期刊
JOURNAL OF ECONOMIC GEOGRAPHY
卷 15, 期 6, 页码 1227-1259出版社
OXFORD UNIV PRESS
DOI: 10.1093/jeg/lbu035
关键词
Innovation; Europe; R&D; regional knowledge production function; semiparametric models; endogenous selection; random growth model; O32; R11; C14; C23
资金
- ESPON - KIT (European Observation Network of Territorial Development and Cohesion - Knowledge, Innovation, Territory) Project
- LSE-SERC
- INRA CESAER
- INRA SAE2
By adopting a semiparametric approach, the 'traditional' regional knowledge production function is developed in three complementary directions. First, the model is augmented with region-specific time trends to account for endogeneity due to selection on unobservables. Second, the nonparametric part of the model relaxes the standard assumptions of linearity and additivity regarding the effect of R&D and human capital. Finally, the assumption of homogeneity in the effects of R&D and human capital is also relaxed by explicitly accounting for the differences between developed and lagging regions. The analysis of the genesis of innovation in the regions of the European Union unveils nonlinearities, threshold effects, complex interactions and shadow effects that cannot be uncovered by standard parametric formulations.
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