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...

Producers lack information about the profitability of variable rate technology (VRT) for agricultural sprayers. An economic framework was developed to evaluate the returns required to pay for VRT investments. Payback variables included input savings, yield gains, and reduced application costs....

Specialty crop agriculture may be affected by immigration reform given that most farm workers are foreign-born and unauthorized for U.S. employment. Controlling for selection on legal status and job type according to skill level, this research examines the wage effects for workers with different...

Specialty crop farmers have expressed concern about labor shortages and cost increases which may arise with immigration reform. The large-scale mechanization of the Florida sugarcane harvest during the 1970s/80s serves as an historical example of how technologies evolved due to changes in local...

A cost function approach of induced innovation is used to measure the biases in U.S. agricultural technology between 1969-1999. The rate of technological change is explained by socioeconomic variables. The post-IRCA results show that an increasingly illegal workforce significantly induces...

The prospect of immigration policy reform has renewed growers’ concerns of serious labor shortages and cost increases given that a large portion of the workforce is unauthorized for U.S. employment. This concern of labor shortages and cost increases is more serious for specialty crop...

Immigration reform may significantly impact the specialty crops sector since more than half of the workforce is foreign-born and undocumented. Based on data from the National Agricultural Workers Survey, the trends pertaining to workers' legal status, employment and wage rates in the U.S. and...

Using National Agricultural Workers Survey data, we estimate U.S. farm worker wage differentials by legal status. In order to adequately correct sample selection bias, we develop a Heckman-type two-stage method with an ordered probit model in the first stage and a wage equation model in the...

Revised version of the paper submitted 2/11/2010

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...