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 intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...

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...

Past literature has examined the importance of farm programs on the volatility and returns on general and agriculture economic growth. The objective of this study was to assess the impact of farm program payments on technical efficiency. The study used aggregate state level panel data from the...

The assumption of homogeneity between family and hired farm labor is common in farm labor research. Controlling for region and farm size, this study employs a seemingly unrelated regression analysis to jointly estimate a translog cost function and factor cost shares to determine the elasticity...

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)....

Replaced with revised version of paper 02/16/11.

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...

Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey

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’...