Knowledge Spillovers and Local Industry Growth: A Patent Citation Approach
Kejun Song,
Gerald Simons and
Wei Sun
The American Economist, 2019, vol. 64, issue 1, 60-72
Abstract:
We create unique patent-based measures of Marshall–Arrow–Romer (MAR) and Jacobs knowledge spillovers using patent citations data and use them to test the Glaeser et al. model of local industry employment growth on three emerging technology categories, namely, computing and communications, drugs and medical, and electrics and electronics. We test growth in 45 U.S. metropolitan statistical areas (MSAs) and consolidated metropolitan statistical areas (CMSAs) for eight two-digit industries over the period 1994 to 2000. We find strong evidence for MAR spillovers from specialization, but little for Jacobs spillovers from diversity. Our results suggest that regional specialization, but not diversity, boosts local industry employment growth in these knowledge fields. JEL classifications : J21, L16
Keywords: knowledge spillovers; patent citations; MAR externalities; Jacobs externalities; specialization; diversity; local growth (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0569434518775102 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:amerec:v:64:y:2019:i:1:p:60-72
DOI: 10.1177/0569434518775102
Access Statistics for this article
More articles in The American Economist from Sage Publications
Bibliographic data for series maintained by SAGE Publications ().