Technology Spillovers between Sectors and over Time.

Technology spillovers are an important source of economic growth. This article presents a new method to measure technology spillovers at the macroeconomic or sectoral level by means of a so-called technology flow matrix. The main novelty relative to existing technology flow matrices is that the matrix in this article provides insight into the time dimension of the spillover process. The matrix is used to assess whether or not R&D spillovers lead to a more equal distribution of technology investment over sectors. © 1999 Elsevier Science Inc.

[1]  B. Lundvall.  National Systems of Innovation , 1992 .

[2]  Samuel Kortum,et al.  Assigning Patents to Industries: Tests of the Yale Technology Concordance , 1997 .

[3]  Paul E. Green,et al.  Multidimensional Scaling: Concepts and Applications , 1989 .

[4]  Bart Verspagen,et al.  MERIT concordance table: IPC - ISIC (rev.2) , 1994 .

[5]  Z. Griliches.  The Search for R&D Spillovers , 1991 .

[6]  Bait Verspagen,et al.  Estimating international technology spillovers using technology flow matrices , 1997 .

[7]  Bart Verspagen,et al.  R&D spillovers and productivity: Evidence from U.S. manufacturing microdata , 2000 .

[8]  Bengt-Åke Lundvall,et al.  National Systems of Innovation: towards a theory of innovation and interactive learning London: Pint , 1995 .

[9]  David Simpson,et al.  The Fundamental Structure of Input-Output Tables, An International Comparison , 1965 .

[10]  B. Los.  The impact of Research & Development on economic growth and structural change , 1999 .

[11]  Luc Soete,et al.  Exports and technology in manufacturing industry , 1991 .

[12]  Daniele Archibugi,et al.  The inter-industry distribution of technological capabilities. A case study in the application of the Italian patenting in the U.S.A. , 1988 .

[13]  H. Grupp.  Spillover effects and the science base of innovations reconsidered: an empirical approach , 1996 .

[14]  Bart Verspagen,et al.  Measuring intersectoral technology spillovers estimates from the European and US patent office databases , 1997 .

[15]  Zvi Griliches,et al.  Issues in Assessing the Contribution of Research and Development to Productivity Growth , 1979 .

[16]  Göran Östblom.  Use of the convergence condition for triangularizing input-output matrices and the similarity of production structures among Nordic countries 1970, 1980 and 1985 , 1997 .

[17]  P. Stoneman,et al.  The Economic Analysis of Technological Change , 1983 .

[18]  Frederic M. Scherer,et al.  Inter-Industry Technology Flows and Productivity Growth , 1982 .

[19]  Bart Verspagen,et al.  Endogenous innovation in neoclassical growth models: A survey , 1992 .

[20]  P. David.  The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox , 1990 .

[21]  Z. Griliches.  Patent Statistics as Economic Indicators: a Survey , 1990 .

[22]  R. Nelson.  National Innovation Systems: A Comparative Analysis , 1993 .

[23]  Daniel A. Levinthal,et al.  Innovation and Learning: The Two Faces of R&D , 1989 .

[24]  R. Nelson,et al.  National Innovation Systems , 1993 .