Genetically modified corn seed companies have innovated continuously with the introduction of new traits and, more recently, with the creation of stacked varieties. Thiswork develops a Bayesian model of adoption that demonstrates how uncertainty with a package technology can lead to a sequential...

Little empirical research has explored the factors accounting for patenting success among universities in the ag-biotech realm. In this study, patent production acts as a measure of intellectual property rights production in ag-biotech, assuming that patent production is a primary goal of...

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...

This work exploits information on U.S. patents to identify trends in university ag-biotech patenting and citation performance. It sets forth some key issues concerning patterns of university ag-biotech patenting and then provides an empirical analysis of the evolving trends. Land grant...

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin...