A Dynamic Count Data Analysis of University Ag-Biotech Patents
AbstractThis 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.
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Bibliographic InfoPaper provided by University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy in its series Food Marketing Policy Center Research Reports with number 056.
Date of creation: 2001
Date of revision:
Research and Development/Tech Change/Emerging Technologies;
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