Measuring Intersectoral Knowledge Spillovers: an Application of Sensitivity Analysis to Italy
R&D spillovers are unanimously considered as one of the main driving forces of technical change, innovation and economic growth. This paper aims at measuring inter-industrial R&D spillovers, as a useful information for policy-makers. We apply an “uncertainty-sensitivity analysis” to the Italian input-output table of intermediate goods split into 31 economic sectors for the year 2000. The value added of using this methodology is the opportunity of distinguishing (separately) between spillover effects induced by productive linkages (the Leontiev forward multipliers) and those activated by R&D investments, capturing also the uncertain and non-linear nature of the relations between spillovers and factors affecting them.
|Date of creation:||Dec 2007|
|Date of revision:|
|Contact details of provider:|| Postal: Via Real Collegio, 30 10024 - Moncalieri TO|
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- Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
- Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-34, November.
- Ina Drejer, 2000. "Comparing Patterns of Industrial Interdependence in National Systems of Innovation - A Study of Germany, the United Kingdom, Japan and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 377-399.
- Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
- Bart Los & Bart Verspagen, 2000. "R&D spillovers and productivity: Evidence from U.S. manufacturing microdata," Empirical Economics, Springer, vol. 25(1), pages 127-148.
- Erik Dietzenbacher & Bart Los, 2002. "Externalities of R&D Expenditures," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 407-425.
- Goto, Akira & Suzuki, Kazuyuki, 1989. "R&D Capital, Rate of Return on R&D Investment and Spillover of R&D in Japanese Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 555-64, November.
- Roland-Holst, D.W. & Sancho, F., 1991.
"Ralative Income Determination in the United States: A Social Accounting Perspective,"
UFAE and IAE Working Papers
188.92, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- Roland-Holst, David W & Sancho, Ferran, 1992. "Relative Income Determination in the United States: A Social Accounting Perspective," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 38(3), pages 311-27, September.
- Griliches, Zvi & Lichtenberg, Frank, 1984.
"Interindustry Technology Flows and Productivity Growth: A Re-examination,"
The Review of Economics and Statistics,
MIT Press, vol. 66(2), pages 324-29, May.
- Zvi Griliches, 1998. "Interindustry Technology Flows and Productivity Growth: A Reexamination," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 241-250 National Bureau of Economic Research, Inc.
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