Abstract
— This paper analyzes the relationship between R&D activity, spillovers and productivity at the firm level. Particular attention is put on the formalization of technological spillovers. The analysis is based upon a new dataset composed of 625 worldwide R&D-intensive manufacturing firms whose information has been collected for the period 1987–1994. Given the panel data structure of the sample, ad hoc econometric techniques which deal with both firm’s unobserved heterogeneity and weak exogeneity of the right hand-side variables are implemented. The empirical results suggest that spillover effects influence significantly firm’s productivity. Nevertheless the effects differ substantially among the pillars of the Triad. The United States are mainly sensitive to their national stock of spillovers while Japan appears to draw from the international stock. On its side, Europe shows a tendency to internalize spillovers.
We wish to thank Bronwyn H. Hall, Jacques Mairesse, Pierre Mohnen, Bruno Van Pottelsberghe and two anonymous referees for helpful comments and suggestions. Thanks also to participants of the 10th International ADRES Conference on “The Economics and Econometrics of Innovation”, the ESEM96 and seminars at ULB and CREST-INSEE for useful discussions. Financial support of ULB is gratefully acknowledged. Remaining errors are solely ours.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arellano, M., Bond, S. (1991). — “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations”, Review of Economic Studies, 58, pp. 277–298.
Bernstein, J. I., Mohnen, P. (1995). — “International R&D Spillovers between US and Japanese R&D Intensive Sectors”, revision of Working Paper 4682, National Bureau of Economic Research, Cambridge.
Branstetter, L. (1996). — “Are Knowledge Spillovers International or Intranational in Scope? Microeconometric Evidence from the U.S. and Japan”, Working Paper 5800, National Bureau of Economic Research, Cambridge.
Cunéo, P., Mairesse, J. (1984). — “Productivity and R&D at the Firm Level in French Manufacturing ?”, in Z. Griliches (ed.), R&D, Patents and Productivity, Chicago : University of Chicago, pp. 375–392.
Griliches, Z., (1979). — “Issues in Assessing the Contribution of R&D to Productivity Growth”, Bell Journal of Economics, 10, pp. 92–116.
Griliches, Z. (1990). — “Patent Statistics as Economic Indicators: A Survey”, Journal of Economic Literature, 28, pp. 1661–1707.
Griliches, Z. (1992). — “The Search for R&D Spillovers”, Scandinavian Journal of Economics, 94, pp. 29–48.
Griliches, Z., Lichtenberg, F. (1984). — “R&D and Productivity at the Industry Level : Is There Still a Relationship”, in Z. Griliches (ed.), R&D, Patents and Productivity, Chicago: University of Chicago, pp. 462–501.
Griliches, Z., Mairesse, J. (1984). — “Productivity and R&D at the Firm Level”, in Z. Griliches (ed.), R&D, Patents and Productivity, Chicago: University of Chicago, pp. 339–368.
Griliches, Z., Mairesse, J. (1995). — “Production Functions: The Search for Identification”, Working Paper 5067, National Bureau of Economic Research, Cambridge.
Hall, B. H., Mairesse, J. (1995). — “Exploring the Relationship between R&D and Productivity in French Manufacturing Firms”, Journal of Econometrics, 65, pp. 263–93.
Jaffe, A. B. (1986). — “Technological Opportunity and Spillovers of R&D”, American Economic Review, 76, pp. 984–1001.
Jaffe, A. B. (1988). — “R&D Intensity and Productivity Growth”, Review of Economics and Statistics, 70, pp. 431–437.
Keane, M., Runkle, D. (1992). — “On the Estimation of Panel Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous”, Journal of Business and Economic Statistics, 10, pp. 1–9.
Lebart, L., Morineau, A., Fenélon, J. P. (1979). — Traitement des données statistiques, Dunod.
Mairesse, J., Hall, B. H. (1996). — “Estimating the Productivity of Research and Development : An Exploration of GMM Methods Using Data on French and United States Manufacturing Firms”, Working Paper 5501, National Bureau of Economic Research, Cambridge.
Mairesse, J., Sassenou, M. (1991). — “Recherche-Développement et Productivité: Un Panorama des Etudes Econométriques sur Données d’Entreprises”, STI Revue, pp. 9–45.
Milligan, G., Cooper, M. (1985). — “An Examination of Procedures for Determining the Number of Clusters in a data set”, Psychometrika, 50, pp. 159–179.
Mohnen, P. (1996). — “R&D Externalities and Productivity Growth “, STI review, pp. 39–66.
Robson, M., Towsend, J., Pavitt, K. (1988). — “Sectoral Patterns and Use of Innovations in the UK: 1945–1983”, Research Policy, 17, pp. 1–14.
Schankerman, M. (1981). — “The Effects of Double-Counting and Expensing on the Measured Returns to R&D”, Review of Economics and Statistics, 63, pp. 454–458.
Scherer, F. M. (1982). — “Demand-Pull and Technological Innovation: Schmookler Revisited”, Journal of Industrial Economics, 30, pp. 225–238.
Spence, A. M. (1984). — “Cost Reduction, Competition, and Industry Performance”, Econometrica, 52, pp. 101–122.
Terleckyj, N. (1974). — “Effects of R&D on the Productivity Growth of Industries: An Exploratory Study”, National Planning Association, Washington, D.C.
Terleckyj, N. (1980). — “Direct and Indirect Effects of Industrial Research and Development on the Productivity Growth of Industries”, in J.N. Kendrick and B.N. Vacara (eds.), New developments in Productivity Measurement and Analysis, University of Chicago Press, Chicago.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Capron, H., Cincera, M. (2000). Exploring the Spillover Impact on Productivity of World-Wide Manufacturing Firms. In: The Economics and Econometrics of Innovation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3194-1_22
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3194-1_22
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4971-4
Online ISBN: 978-1-4757-3194-1
eBook Packages: Springer Book Archive