Integrating Spatial Dimension into Jointly Dynamic Groundwater Extraction
AbstractOne of the most important groundwater problems in Oregon, Washington and Idaho is the long-term decline of the groundwater surface level, which has been intensified by wells through discharging water from aquifers. Groundwater contamination from agriculture aggravates the depletion problem in irrigated regions since quality has a decisive role in ways of water use. We developed a spatial agricultural groundwater extraction model by coupling a hydrological model and a contamination migration model. We find that the optimal groundwater extraction is reduced if spatial interactions are incorporated, and that spatial heterogeneities such as crop varieties and soil types affect individual extraction. The socially optimal paths of shadow prices of groundwater quantity and quality depend on time preference, stock effect and dilution effect.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 150752.
Date of creation: 2013
Date of revision:
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Groundwater; Dynamic; Spatial; Groundwater quantity; Groundwater Quality; Agricultural Water Use; Crop Production/Industries; Environmental Economics and Policy; Resource /Energy Economics and Policy;
This paper has been announced in the following NEP Reports:
- NEP-AGR-2013-06-24 (Agricultural Economics)
- NEP-ALL-2013-06-24 (All new papers)
- NEP-ENV-2013-06-24 (Environmental Economics)
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