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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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uconnr:25230
DOI: 10.22004/ag.econ.25230
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