Title: An alternative approach towards the knowledge production function on a regional level - applications for the USA and Russia
Authors: Jens K. Perret
Addresses: Department of International Management, Economics and Quantitative Methods, International School of Management, Im MediaPark 5c, 50670 Cologne, Germany
Abstract: A knowledge production function is used to account for the efficiency of an innovation systems; it provides a quantile regression estimation of the knowledge production function to account for a nonlinear relationship (efficiency) between knowledge inputs and knowledge output. Regional data for researchers, expenditures on R&D and patent grants for the USA and the Russian Federation is used in two different designs. In both countries, groups of regions exist with smaller sized research systems that report significantly different dynamics and thus knowledge production functions than regions with larger sized research systems. In the USA, regions with small research systems report decreasing returns to knowledge inputs while region with large research systems report increasing returns to knowledge inputs thus efficiency is achieved in fostering larger regional innovation systems. In the Russian Federation, the effect is exactly the opposite; it is the smaller regional innovation systems that are most productive.
Keywords: Russian Federation; innovation system; knowledge production function; KPF; knowledge generation; quantile regression; regional economics; USA; Russia; panel data; econometrics; efficiency of knowledge production; knowledge economy; innovation; comparison of regional development.
International Journal of Innovation and Regional Development, 2018 Vol.8 No.1, pp.44 - 74
Available online: 08 Mar 2018 *Full-text access for editors Access for subscribers Free access Comment on this article