The objective of this study is to test the widely‐held belief that the effect of education has a positive impact on technology adoption. Using 2006 Agricultural Resource Management Survey "ARMS" data, we estimate a simultaneous equations model to integrate farmers’ labor allocation decision...

Most of the empirical literature in this area tends to analyze labor allocation decisions of economic agents using cross-sectional data. But such methods implicitly assume that model parameters are stable (constant) across firms and over time. The use of cross-sectional methods is therefore...

The objective of this study is to examine the effect of adoption intensity of GM crops on off‐farm labor supply by farm households. Using ARMS data in 2004, 2005 and 2006, we estimate a two stage simultaneous Tobit model and find that adoption intensity of GM crops has a negative impact on...

In the past three decades, farm families have relied on government payments and off-farm income to reduce income risk and increase total household income. Studies have shown that, as income effect dominates, government payments tend to reduce off-farm labor of farm operators and spouses. But...

According to Ricardian rent theory, the value of farm assets is equal to the discounted present value of future expected net rents from farm returns, and the discounted expected value of the land if converted to nonfarm development. Some recent research has considered modifying this standard...

In the era of a global economy, farmers face increasing pressure in developing a portfolio of various marketing channels. However, the literature on direct marketing strategies has mainly focused on consumers. Using farm-level data this study investigates factors associated with the choice of...

We employed the propensity score matching and estimated the causal effect of being certified organic crop producers on farm household income and its various components in the United States. Contrary to the standard assumption in economic analysis, certified organic farmers do not earn...

We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to understand why farmers do not adopt seemingly...

Farm succession by the “next generation” is a key factor in the determination of industry structure and the total number of farmers and has profound implications for farm families which rely heavily on intergenerational succession. Our results indicate that, in addition to farm, operator,...