Abstract:
A farmer’s decision of cultivating his or her land is much more complicated than just combining land and crops to maximize the potential yield. In modern agriculture, the dynamics of the environment and markets have been playing a more and more important role in the agricultural decision making. By focusing on the crop agriculture in New Mexico, this paper develops a dynamic discrete choice model to investigate the factors influencing the agricultural land use evolution in a semi-arid to the arid region. This study also takes the advantage of high-resolution remote-sensing data (i.e. crop data layer) developed by USDA National Agricultural Statistics Service. The data is integrated with other data on groundwater level, weather, prices and production costs of major field crops in the region. The study period is 2008 to 2016.
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For More Information, Contact
Haoying Wang (haoying.wang@nmt.edu) – Assistant Professor for the Department of Business and Technology Management at New Mexico Tech
Climate & Weather Consortium 