An optimization model is used to evaluate the economics of various components of a large agribusiness. The benefits of using interger programming are contrasted to traditional linear programming analysis in conjunction with outside-the-model budgeting analysis.

In the past, studies on agricultural feedstocks for energy production were motivated by rising fossil fuel prices interpreted by many as caused by resource depletion. However, today's studies are mainly motivated by concerns for climate change and global warming. Currently, most studies...

In an effort to bolster confidence and protect the nation the U.S. government through agencies like the Department of Homeland Security is identifying vulnerabilities and evolving strategies for protection. Agricultural food supply is one identified vulnerable area, and animal disease defense is...

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.

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...