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

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  • Gopinath, Munisamy
  • Vasavada, Utpal

Abstract

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.

Suggested Citation

  • Gopinath, Munisamy & Vasavada, Utpal, 1999. "Patents, R&D, And Market Structure In The U.S. Food Processing Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    • Handle: RePEc:ags:jlaare:30869
    DOI: 10.22004/ag.econ.30869
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    References listed on IDEAS

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    Cited by:

    1. Richards, Timothy J. & Padilla, Luis, 2001. "Commodity R&D, Patenting, And Promotion," 2001 Annual meeting, August 5-8, Chicago, IL 20497, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Morrison Paul, Catherine J., 2000. "Productivity And Efficiency In The U.S. Food System, Or, Might Cost Factors Support Increasing Mergers And Concentration?," Working Papers 11983, University of California, Davis, Department of Agricultural and Resource Economics.
    3. Pedro Andres Garzon Delvaux & Heinrich Hockmann & Peter Voigt & Pavel Ciaian & Sergio Gomez y Paloma, 2018. "The impact of private R&D on the performance of food-processing firms: Evidence from Europe, Japan and North America," JRC Research Reports JRC104144, Joint Research Centre.
    4. Grashuis, Jasper & Dary, Stanley Kojo, 2017. "An empirical investigation of patent and trademark ownership propensity and intensity in the U.S. food and drink industry," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
    5. Paxton, Kenneth W. & Mishra, Ashok K. & Chintawar, Sachin & Roberts, Roland K. & Larson, James A. & English, Burton C. & Lambert, Dayton M. & Marra, Michele C. & Larkin, Sherry L. & Reeves, Jeanne M. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(1), pages 133-144, April.
    6. Hockmann, Heinrich & Garzon Delvaux, Pedro Andres & Voigt, Peter & Ciaian, Pavel & Gomez y Paloma, Sergio, 2018. "Corporate R&D and the performance of food-processing firms: Evidence from Europe, Japan and North America," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(3), pages 233-247.
    7. Mark Vancauteren, 2018. "The effects of human capital, R&D and firm’s innovation on patents: a panel study on Dutch food firms," The Journal of Technology Transfer, Springer, vol. 43(4), pages 901-922, August.
    8. Bradley J. Rickard & Timothy J. Richards & Jubo Yan, 2016. "University licensing of patents for varietal innovations in agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 3-14, January.
    9. Richards, Timothy J. & Padilla, Luis, 2002. "Commodity R&D And Promotion," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(3), pages 1-15, December.
    10. Sizhong Sun & Sajid Anwar, 2018. "Product innovation in China’s food processing industries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 492-507, July.
    11. Shiping Mao & Marios Dominikos Kremantzis & Leonidas Sotirios Kyrgiakos & George Vlontzos, 2022. "R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era," Agriculture, MDPI, vol. 12(11), pages 1-19, November.

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