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Patents, R&D, And Market Structure In The U.S. Food Processing Industry

Listed author(s):
  • Gopinath, Munisamy
  • Vasavada, Utpal

This study investigates the effects of market structure and research and development (R&D) on the innovation activities of firms. Fixed and random effects count data models are estimated with firm-level data for the U.S. food processing industry. Results show a positive association between patents and R&D, and patents and market structure, suggesting that firms which exhibit noncompetitive behavior are likely to develop new products and processes. Significant intra-industry spillovers of knowledge are identified using industry R&D. For this industry, deadweight losses from imperfect competition may be offset by greater product variety and quality of food products for consumers.

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File URL: http://purl.umn.edu/30869
Download Restriction: no

Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 24 (1999)
Issue (Month): 01 (July)
Pages:

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Handle: RePEc:ags:jlaare:30869
Contact details of provider: Web page: http://waeaonline.org/

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  1. Perloff, Jeffrey M, 1991. "Econometric analysis of imperfect competition and implications for trade research," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt46w1j22d, Department of Agricultural & Resource Economics, UC Berkeley.
  2. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
  3. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
  4. Giancarlo Moschini & Harvey Lapan, 1997. "Intellectual Property Rights and the Welfare Effects of Agricultural R&D," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1229-1242.
  5. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
  6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
  7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  8. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
  9. Appelbaum, Elie, 1982. "The estimation of the degree of oligopoly power," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 287-299, August.
  10. repec:fth:harver:1473 is not listed on IDEAS
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