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Econometric modelling of the regional knowledge production function in Europe
被引:80
|作者:
Charlot, Sylvie
[1
,2
]
Crescenzi, Riccardo
[3
]
Musolesi, Antonio
[4
]
机构:
[1] INRA, UMR GAEL 1215, F-38000 Grenoble, France
[2] Univ Grenoble Alpes, UMR GAEL 1215, F-38000 Grenoble, France
[3] London Sch Econ, Dept Geog & Environm, London WC2A 2AE, England
[4] Univ Ferrara, Dept Econ & Management, I-44100 Ferrara, Italy
关键词:
Innovation;
Europe;
R&D;
regional knowledge production function;
semiparametric models;
endogenous selection;
random growth model;
O32;
R11;
C14;
C23;
RESEARCH-AND-DEVELOPMENT;
SMOOTHING PARAMETER-ESTIMATION;
CONFIDENCE-INTERVALS;
DEVELOPMENT SPILLOVERS;
TERRITORIAL DYNAMICS;
LOCALIZED KNOWLEDGE;
QUANTILE REGRESSION;
ECONOMIC-GEOGRAPHY;
ADDITIVE-MODELS;
INNOVATION;
D O I:
10.1093/jeg/lbu035
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
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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页码:1227 / 1259
页数:33
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