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...

Off-farm employment has been an integral part of the emerging structure of production agriculture in the South. Government farm program payments, farm structure, and strong non-farm economy have important impact on labor allocation, farm and non-farm labor, decision of farm operators. The...

Off-farm employment has been an integral part of the emerging structure of production agriculture in the South. Government farm program payments, farm structure, and strong non-farm economy have important impact on labor allocation, farm and non-farm labor, decision of farm operators. The...

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...

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...