Firms' Productivity Growth and R&D Spillovers: An Analysis of Alternative Technological Proximity Measures

32 Pages Posted: 27 May 2005  

Michele Cincera

Université Libre de Bruxelles (ULB) - Solvay Brussels School of Economics and Management

Date Written: February 2005

Abstract

This paper aims at assessing the impact of R&D spillovers on firms' economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1986, 1988), which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms' technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms' own R&D capital, labor and physical capital are estimated by means of a Cobb-Douglas production function. The data set consists of a representative sample of 625 worldwide R&D-intensive firms over the period 1987-1994.

Keywords: R&D Spillovers, productivity growth, panel data, clustering

JEL Classification: O12, O33, O47

Suggested Citation

Cincera, Michele, Firms' Productivity Growth and R&D Spillovers: An Analysis of Alternative Technological Proximity Measures (February 2005). CEPR Discussion Paper No. 4894. Available at SSRN: https://ssrn.com/abstract=730584

Michele Cincera (Contact Author)

Université Libre de Bruxelles (ULB) - Solvay Brussels School of Economics and Management ( email )

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