A Dynamic Analysis of University Agricultural Biotechnology Patent Production
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.
Year of publication: |
2003
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Authors: | Foltz, Jeremy D. ; Kim, Kwansoo ; Barham, Bradford |
Published in: |
American Journal of Agricultural Economics. - Agricultural and Applied Economics Association - AAEA. - Vol. 85.2003, 1, p. 187-197
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Publisher: |
Agricultural and Applied Economics Association - AAEA |
Saved in:
Online Resource
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