Data/hora: 06/06/2024 03:36:39

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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