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A Dynamic Count Data Analysis of University Ag-Biotech Patents

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

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

  • Jeremy D. Foltz & Kwansoo Kim & Bradford L. Barham, 2001. "A Dynamic Count Data Analysis of University Ag-Biotech Patents," Food Marketing Policy Center Research Reports 056, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
  • Handle: RePEc:zwi:fpcrep:056
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    File URL: http://fmpc.uconn.edu/publications/rr/rr56.pdf
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    References listed on IDEAS

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    1. Richard E. Just & Wallace E. Huffman, 1992. "Economic Principles and Incentives: Structure, Management, and Funding of Agricultural Research in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(5), pages 1101-1108.
    2. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    3. Jeremy Foltz & Bradford Barham & Kwansoo Kim, 2000. "Universities and agricultural biotechnology patent production," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 82-95.
    4. 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.
    5. 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.
    6. 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.
    7. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," Review of Economic Studies, Oxford University Press, 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. repec:wsi:ijimxx:v:19:y:2015:i:03:n:s1363919615400010 is not listed on IDEAS
    3. repec:spr:scient:v:70:y:2007:i:2:d:10.1007_s11192-007-0202-9 is not listed on IDEAS
    4. 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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