Do Labour Mobility and Networks Foster Geographical Knowledge Diffusion? The Case of European Regions

XREAP Working Paper No. 2012-14

48 Pages Posted: 31 Jul 2012  

Ernest Miguélez

University of Barcelona - Department of Econometrics

Rosina Moreno

University of Barcelona - Department of Econometrics

Date Written: July 31, 2012

Abstract

The goal of this paper is twofold: first, we aim to assess the role played by inventors’ cross-regional mobility and networks of collaboration in fostering knowledge diffusion across regions and subsequent innovation. Second, we intend to evaluate the feasibility of using mobility and networks information to build cross-regional interaction matrices to be used within the spatial econometrics toolbox. To do so, we depart from a knowledge production function where regional innovation intensity is a function not only of the own regional innovation inputs but also external accessible R&D gained through interregional interactions. Differently from much of the previous literature, cross-section gravity models of mobility and networks are estimated to use the fitted values to build our ‘spatial’ weights matrices, which characterize the intensity of knowledge interactions across a panel of 269 regions covering most European countries over 6 years.

Keywords: inventors’ spatial mobility, co-patenting, gravity models, weights matrix, knowledge production function

JEL Classification: C8, J61, O31, O33, R0

Suggested Citation

Miguélez, Ernest and Moreno, Rosina, Do Labour Mobility and Networks Foster Geographical Knowledge Diffusion? The Case of European Regions (July 31, 2012). XREAP Working Paper No. 2012-14. Available at SSRN: https://ssrn.com/abstract=2120360 or http://dx.doi.org/10.2139/ssrn.2120360

Ernest Miguélez (Contact Author)

University of Barcelona - Department of Econometrics ( email )

Av. Diagonal 690
Barcelona, E-08034
Spain

Rosina Moreno

University of Barcelona - Department of Econometrics ( email )

Analisi Quantitativa Regional Research Group
08007 Barcelona
Spain

Paper statistics

Downloads
30
Abstract Views
282