Measuring Intersectoral Knowledge Spillovers: an Application of Sensitivity Analysis to Italy
AbstractR&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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Institute for Economic Research on Firms and Growth - Moncalieri (TO) in its series CERIS Working Paper with number 200711.
Length: 36 pages
Date of creation: Dec 2007
Date of revision:
R&D spillovers; Input-output models; Sensitivity analysis; Monte Carlo simulations;
Other versions of this item:
- Giovanni Cerulli & Bianca Poti`, 2009. "Measuring Intersectoral Knowledge Spillovers: An Application Of Sensitivity Analysis To Italy," Economic Systems Research, Taylor & Francis Journals, vol. 21(4), pages 409-436.
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-03-15 (All new papers)
- NEP-INO-2008-03-15 (Innovation)
- NEP-KNM-2008-03-15 (Knowledge Management & Knowledge Economy)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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, 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.
- 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).
- 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.
- 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.
- Zvi Griliches, 1998.
"Interindustry Technology Flows and Productivity Growth: A Reexamination,"
in: R&D and Productivity: The Econometric Evidence, pages 241-250
National Bureau of Economic Research, Inc.
- 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.
- Erik Dietzenbacher & Bart Los, 2002. "Externalities of R&D Expenditures," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 407-425.
- Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Enrico Viarisio) or (Anna Perin) or (Giancarlo Birello).
If references are entirely missing, you can add them using this form.