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...