This paper uses data from dairy farmers in six U.S. states to examine farm-level factors influencing the adoption of recombinant bovine somatatropin (rBST), a productivity-enhancing hormone that is injected in cows. The results of multinomial logit estimations of rBST adoption and disadoption...

This article exploits panel data from Wisconsin dairy farmers to examine the dynamics of recombinant bovine somatotropin (rBST) adoption and to identify the characteristics that distinguish among nonadopters, disadopters, and early and late adopters. Panel methods are used to control for omitted...

Trends and determinants in the adoption of recombinant bovine somatotropin are examined using data from across the United States. The core findings are: (a) moderate adoption rates and relatively small impacts on national milk production; (b) substantial disadoption, farmers who have tried the...

This article exploits panel data from Wisconsin dairy farmers to examine the dynamics of recombinant bovine somatotropin (rBST) adoption and to identify the characteristics that distinguish among nonadopters, disadopters, and early and late adopters. Panel methods are used to control for omitted...

This paper explores the dynamics of rBST adoption using panel data from Wisconsin dairy farmers that span the period from its commercial introduction in 1994 to 2001. The panel data allow an examination of a broader range of adoption behavior that includes disadoption, early and late adoption,...

Using farm data from three dairy-dependent communities in Wisconsin, this study addresses the question: Do small farms spend more locally than large farms? The work develops a theoretical model of farm cost functions with transaction costs varying between local and distant input sources. This...

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 on the evolving trends. Land Grant...

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...

This work analyzes the evolution of time allocation for agricultural and life science faculty in Tier 1 US research universities from 1975 to 2005. Specifically, it explores the trends with respect to time spent on research versus administrative activities, and shows about a 20% decline in the...

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