Replaced with revised version of paper 10/23/07.

With cotton output declining by 46 percent from 2005-2008 (from 23.89 M bales in 2005 to 12.8 M bales in 2008), gins are processing less cotton. This paper examines how output size distribution of cotton gins in the U.S. has evolved and the extent to which the developments in the U.S. ethanol...

This paper shows that the response of cotton prices in the U.S. to fluctuations in oil prices in the international market may differ greatly depending on whether the increase is driven by demand or supply shocks in the crude oil market. In the long-run, around 3 percent of the variability in...

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...

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...

The purpose of this paper is to assess the opportunity returns forgone to cotton producers in the lower Mid-South region of the United States for growing cotton, compared to alternative commodities. We calculate the actual net returns per acre for selected cotton-producing counties in Arkansas,...

This paper analyzed the effects of the U.S. domestic offset program on the world cotton markets using a partial equilibrium model following the assumption given by Brown et al. (2010). The results in our study are largely similar to those of Baker et al. and Brown et al., confirming that...

Agricultural commodity futures markets have experienced dramatic price swings since 2007 as compared to previous periods. Applied economic research has not reached a consensus as to whether market fundamentals or speculative participation has been the cause of the increased volatility. Policy...

Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower...

Soil acidity and cotton yields are influenced by cover crop, nitrogen, and tillage method. Applying half the recommended lime rate may be possible without reducing cotton yields. Using a nitrogen intensive cover crop and applying less nitrogen should mitigate the effects on soil acidity and yields.