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...

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...

Attracting manufacturing investment remains a viable regional development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the dynamics of firm death and the possible...

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...

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...

This article examines what differentiates "socially responsible" farmers (i.e., those who rank environmental benefits higher than profit, based on a Likert style ranking) from farmers who make decisions based solely on financial criteria. A proportional odds model (POM) is proposed to estimate...

Switchgrass (panicum virgatum L.), a viable option for second-generation renewable fuels, has an extended harvest window with optimal harvest affected by yield, storage losses and nutrient uptake. This research shows that optimal harvest occurs later than maximum yield for Haskell, OK and...

A spreadsheet-based tool that tracks cow-calf producer net returns (NR) and greenhouse gas (GHG) emissions was used to determine the impact of calving season for three typical farm sizes and four fertilization strategies in Arkansas. Economic and environmental changes were examined for spring,...

Concern over GHG emissions has producers analyzing cattle production alternatives. One way producers can modify emissions is by changing herd sire genetics. The ‘Bull Estimator’, part of a recently developed cow-calf profitability and GHG spreadsheet tool, shows that genetic change can...

U.S. agriculture has seen a decrease in of producers under the age of 35 entering agriculture for the past thirty years. This paper will explore the design and possible implementation of an innovative loan program designed give qualifying new young and beginning producers concessionary interest...