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Measuring Intersectoral Knowledge Spillovers: an Application of Sensitivity Analysis to Italy

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Author Info
Cerulli Giovanni () (Ceris - Institute for Economic Research on Firms and Growth, Rome, Italy)
Potì Bianca () (Ceris - Institute for Economic Research on Firms and Growth, Rome, Italy)

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Abstract

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.

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Publisher Info
Paper provided by Institute for Economic Research on Firms and Growth - Moncalieri (TO) in its series CERIS Working Paper with number 200711.

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Length: 36 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:csc:cerisp:200711

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Related research
Keywords: R&D spillovers; Input-output models; Sensitivity analysis; Monte Carlo simulations;

Find related papers by JEL classification:
O32 - Economic Development, Technological Change, and Growth - - Technological Change - - - Management of Technological Innovation and R&D
C67 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Input-Output Models
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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References listed on IDEAS
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.:
  1. Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor and Francis Journals, vol. 15(3), pages 327-358, September. [Downloadable!] (restricted)
  2. 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. [Downloadable!] (restricted)
  3. Roland-Holst, David W & Sancho, Ferran, 1992. "Relative Income Determination in the United States: A Social Accounting Perspective," Review of Income and Wealth, Blackwell Publishing, vol. 38(3), pages 311-27, September.
    Other versions:
  4. 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. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
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  6. Erik Dietzenbacher & Bart Los, 2002. "Externalities of R&D Expenditures," Economic Systems Research, Taylor and Francis Journals, vol. 14(4), pages 407-425, December. [Downloadable!] (restricted)
  7. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring. [Downloadable!] (restricted)
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  8. 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. [Downloadable!] (restricted)
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