relatedness in explaining variations in industry diversification, measured as the entry of new industry specializations, across 173 European regions during the period 2004-2012. First, we show that there are significant differences across regions in Europe in terms of industrial diversification. Second, we provide robust evidence showing that the probability that a new industry specialization develops in a region is positively associated with the new industry's relatedness to the region's current industries. Third, a novel finding is that the influence of relatedness on the probability of new industrial specializations depends on innovation capacity of a region. We find that relatedness is a more important driver of diversification in regions with a weaker innovation capacity. The effect of relatedness appears to decrease monotonically as the innovation capacity of a regional economy increases. This is consistent with the argument that high innovation capacity allows an economy to break from its past and to develop, for the economy, truly new industry specializations. We infer from this that innovation capacity is a critical factor for economic resilience and diversification capacity.

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Section: Toward a Territory-specific Treatment Of Industrial Diversifmentioning

confidence: 99%

Industrial Diversification in Europe: The Differentiated Role of Relatedness

Xiao¹,

2018

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“…What can be done in future studies is to analyse directly the impact of related variety on entrepreneurship, knowledge and innovation, which in turn are expected to lead to employment and exports. Quite some studies already analysed the effects of related and unrelated variety on patents as the dependent variable (Castaldi, Frenken, & Los, 2015;Kogler, Rigby, & Tucker, 2013;Rigby, 2015;Tanner, 2016;Tavassoli & Carbonara, 2014), but fewer of such studies exist looking at scientific publications Heimeriks & Balland, 2015) or new firm formation (Colombelli, 2016;Guo, He, & Li, 2016) as dependent variables. (8) Finally, related-variety studies hitherto focus on how related variety affects economic development, while research on the geography of knowledge recombination processes at the micro-level remains rather unconnected to the related-variety literature.…”

Section: Future Researchmentioning

confidence: 99%

Related variety and economic development: a literature review

Frenken

2016

European Planning Studies

196

124

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Since the introduction of the related variety concept in 2007, a number of studies have been undertaken to analyse its effect on economic development. Our review of 21 studies makes clear that most studies find support for the initial hypothesis that related variety supports employment growth, though some studies suggest that the growth effects of related variety may be specific to knowledge-intensive sectors only. From the review, we list a number of further research questions regarding methodology, the role of unrelated variety, different forms of relatedness and the effect of related variety on knowledge production and entrepreneurship.ARTICLE HISTORY

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“…Thus, regional branching and the direction of regional technological change are not only path dependent, but also place dependent (Martin and Sunley 2006). Following this perspective, recent studies have explored the relevance of spatial path dependence offering evidence of the relationship between the development of emerging fuel cell technology and its technological relatedness with the regional knowledge base (Tanner 2014(Tanner , 2015. Likewise, the descriptive findings for the H2FC industry by Madsen and Andersen (2010) suggest similar dynamics, as some of the industrial clusters located in the highly active H2FC regions are defined by technologies that may underpin the development of H2FC.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

“…However, research on the innovation and entrepreneurship dynamics inherent to green start-ups remain largely underdeveloped. In particular, while previous research offers descriptive insights from selected regions and technologies pointing to the importance of the regional economy for the emergence of this new industry (Smith 2007;Madsen and Andersen 2010;Tanner 2015), there is limited evidence on the locational determinants of new green innovative firms.…”

Section: Introductionmentioning

confidence: 99%

Location determinants of green technological entry: evidence from European regions

Corradini

2017

Small Bus Econ

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In this paper, we explore the spatial distribution and the location determinants of new green technology-based firms across European regions. Integrating insights from evolutionary economic geography and the literature on knowledge spillovers, we study the importance of new knowledge creation and the conditioning role played by regional technological relatedness in fostering combinatorial opportunities underlying the process of green technological entry. The analysis is based on a dataset covering over 900 NUTS3 regions for 15 European countries obtained merging economic data from ESPON-Eurostat and patent information from the PATSTAT-CRIOS database for the period 1996-2006. Our results show that the geographical distribution of green technological entry across European regions is not evenly distributed, offering evidence of spatial path dependence. In line with this, we find evidence of a significant role played by the characteristics of the regional innovation system. New green innovators are more likely to develop in regions defined by higher levels of technological activity underlying knowledge spillovers and more dynamism in technological entry. Moreover, our findings point to an inverted-U relationship between regional technological relatedness and green technological entry. Regions whose innovation activity is defined by cognitive proximity to environmental technologies support interactive learning and knowledge spillovers underlying entrepreneurship in this specific area. However, too much relatedness may cause technological lock-ins and reduce the set of combinatorial opportunities.

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The emergence of new technology-based industries: the case of fuel cells and its technological relatedness to regional knowledge bases

Cited by 88 publications

References 60 publications

Industrial Diversification in Europe: The Differentiated Role of Relatedness

Industrial Diversification in Europe: The Differentiated Role of Relatedness

Related variety and economic development: a literature review

Location determinants of green technological entry: evidence from European regions

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