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Immigration and Innovation

descriptionPublicationkeyboard_double_arrow_right Article , Report , Research , Preprint 01 Jan 2011Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068,

Authors: Maré, David C.; Fabling, Richard; Stillman, Steven;

doi: 10.2139/ssrn.1851871 , 10.2139/ssrn.1835326 , 10.29310/wp.2011.05

handle: 10419/51590

Immigration and Innovation

- Summary
- Subjects
- Metrics

Abstract

We combine firm-level innovation data with area-level Census data to examine the relationship between local workforce characteristics, especially the presence of immigrants and local skills, and the likelihood of innovation by firms. We examine a range of innovation outcomes, and test the relationship for selected subgroups of firms. We find a positive relationship between local workforce characteristics and average innovation outcomes in labour market areas, but this is accounted for by variation in firm characteristics such as firm size, industry, and research and development expenditure. Controlling for these influences, we find no systematic evidence of an independent link between local workforce characteristics and innovation.

Related Organizations

Institute for the Study of Labor
Germany
Motu Economic and Public Policy Research
New Zealand
Free University of Bozen-Bolzano
Italy
University of Waikato
New Zealand

Keywords

O31, R30, local labour market, ddc:330, innovation, local labour market, immigration, innovation, immigration, jel: jel:O31, jel: jel:R30

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	31
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%