Most technology adoption research has focused on crops. Primary data were used to determine differences in management practices among two groups of Oklahoma cow-calf producers based on herd size and cattle income dependence. Significant differences were noted between two groups of producers...

Corn producers are the largest users of cropland and agrichemicals in U.S. agriculture, and represent a major market for precision agriculture technologies. Based on a USDA survey of 950 corn-producing farms, approximately 9% utilized some aspect of precision agriculture for corn production in...

Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming...

Traceability, the ability to trace the origin of products throughout the supply chain, has become an instrument to assure food quality and safety in agri-food chains. This process is organized within both institutional and market constraints, yet it integrates also a technological sphere marked...

We estimate a bivariate probit model with sample selection to identify factors affecting adoption and abandonment of precision farming technologies for cotton farmers, using the 2009 Southern Cotton Precision Farming Survey conducted in 12 Southern states in the United States. Farmers for whom...

Entrepreneurship means making discrete changes in livelihood activities that involve substantial risks to income. While the rewards may be substantial, transactions costs may make decisions irreversible. This paper draws a comparison between entrepreneurship and technology adoption. Adopting a...

Investigation of size wage premium in earning’s literature neglects the important role played by technology adoption. This study models the size selection corrected earning’s function by introducing an extra dimension of selection of technology complexity, using a sample from workers in US...

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 employed a probit model to identify the factors that influence the willingness of farmers in northern Ghana to adopt improved peanut varieties. A cross-sectional data of 206 peanut farmers from the Tamale Metropolitan, Tolon-Kumbungu and Savelugu-Nanton districts in the northern...

We collected surveys from 94 greenhouse and nursery growers in three northeastern states to examine factors influencing integrated pest management (IPM) adoption. We constructed three alternative dependent variables describing the extent of IPM adoption and employed discrete choice models to...