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A Dynamic Count Data Analysis of University Ag-Biotech Patents

Jeremy Foltz, Kwansoo Kim and Bradford L. Barham

No 25230, Research Reports from University of Connecticut, Food Marketing Policy Center

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)
Pages: 16
Date: 2001
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http://ageconsearch.umn.edu/record/25230/files/rr010056.pdf (application/pdf)

Related works:
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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Persistent link: https://EconPapers.repec.org/RePEc:ags:uconnr:25230

DOI: 10.22004/ag.econ.25230

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