2017
DOI: 10.1007/s11187-017-9938-7
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Location determinants of green technological entry: evidence from European regions

Abstract: 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 NUT… Show more

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Cited by 52 publications
(36 citation statements)
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References 82 publications
(101 reference statements)
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“…While the transition literature often tends to underline the radical or disruptive nature of green technologies, we find strong evidence that new green activities are more likely to develop in regions where related capabilities are available. This outcome replicates findings in other studies (Corradini, 2019;van den Berge & Weterings, 2014;Tanner, 2014Tanner, , 2016.…”
Section: Discussionsupporting
confidence: 91%
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“…While the transition literature often tends to underline the radical or disruptive nature of green technologies, we find strong evidence that new green activities are more likely to develop in regions where related capabilities are available. This outcome replicates findings in other studies (Corradini, 2019;van den Berge & Weterings, 2014;Tanner, 2014Tanner, , 2016.…”
Section: Discussionsupporting
confidence: 91%
“…Although we cannot confirm all expectations regarding control variables, one should also bear in mind that this literature on regional green technological diversification is quite recent and still lacks a comprehensive frame of reference. Having said that, some of the few existing empirical studies on green diversification of regions tend to confirm that most of the control variables we consider are either weakly or non-statistically significant (e.g., Corradini, 2019;Montresor & Quatraro, 2019;van den Berge & Weterings, 2014).…”
Section: Notesmentioning
confidence: 89%
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