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| Wu, JunJie; Mapp, Harry P., Jr.; Bernardo, Daniel J.. |
| A dynamic model is developed to analyze farmers' irrigation investment and crop choice decisions under alternative water quality protection policies. The model is applied to an empirical example in the Oklahoma High Plains. The choices of crops and irrigation systems and the resulting levels of irrigation, income, and nitrogen runoff and percolation are simulated over a ten-year period. An effluent tax on nitrogen runoff and percolation is shown to be effective in reducing nitrate pollution. The efficacy of cost sharing in adopting modern irrigation technologies and restrictions on irrigation water use depends on soil type. A tax on nitrogen use is shown to be the least effective policy. |
| Tipo: Journal Article |
Palavras-chave: Crop selection; Dynamic optimization; Irrigation investment; Water quality; Crop Production/Industries. |
| Ano: 1994 |
URL: http://purl.umn.edu/15167 |
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| Heumesser, Christine; Fuss, Sabine; Szolgayova, Jana; Strauss, Franziska; Schmid, Erwin. |
| Irrigated agriculture will play a crucial role to meet future food demand, but a sustainable water resource management in agriculture is crucial as well. Therefore, the European Water Framework Directive promotes several measures, e.g., the adoption of adequate water pricing mechanisms or the promotion of water-saving irrigation techniques. Since production conditions such as weather and climate development are uncertain, farmers might be reluctant to invest in a water-saving but capital intensive irrigation system. We apply a stochastic dynamic programming approach to analyze a farmer’s optimal investment strategy for either a water–saving drip irrigation system or sprinkler irrigation system under weather uncertainty and assess the probability of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Irrigation investment; Stochastic dynamic programming approach; Water policies; Weather uncertainty; EPIC; Farm Management; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/114536 |
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