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EXPLAINING THE VARIATION IN THE EMPIRICAL ESTIMATES OF ACADEMIC KNOWLEDGE SPILLOVERS *
Author(s) -
Ghinamo Mauro L.
Publication year - 2012
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.1467-9787.2012.00764.x
Subject(s) - endogeneity , spillover effect , economies of agglomeration , sample (material) , meta regression , selection bias , economics , econometrics , economic geography , selection (genetic algorithm) , knowledge spillover , variation (astronomy) , empirical evidence , meta analysis , industrial organization , statistics , microeconomics , computer science , mathematics , medicine , philosophy , chemistry , physics , epistemology , chromatography , artificial intelligence , astrophysics
This paper presents a meta‐regression analysis of the empirical studies exploring the relationship between academic knowledge spillovers and regional innovation. The results of the literature are found to depend on country effects, the level of geographical aggregation employed, the method of measuring innovative output, the use of industry‐level data, and on the sectoral composition of the sample. Endogeneity, sample selection, and agglomeration forces are further elements that explain the findings on this issue but only weak evidence, after controlling for publication bias, supports the existence of a genuine spillover effect of university research on regional innovation.