Data/hora: 10/06/2024 04:50:20

Provedor de dados: 	31	
País: 	United States	
Título: 	A Dynamic Count Data Analysis of University Ag-Biotech Patents	
Autores: 	Foltz,   Jeremy D.; Kim,   Kwansoo; Barham,   Bradford L.	
Data: 	2006-02-28	
Ano: 	2001	
Palavras-chave: 	Research and Development/Tech Change/Emerging Technologies.	
Resumo: 	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.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	20097

http://purl.umn.edu/25230	
Editor: 	AgEcon Search	
Relação: 	University of Connecticut&gt;Food Marketing Policy Center&gt;Research Reports

Research Report No. 56	
Formato: 	16

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