Abstract
Using patent data, this work provides an initial empirical investigation into university production of agricultural biotechnology patents. We develop a consistent theoretical methodology for understanding the university patent production process and then estimate count data econometric models of university-owned agricultural biotechnology patents on a series of explanatory variables. The zero inflated negative binomial econometric model used allows inclusion of all major universities, rather than merely those dedicated to agricultural research. The results demonstrate the importance of the US land grant university infrastructure, technology transfer offices, and star scientists. [JEL Codes: L300- Nonprofit Organizations and Public Enterprise: General Q160- Agricultural Technology: Agricultural Extension Services C240- Econometric Methods: Single Equation Models: Truncated and Censored Models] © 2000 John Wiley & Sons, Inc.
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