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R&D Spillovers: Evidence from U.S. Food Processing, Farm Machinery and Agricultural Sectors

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  • Munisamy Gopinath
  • Terry Roe
Abstract
This paper computes private and social rates of return to R&D capital in the three vertically linked sectors, primary agriculture, food processing, and the farm machinery in the United States. Using a cost function approach, the private rates of return to R&D ranged from an average of 21.5% per annum for farm machinery to 87.5% for agriculture. The social rates of return to R&D in food processing and farm machinery are larger than the private rates due to spillovers. We find that spillovers from public agricultural R&D mitigates the market's failure in farm machinery to fully appropriate the returns to its R&D capital.

Suggested Citation

  • Munisamy Gopinath & Terry Roe, 2000. "R&D Spillovers: Evidence from U.S. Food Processing, Farm Machinery and Agricultural Sectors," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(3), pages 223-244.
    • Handle: RePEc:taf:ecinnt:v:9:y:2000:i:3:p:223-244
    DOI: 10.1080/10438590000000009
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    References listed on IDEAS

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    1. Fuglie, Keith & Ballenger, Nicole & Rubenstein, Kelly Day & Klotz, Cassandra & Ollinger, Michael & Reilly, John & Vasavada, Utpal & Yee, Jet, 1996. "Agricultural Research and Development: Public and Private Investments Under Alternative Markets and Institutions," Agricultural Economic Reports 262031, United States Department of Agriculture, Economic Research Service.
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    3. Ruttan, Vernon W., 1987. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 12(3), pages 196-216, August.
    4. Ruttan, Vernon W. & Hayami, Yujiro, 1971. "Technology Transfer And Agricultural Development," Staff Papers 13993, University of Minnesota, Department of Applied Economics.
    5. Jeffrey I. Bernstein, 1996. "International R&D Spillovers between Industries in Canada and the United States, Social Rates of Return and Productivity Growth," Canadian Journal of Economics, Canadian Economics Association, vol. 29(s1), pages 463-467, April.
    6. Diao, Xinshen & Roe, Terry L., 1996. "A Dynamic CGE Model of R&D Based Growth in the U.S. Economy: An Experiment Using the New Growth Theory," 1996: Implications of the New Growth Theory to Agricultural Trade Research and Trade Policy Conference, December 1996, Washington DC 50866, International Agricultural Trade Research Consortium.
    7. Diao, Xinshen & Elbasha, Elamin H. & Roe, Terry L. & Yeldan, A. Erinc, 1996. "A Dynamic CGE Model: An Application of R&D- Based Endogenous Growth Model Theory," Bulletins 7461, University of Minnesota, Economic Development Center.
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    Cited by:

    1. Venturini, Luciano, 2006. "Vertical competition between manufacturers and retailers and upstream incentives to innovate and differentiate," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10050, European Association of Agricultural Economists.
    2. 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.
    3. van Berkum, Siemen & van Meijl, Hans, 2000. "The application of trade and growth theories to agriculture: a survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(4), pages 1-38.
    4. Wang, S. & An, H. & Chang, W.-Y. & Gaston, C., 2018. "The economic effect of genomic technology on the forestry industry," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277443, International Association of Agricultural Economists.
    5. Andersen, Matthew A., 2019. "Knowledge productivity and the returns to agricultural research: a review," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.

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