Knowledge spillovers and total factor productivity. Evidence using a spatial panel data model

Fischer, Manfred M. and Scherngell, Thomas and Reismann, Martin (2008): Knowledge spillovers and total factor productivity. Evidence using a spatial panel data model. Published in: Geographical Analysis , Vol. 41, No. 2 (2009): pp. 204-220.

Abstract

This paper investigates the impact of knowledge capital stocks on total factor productivity through the lens of the knowledge capital model proposed by Griliches (1979), augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on total factor productivity (TFP) in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen and Diewert (1982). This index describes how efficiently each region transforms physical capital and labour into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy regional knowledge capital stocks for N=203 regions over the 1997- 2002 time period. In estimating the effects we implement a spatial panel data model that controls for the spatial autocorrelation due to neighbouring regions and the individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions, and add an important spatial dimension to the discussion, by showing that productivity

• Item Type: MPRA Paper
• Language: English
• Keywords: Total factor productivity, knowledge spillovers, European regions, panel data, spatial econometrics
• Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O49 - Other; O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O52 - Europe; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R15 - Econometric and Input-Output Models ; Other Models

References

Anselin, L. (2001): Spatial econometrics, in: B.H. Baltagi (ed.) A Companion to Theoretical Econometrics: Methods and Models. Oxford, Blackwell, pp. 310-330

Anselin, L. (1988): Spatial Econometrics: Methods and Models. Dordrecht, Kluwer

Anselin, L., Varga, A. and Acs, Z. (1997): Local geographic spillovers between university research and high technology innovations, Journal of Urban Economics 42, 422-448

Baltagi, B.H., Song, S.H. and Koh, W. (2003): Testing panel data regression models with spatial error correlation, Journal of Econometrics 117(1), 123-150

Bottazzi, L. and Peri, G. (2003): Innovation and spillovers in regions: Evidence from European patent data, European Economic Review 47, 687-710

Branstetter, L.G. (2001): Are knowledge spillovers international or intranational in scope? Microeconometric evidence from the U.S. and Japan, Journal of International Economics 53, 53-79

Caballero, J.R. and Jaffe, J.B. (1993): How high are the giants shoulders: An empirical assessment of knowledge spillovers and creative destruction in a model of economic growth, in: Blanchard, U. and Fischer, S. (eds.) NBER Macroeconomics Annual 1993, Vol. 8. Cambridge [MA], The MIT Press, pp. 15–74

Caves, D., Christensen, L. and Diewert, W. (1982): Multilateral comparisons of output, input, and productivity using superlative index numbers, Economic Journal 92, 73-86

Coe, D.T. and Helpman, E. (1995): International R&D spillovers, European Economic Review 39(5), 859-887

Crescenzi, R., Rodríguez-Pose, A. and Storper, M. (2007): The territorial dynamics of innovation: A Europe-United States comparative analysis, Journal of Economic Geography 7, 673-709

Diewert, W.E. (1992): The measurement of productivity, Bulletin of Economic Research 44(3), 163-198

Doraszerlski, U. and Jaumandreu, J. (2008): R&D and productivity: Estimating production functions when productivity is endogenous. Discussion Paper No. 2147, Harvard University, Cambridge [MA]

Döring, T. and Schnellenbach, J. (2006): What do we know about geographical knowledge spillovers and regional growth? Regional Studies 40(3), 375-395

Elhorst, J.P. (2005): Models for dynamic panels – An application to regional unemployment in the EU. 45th Congress of the European Regional Science Association, Amsterdam, 23-27 August, 2005

Elhorst, J.P. (2003): Specification and estimation of spatial panel data models, International Regional Science Review 26(3), 244-268

European Commission (2001): The territorial dimension of research and development policy: Regions in the European research area, Directorate-General for Research, European Commission, February 2001

Fingleton, B. (2001) Equilibrium and economic growth: Spatial econometric models and simulations, Journal of Regional Science 41(1), 117-147

Fischer, M.M. and Reggiani, A. (2004): Spatial interaction models: From the gravity to the neural network approach, in Capello, R. and Nijkamp, P. (eds.) Urban Dynamics and Growth. Amsterdam, Elsevier, pp. 319-346

Fischer, M.M. and Varga, A. (2003): Spatial knowledge spillovers and university research: Evidence from Austria, Annals of Regional Science 37(2), 303-322

Fischer, M.M., Scherngell, T. and Jansenberger, E. (2006): The geography of knowledge spillovers between high-technology firms in Europe. Evidence from a spatial interaction modelling perspective, Geographical Analysis 38(3), 288-309

Griffith, D.A. (1988): Advanced Spatial Statistics. Dordrecht, Kluwer Griliches, Z. (1995): R&D and productivity; Econometric results and measurement issues, in Stoneman, P. (ed.) Handbook of the Economics of Innovation and Technological Change. Cambridge [MA], Basil Blackwell, pp. 52-89

Griliches, Z. (1979): Issues in assessing the contribution of research and development to productivity growth, The Bell Journal of Economics 10(1), 92-116

Griliches, Z. and Mairesse, J. (1984): Productivity and R&D at the firm level, in Griliches Z. (ed) R&D, Patents and Productivity. Chicago and London, The University of Chicago Press, pp. 339-374

Harrigan, J. (1997): Technology, factor supplies and international specialization: Estimating the neoclassical model, American Economic Review 87, 475-494

Jaffe, A.B. (1986): Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits, and market value, American Economic Review 76(5), 984-1001

Jaffe, A.B., Trajtenberg, M. and Henderson, R. (1993): geographic localization of knowledge spillovers as evidenced by patent citations, Quarterly Journal of Economics 108(3), 577-598

Kapoor, M., Kelejian, H.H. and Prucha, I.R. (2007): Panel data models with spatially correlated error components, Journal of Econometrics 140, 97-130

Keller, W. (2002): Geographic localization of international technology diffusion, American Economic Review 92(1), 120–142

LeSage, J.P. and Fischer, M.M. (2007): Spatial growth regressions: Model specification, estimation and interpretation, Working paper, available at SSRN: http://ssrn.com/abstract=980965

Los, B. and Verspagen, B. (2000): R&D spillovers and productivity: Evidence from U.S. manufacturing microdata, Empirical Economics 25, 127-148

Mairesse, J. and Sassenou, M. (1991): R&D and productivity: A survey of econometric studies at the firm level, NBER Working Paper 3666, NBER Working Paper Series, National Bureau of Economic Research, Cambridge [MA]

Nadiri, M.I. (1970): Some approaches to the theory and measurement of total factor productivity: A survey, Journal of Economic Literature 8(4), 1137-1177

Park, W.G. (1995): International R&D spillovers and OECD economic growth, Economic Inquiry 33(4), 571-591

Press, W.H., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P. (1992): Numerical recipes in C. Cambridge, Cambridge University Press

Robbins, C.A. (2006): The impact of gravity-weighted knowledge spillovers on productivity in manufacturing, Journal of Technology Transfer 33, 45-60

Scherer, F.M. (1993): Lagging productivity growth: Measurement, technology and shock effects, Empirica 20, 5-24

Solow, R.M. (1957): Technical progress and the aggregate production function, Review of Economics and Statistics 39, 312-320

Wansbeek, T.J. and Kapteyn, A. (1983): A note on spatial decomposition and maximum likelihood estimation of ANOVA models with balanced data, Statistics and Probability Letters 1, 213-215