This paper examines the effect that climate has on Avian Influenza outbreak probability. The statistical analysis shows across a broad region the probability of an outbreak declines by 0.22% when the temperature rises 1 Celsius degree and increases by 0.34% when precipitation increases by...

Many studies have done econometric estimates of how climate alters crop yields and or land rents in an effort to gain information on potential effects of climate change. However, an important related factor, the atmospheric carbon dioxide (CO2) concentration, and in fact a driver of climate...

A multivariate binary choice model is used to examine the climate effects on cattle breed selection across Texas counties. Angus, Brangus, and Brahman are considered in the model. Results suggest that it is more efficient to estimate the binary choice equations jointly than separately. Counties...

Replaced with revised version of paper 07/22/11.

The sustainable water use especially for irrigated agriculture in the Texas Panhandle Region is a major concern. A semi-arid climate and average low rainfalls results in little surface water being available year-round. The Ogallala Aquifer is the primary source of irrigation water in this...

Currently, different dimensions of mitigation strategies have been investigated in policy analysis. However, ambitious mitigation action aiming at reducing future climate change will not prevent much climate change before mid-century. Short-term and medium-term temperature as well as associated...

This study examines how the U.S. crop mix pattern has responded to climate and in turn the potential effects of projected climate change. We find that there are significant effects of temperature and precipitation on the crop choice decisions.

Agricultural production and water resources are sensitive to climate variability and change. Decadal climate variability (DCV) phenomena are in the early stages of being explored. This paper investigates the economic value of DCV information in the Edwards Aquifer region of Texas as well as...

We model the energy–agriculture linkage through structural vector autoregression (VAR) model. This model quantifies the relative importance of various contributing factors in driving prices in both markets. The LiNGAM algorithm from the machine learning literature is used to help identify...