Chapter 61 Knowledge spillovers and the geography of innovation

Audretsch, David B.; Feldman, Maryann P.

doi:10.1016/s1574-0080(04)80018-x

Cited by 1,196 publications

(1,240 citation statements)

References 55 publications

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“…Intuitively, one expects the workplace or firm to be the primary container for interactions yielding spillovers. And yet, we can draw a line from Alfred Marshall through more recent work like Jaffe (1989), Audretsch and Feldman (2004) and Kerr and Kominers (2015), identifying important regional externalities in the production and dissemination of knowledge. The present article may be read as complementary to this tradition, suggesting that economically significant interactions among diverse problem solvers are not fully, or even mainly confined within individual workplaces.…”

Section: Resultsmentioning

confidence: 99%

Spillovers from immigrant diversity in cities

Kemeny

Cooke

2017

Journal of Economic Geography

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Theory and evidence suggest that people born in different countries complement each other in the labor market. Immigrant diversity could augment productivity by enabling the combination of different skills, ideas and perspectives, resulting in greater productivity. Using matched employer-employee data for the USA, this paper evaluates this claim, and makes empirical and conceptual contributions to prior work. It addresses the potential bias from unobserved heterogeneity among individuals, work establishments and cities. The paper also identifies diversity impacts at both city and workplace scales, and considers how relationships vary across different segments of the labor market. Findings suggest that urban immigrant diversity produces positive and nontrivial spillovers for U.S. workers. This social return represents a distinct channel through which immigration may generate broad-based economic benefits.

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Section: Resultsmentioning

confidence: 99%

Spillovers from immigrant diversity in cities

Kemeny

Cooke

2017

Journal of Economic Geography

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“…4 While the positive effects of local agglomeration on knowledge intensive industries might be clear from a theoretical point of view, it is not easy to identify empirically the causal effect of geographical proximity on R&D activity. Starting from the influential work of Acs et al (1993), Jaffe et al (1993), Audretsch and Feldman (1996) and Anselin et al (1997), there is a growing literature identifying the transmission channels from clustered firms to enhanced R&D, innovation activity and finally productivity growth. Acs et al (1993), for instance, estimate production functions for US data and find that, beside standard input factors, the geographical position in a cluster matters strongly.…”

Section: Rationalesmentioning

confidence: 99%

Does Cluster Policy Trigger R&D Activity? – Evidence from German Biotech Contests

et al. 2012

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in

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“…The subscript i represents the unit of observation, such as regions, industries, or enterprises (Audretsch and Feldman 2004). To incorporate the spatial dimension, Jaffe (1989) modified the above traditional model and used: where IRD is private corporate expenditure on R&D, UR is the research expenditures occurred at universities, and GC measures the geographic coincidence of university and corporate research.…”

Section: Decomposing Innovation Inequalitymentioning

confidence: 99%

China's Regional Inequality in Innovation Capability: 1995–2004

Fan¹,

Wan²

2008

Inequality and Growth in Modern China

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Relying on a recently developed decomposition framework, this paper explores spatial distribution of innovation capability in China. It is found that at the regional level, China's inequality in innovation capability increased from 1995 to 2004. At the provincial level, the inequality decreased from1995 to 2000, but increased from 2000 to 2004. Location, industrialization and urbanization, human capital, and openness (foreign direct investment) are significant contributors to the inequality in innovation capability. Unbalanced development in high-tech parks exerts a growing explanatory power in driving innovation disparity, which implies that institutional factor plays a direct role.

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Chapter 61 Knowledge spillovers and the geography of innovation

Cited by 1,196 publications

References 55 publications

Spillovers from immigrant diversity in cities

Spillovers from immigrant diversity in cities

Does Cluster Policy Trigger R&D Activity? – Evidence from German Biotech Contests

China's Regional Inequality in Innovation Capability: 1995–2004

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