Climate is the primary determinant of agricultural productivity. In many parts of the world, including the United States, one can trace much of the year-to-year variations in climate to the El Nino-Southern Oscillation phenomenon. In 1997-98 the world experienced a severe El event and this is...

The purpose of this study is to evaluate the economic and environmental impacts of planting energy crop on set-aside acreages in Taiwan. To do so, a Taiwan Agricultural Sector Model (TASM) was built and the data parameters of energy crop were incorporated into this model in order to simulate the...

With the increasing research interests in biofuels, global implications of biofuels production have been generally examined either in a partial equilibrium (PE) or general equilibrium (GE) frameworks. Though both of these approaches have unique strengths, they also suffer from many limitations...

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...

Biofuel expansion efforts and climate mitigation policy could fundamentally alter land management trends in U.S. agriculture and forestry (AF) by mandating biofuel feedstock production and providing incentives for greenhouse gas (GHG) emissions reduction and carbon sequestration from terrestrial...

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...