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...

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)....

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...

With increased focus on survival strategies for small farm businesses, we investigate the impact of Internet access on income and farm expenses of small farm business and households. Using a nation-wide farm-level data in the U.S. and non-parametric matching estimators, the study finds a...

Direct marketing strategies increasingly have been recognized as a viable business option in U.S. agriculture as they allow producers to receive a better price by selling products directly to consumers. The objective of this study is twofold. Using a national survey, we first estimated a...

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...

We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers’ decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision...