A Dynamic Count Data Analysis of University Ag-Biotech Patents
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.
|Date of creation:||2001|
|Contact details of provider:|| Postal: 1376 Storrs Road, U-21, Storrs, Connecticut 06269-4021|
Web page: http://www.zwickcenter.uconn.edu
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:zwi:fpcrep:056. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.