Precision agriculture and autosteer technology are, overall, profitable investments for farmers, as previous literature has established. However, what has not been investigated is whether or not farmers perceive these technologies as such. This research postulates that cotton farmers must see...

This study compares farm operators’ risk perceptions and actual realization of risk attitudes revealed through off-farm labor, enterprise diversification, and use of contracts, crop insurance, and other types of insurance, using data from 2001 Agricultural Resource Management Survey (ARMS)....

Climatic conditions and weather play an important role in production agriculture. Using district level panels for 42 years from India and dynamic panel estimation procedure we estimate the impact of weather risk on cropping intensity. Our non-stationary and dynamic panel model results suggest...

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...

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...

Agritourism is an alternative source of farm income. We examine farmers’ participation in agritourism activities to assess the impact of participation on farm household income and return to assets using a large farm-level survey. The results reveal that older, educated, and female...

Contact author to request a copy of this paper.

Farm operators and spouses have increasingly engaged in off-farm work in recent years. Many studies have analyzed the role of government payments; however, little is known about the impact of health insurance coverage. This study builds on previous literature by using copulas to test for...

The objective of this study is to estimate the net effect of education on technology adoption for U.S. farmers. Using 2006 Agricultural Resource Management Survey data, this study develops a simultaneous equations model to integrate farmers’ labor allocation decision with adoption of both time...