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Estimating the Spatial Distribution of Groundwater Demand In the Texas High Plains 31
Zhao, Shiliang; Wang, Chenggang; Bordovsky, James P.; Sheng, Zhuping; Gastelum, Jesus R..
Developing groundwater management plans requires a good understanding of the interdependence of groundwater hydrology and producer water use behavior. While state-of-the-art groundwater models require water demand data at highly disaggregated levels, the lack of producer water use data has held up the progress to meet that need. This paper proposes an econometric framework that links county-level crop acreage data to well-level hydrologic data to produce heterogeneous patterns of crop choice and irrigation practices within a county. Together with agronomic data on irrigation water requirements of various crops and irrigation practices, this model permits estimation of the water demand distribution within a county. We apply this model to a panel of 16...
Tipo: Conference Paper or Presentation Palavras-chave: Discrete Choice Model; Random-coefficients Discrete Choice Model; Crop Choice; BLP; Groundwater; Texas High Plains; Ogallala Aquifer; Crop Production/Industries; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/103931
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