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In search of lost disincentive effect from intra-industry spillovers

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Author Info
Stéphane Lhuillery () (Chaire en Economie et Management de l'Innovation, Collège du Management de la Technologie, Ecole Polytechnique Fédérale de Lausanne)

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Abstract

Standard innovation surveys do not consider incoming spillovers for non-innovative firms. The Swiss innovation surveys presented here measure the importance of competitors' knowledge for both innovating and noninnovating firms. This original feature not only enables us to accurately identify the role of incoming knowledge on R&D decisions and innovation output, but also to compare resulting data with those which standard innovation questionnaires provide. Using a panel data over four periods, we show that knowledge from rivals actually deters manufacturing firms from engaging in R&D activities. Moreover, we provide stronger evidence that intra-industry spillovers are more detrimental to innovation than that generally provided by data from standard surveys. The results suggest that the dominance of the absorptive capacity effect is more important to firms investing in R&D and that non-innovative firms rely more heavily than expected on their competitors to maintain their technological capacities.

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Paper provided by Ecole Polytechnique Fédérale de Lausanne, Collège du Management de la Technologie, Management of Technology and Entrepreneurship Institute, Chaire en Economie et Management de l'Innovation in its series CEMI Working Papers with number cemi-workingpaper-2009-005.

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Date of creation: Mar 2009
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Handle: RePEc:cmi:wpaper:cemi-workingpaper-2009-005

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Related research
Keywords: intra-industry spillovers; absorption; innovation survey;

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Find related papers by JEL classification:
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data

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  1. Julio Raffo & Stephane Lhuillery & Luis Miotti, 2008. "Northern and southern innovativity: a comparison across European and Latin American countries," European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 219-239. [Downloadable!] (restricted)
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  2. Jan Eeckhout & Boyan Jovanovic, 2002. "Knowledge Spillovers and Inequality," American Economic Review, American Economic Association, vol. 92(5), pages 1290-1307, December. [Downloadable!]
  3. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(1987-3), pages 783-832. [Downloadable!]
  4. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  5. Sickles, Robin C & Taubman, Paul, 1986. "An Analysis of the Health and Retirement Status of the Elderly," Econometrica, Econometric Society, vol. 54(6), pages 1339-56, November. [Downloadable!] (restricted)
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  6. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2007. "Identifying Technology Spillovers and Product Market Rivalry," NBER Working Papers 13060, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  7. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press, vol. 22(4), pages 483-498, Winter.
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This page was last updated on 2009-11-27.

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