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A Dynamic Count Data Analysis of University Ag-Biotech Patents

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  • Foltz, Jeremy D.
  • Kim, Kwansoo
  • Barham, Bradford L.

Abstract

This paper examines the factors that account for ag-biotech patenting success among universities using a dynamic count data model. It builds a theoretical and econometric model to capture the inherently dynamic and nonlinear process of technological innovation, wherein a feedback mechanism from previous success partially determines current patent counts. The econometric estimates reveal the importance to ag-biotech patent production of land grant infrastructure, quality faculty, state and institutional funding, patent-oriented technology transfer offices, as well as dynamic feedback effects.

Suggested Citation

  • Foltz, Jeremy D. & Kim, Kwansoo & Barham, Bradford L., 2001. "A Dynamic Count Data Analysis of University Ag-Biotech Patents," Research Reports 25230, University of Connecticut, Food Marketing Policy Center.
  • Handle: RePEc:ags:uconnr:25230
    DOI: 10.22004/ag.econ.25230
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    References listed on IDEAS

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    1. 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.
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    4. Julian M. Alston & Philip G. Pardey & Jennifer S. James & Matthew A. Anderson, 2009. "The Economics of Agricultural R&D," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 537-566, September.
    5. Jeremy Foltz & Bradford Barham & Kwansoo Kim, 2000. "Universities and agricultural biotechnology patent production," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 82-95.
    6. Pakes, Ariel S, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," Econometrica, Econometric Society, vol. 54(4), pages 755-784, July.
    7. Zilberman, David & Yarkin, Cherisa & Heiman, Amir, 1997. "Agricultural Biotechnology: Economic and International Implications," 1997 Conference, August 10-16, 1997, Sacramento, California 197037, International Association of Agricultural Economists.
    8. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    9. Julian M. Alston & Philip G. Pardey, 1996. "Making Science Pay: The Economics of Agricultural R&D Policy," Books, American Enterprise Institute, number 53242, September.
    10. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
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    Cited by:

    1. Bradford Barham & Jeremy Foltz & Kwansoo Kim, 2002. "Trends in University Ag-Biotech Patent Production," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 294-308.
    2. Leila Tahmooresnejad & Catherine Beaudry, 2015. "Does Government Funding Have The Same Impact On Academic Publications And Patents? The Case Of Nanotechnology In Canada," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-16.
    3. Joaquín Azagra-Caro & Nicolas Carayol & Patrick Llerena, 2006. "Patent Production at a European Research University: Exploratory Evidence at the Laboratory Level," The Journal of Technology Transfer, Springer, vol. 31(2), pages 257-268, March.
    4. Joaquín M. Azagra-Caro & Fragiskos Archontakis & Alfredo Yegros-Yegros, 2007. "In which regions do universities patent and publish more?," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 251-266, February.
    5. Branco Ponomariov, 2008. "Effects of university characteristics on scientists’ interactions with the private sector: an exploratory assessment," The Journal of Technology Transfer, Springer, vol. 33(5), pages 485-503, October.

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