2003/02/01 by Jeremy D. Foltz, Kwansoo Kim, Bradford Barham +1 · 51 citations
Business, Management and Accounting · Economics, Econometrics and Finance · #Agricultural biotechnology #Agricultural productivity #Agriculture #Biology #Biotechnology #Business #Ecology #Econometric analysis #Econometric model #Econometrics #Economics #Entrepreneurship Studies and Influences #Industrial organization #Innovation Policy and R&D #Intellectual Property and Patents #International trade #Macroeconomics #Microeconomics #Production (economics) #Quality (philosophy) #Technological change #Technology transfer
paper · doi:10.1111/1467-8276.00112
published in American Journal of Agricultural Economics 85(1), 187-197 (Wiley)
openalex publication_date 2003/02/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26
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.