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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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    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.
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    4. Jeremy Foltz & Bradford Barham & Kwansoo Kim, 2000. "Universities and agricultural biotechnology patent production," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 82-95.
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    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.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

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