A Dynamic Analysis of University Agricultural Biotechnology Patent Production
用动态计数数据模型分析大学农业生物技术专利成功的影响因素，发现土地赠予基础设施、优质师资、专利导向的技术转移办公室以及动态反馈效应至关重要。
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.