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A Dynamic Count Data Analysis of University Ag-Biotech Patents

Jeremy Foltz, Kwansoo Kim and Bradford L. Barham

No 56, Food Marketing Policy Center Research Reports from University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy

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.

Keywords: Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2001
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Working Paper: A Dynamic Count Data Analysis of University Ag-Biotech Patents (2001) Downloads
Working Paper: A Dynamic Count Data Analysis of University Ag-Biotech Patents (2001) Downloads
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