A Dynamic Analysis of University Agricultural Biotechnology Patent Production

Jeremy Foltz, Kwansoo Kim and Bradford Barham

American Journal of Agricultural Economics, 2003, vol. 85, issue 1, 187-197

Abstract: This article examines the factors that account for agricultural biotechnology 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 agricultural biotechnology patent production of land grant infrastructure, quality faculty, patent-oriented technology transfer offices, as well as dynamic feedback effects. Copyright 2003, Oxford University Press.

Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:85:y:2003:i:1:p:187-197

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