A heterogeneous coefficient approach to the knowledge production function

Corinne Autant-Bernard and James LeSage

Abstract: Past literature has used conventional spatial autoregressive panel data models to relate patent production output to knowledge production inputs. However, research conducted on regional innovation systems points to regional disparities in both regions ability to turn their knowledge inputs into innovation and to access external knowledge. Applying a heterogeneous coefficients spatial autoregressive panel model, we estimate region-specific knowledge production functions for 94 NUTS3 regions in France using a panel covering 21 years from 1988 to 2008 and 4 high-technology industries. A great deal of regional heterogeneity in the knowledge production function relationship exists across regions, providing new insights regarding spatial spillin and spillout effects between regions.

Keywords: Knowledge production; spatial econometrics; region-specific parameters (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-cse, nep-eff, nep-sbm and nep-ure
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Related works:
Journal Article: A heterogeneous coefficient approach to the knowledge production function (2019)
Working Paper: A heterogeneous coefficient approach to the knowledge production function (2019)
Working Paper: A heterogeneous coefficient approach to the knowledge production function (2018)
Working Paper: A heterogeneous coefficient approach to the knowledge production function (2017)
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