A heterogeneous coefficient approach to the knowledge production function. Issue 2 (3rd April 2019)

• Record Type: Journal Article
• Authors: Autant-Bernard, Corinne; LeSage, James P.
• Is Part Of: Spatial economic analysis. Volume 14:Issue 2(2019)
• Page Start: 196
• Page End: 218
• Publication Date: 2019-04-03
• Subjects: knowledge production -- spatial econometrics -- region-specific parameters; C21 -- O31 -- O52 -- R12; Space in economics -- Periodicals; Economic geography -- Periodicals; Space in economics -- Econometric models -- Periodicals; Urbanization -- Periodicals; Espace (Économie politique) -- Périodiques; Économétrie -- Périodiques; Géographie économique -- Périodiques; Économie industrielle -- Périodiques; Économie du travail -- Périodiques; Économie urbaine -- Périodiques; Politique économique -- Périodiques; Relations économiques internationales -- Périodiques; 330.9
• DOI: 10.1080/17421772.2019.1562201
• Languages: English
• ISSNs: 1742-1772

Abstract

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.