A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDT) and the adoption of Variability Rate application Technology (VRT) conditioned on the type...

We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to understand why farmers do not adopt seemingly...

Agricultural technology adoption is often a sequential process. Farmers may adopt a new technology in part of their land first and then adjust in later years based on what they learn from the earlier partial adoption. This paper presents a dynamic adoption model with Bayesian learning, in which...

This study examines the impact of adopting Bt corn on farm profits, yields, and insecticide use. The study employs an econometric model that corrects for self-selection and simultaneity. The model is estimated using nationwide farm-level survey data for 2005. Regression analysis confirms that Bt...

Exogenous, unobserved factors often confound the effects of alliance networks. More capable farmers might be less likely to exit and more likely to have a large number of alliances. In this case the negative correlation between alliance network size and exit likelihood is due to the unobserved...

Technology and innovation play an increasingly important role in the economic development of both developed and developing countries. We investigate how policy and market factors influence firms’ (or other potential innovators’) decisions on innovation or imitation by developing a conceptual...

Recent studies in the literature examining impact of government seed price intervention on adoption of Bt cotton get different results depending on the specifics of the situation analyzed. According to one study, reduction in seed prices enables farmers to buy seeds at lower prices and this can...

Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’...

Prior research identifies a direct positive link between the stock of public scientific knowledge and agricultural productivity; however, an indirect contribution to agricultural productivity is also possible when this stock facilitates private sector invention. This study examines how...