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...

This paper analyzes the geographic distribution of “green energy” sector clustering in the lower 48 United States using recent developments in industry concentration analysis. Evidence suggests that the ten green energy subsectors and the aggregate of the firms comprising the green energy...

In the United States, biomass is the largest source of renewable energy accounting for over 3 percent of the energy consumed domestically and is currently the only source for liquid, renewable, transportation fuels. Continued development of biomass as a renewable energy source is being driven in...

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...

In Malawi, maize is the major crop and food staple. Given limited off-farm employment opportunities, much-needed increases in household income for improving food security must come from gains in agricultural productivity through better technology and more profitable crops. In the past, hybrid...

In Senegal, one of the highest rice import-dependent countries in Sub-Saharian Africa, double cropping is recommended in the new national program for the Great Offensive for Food and Abundance (GOANA) to boost rice production. This target impels the respect of cropping calendar by using improved...

The article uses the Average Treatment Effect (ATE) to estimate the population potential adoption rates of New Rice for Africa (NERICA) varieties in Nigeria when awareness of the new varieties and access to their seed are not constrained to farmers. It thus extends previous works in the...

We apply a program evaluation technique to data obtained from rural Kenya to assess the patterns of adoption of improved pigeonpea varieties. The sample adoption rate of improved pigeonpea is found to be 36% while potential adoption rate is estimated at 48%. The adoption gap resulting from the...

A multiobjective optimization model integrating with high-resolution geographical data was applied to examine the optimal switchgrass supply system in Tennessee that considers both feedstock cost and greenhouse gas (GHG) emissions in the system. Results suggest that the type of land converted...

This paper examines the informational origin of the low adoption rates of modern agricultural technologies in smallholder agriculture in sub-Saharan Africa. It argues that a large part of these low rates can be explained by the fact that many smallholder farmers are unaware of the existence of...