A Dynamic Analysis of University Agricultural Biotechnology Patent Production

Jeremy D. Foltz, Kwansoo Kim and Bradford Barham

American Journal of Agricultural Economics, 2003, vol. 85, issue 1, pages 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 American Agricultural Economics Association.

Date: 2003
View citations in EconPapers

Downloads: (external link)
http://www.blackwell-synergy.com/servlet/useragent ... &year=2003&part=null link to full text (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0002-9092

Access Statistics for this article

American Journal of Agricultural Economics is edited by Peter Berck, Robert J. Myers, Ian M. Sheldon and B. Wade Brorsen

More articles in American Journal of Agricultural Economics from American Agricultural Economics Association
Series data maintained by Christopher F. Baum ().