A heterogeneous coefficient approach to the knowledge production function

Corinne Autant-Bernard and James LeSage

Spatial Economic Analysis, 2019, vol. 14, issue 2, 196-218

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 (KPFs) for 94 NUTS-3 regions in France using a panel covering 21 years from 1988 to 2008 and four high-technology industries. A great deal of regional heterogeneity in the KPF relationship exists across regions, providing new insights regarding spatial spillin and spillout effects between regions.

Date: 2019
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Related works:
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 (2018)
Working Paper: A heterogeneous coefficient approach to the knowledge production function (2017)
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DOI: 10.1080/17421772.2019.1562201

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