A revealed-preference-based method is proposed for assessment of the environmental and human health impact of genetically engineered (GE) crops. This method employs the relative pesticide toxicity information from farmers' pesticide choices combined with volume of pesticides as an alternative to...

Pesticide productivity is both important and difficult to measure. Typically, pesticide marginal products are estimated without information on the pest pressure. Three theoretical models are developed which suggest absence of such information may cause an underestimation of pesticide...

Adoption of precision agriculture technology has arrived considerable attention, but abandonment has received little. This paper identified factors motivating adoption and abandonment of precision soils sampling in cotton. Younger producers who farmed more cotton area, owned more of their...

This research evaluated the factors that influenced cotton producers to adopt remote sensing for variable rate application of inputs. Farmers who were younger, more highly educated, had a larger farm operation, and were more technologically savvy were more likely to have adopted remote sensing.

A revealed-preference approach is proposed for the evaluation of the impact of changed patterns of herbicide use on RR soybeans. The results indicate that farmers consider herbicide safety in their herbicide choices and associate positive values with safety improvements. The aggregate welfare...

This research analyzed the adoption of Personal Digital Assistants (PDA) and handheld Global Positioning System (GPS) devices in cotton production. Analysis using a logit model found that younger farmers who used a crop consultant, remote-sensing, variable-rate fertilizer, and reported greater...

Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is...

This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies. Utilizing cross-section survey data from 12 Southeastern states and a two-step econometric modeling approach, we find that farmers who...

The general objective of this study was to analyze the effect of labeling information on farmers’ herbicide choice. Herbicide choices made by farmers were used to estimate their willingness to pay for different herbicide attributes. Estimation results indicate that human health and...