2017
DOI: 10.1080/00343404.2017.1329586
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Interplay between regional and industrial aspects in the R&D–productivity link: evidence from Europe

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Cited by 10 publications
(7 citation statements)
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“…Besides the region (𝑎 𝑖 ) and time (𝛿 𝑡 ) fixed-effects, 𝑋 𝑖𝑡 is a vector of regional control variables -and 𝑍 1 is a vector of their estimated coefficients -which includes: e) The share of manufacturing, which captures local industrial structures with a large share of manufacturing. To the extent that this is based on high-tech manufacturing, we would expect a positive sign whilst if the focus is in low-tech industries, the relationship to productivity could be negative (PRENZEL et al, 2018).…”
Section: Insert Table 2 Around Herementioning
confidence: 97%
“…Besides the region (𝑎 𝑖 ) and time (𝛿 𝑡 ) fixed-effects, 𝑋 𝑖𝑡 is a vector of regional control variables -and 𝑍 1 is a vector of their estimated coefficients -which includes: e) The share of manufacturing, which captures local industrial structures with a large share of manufacturing. To the extent that this is based on high-tech manufacturing, we would expect a positive sign whilst if the focus is in low-tech industries, the relationship to productivity could be negative (PRENZEL et al, 2018).…”
Section: Insert Table 2 Around Herementioning
confidence: 97%
“…At the same time, expanding a firm's absorptive capacity through R&D investment provides it with greater opportunity to connect with global pipelines of new technologies, moving beyond a reliance on local networks (Bathelt et al, 2004;Trippl et al, 2018). However, there is also evidence that R&D investment enhances a firm's ability to capture and exploit knowledge generated locally (Lo´pez-Bazo and Motello´n, 2018;Prenzel et al, 2018).…”
Section: Localised Knowledge Spillovers and Randd Spendmentioning
confidence: 99%
“…Yet, following the seminal insights of Krugman (1991aKrugman ( , 1991b, Porter (1990), Glaeser et al (1992) and Scott (1988), identifying which are the "correct" city-region choices for MNEs typically requires us to step out of the traditional "O"and "I"-dominated lines of IB thinking and to explore the evidence emerging from economic geography regarding the dynamics of the wider geographical context. Issues regarding different notions of distance (Beugelsdijk et al, 2017;Boschma, 2007), local patterns of technological relatedness (Boschma and Iammarino, 2010), the nature of knowledge diffusion processes (Ortega-Argilés, 2012;Cozza et al, 2012;Prenzel et al, 2017), cities and agglomeration-related knowledge spillovers (Iammarino and McCann, 2013), local entrepreneurial settings (Acs et al, 2015) and the quality of local governance systems (Charron et al, 2013;Ascani et al, 2016), are all nowadays regarded as being important influences on both the MNE location decision and also the decisions regarding the specific role of each MNE subsidiary. In turn, the renewed interest on the role played by tradeables, as well as connectivity in driving the performance of places, has also spurred interest on the part of economic geographers regarding the investment drivers of MNEs (Dimitropoulou et al, 2013;Wren and Jones, 2012) and the consequence for local economic development and territorial equality (Crescenzi and Iammarino, 2017).…”
Section: International Business Cities and Economic Geographymentioning
confidence: 99%