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Havlik, Petr; Herrero, Mario; Mosnier, Aline; Obersteiner, Michael; Schmid, Erwin; Fuss, Sabine; Schneider, Uwe A.. |
Livestock is recognized as one of the major drivers of current and future global change. This is caused on the production side, by the substantial resource requirements (land and water) per unit of output, and the related greenhouse gas emissions, and on the consumption side, by the growing demand due to population and economic growth. Our paper investigates whether productivity gains which enabled to the crop sector to satisfy the increased demand under decreasing real prices, and with little additional land, in the past decades, can be expected in the livestock sector in the future. To answer this question, we implement the recursively dynamic partial equilibrium bottom-up model of the global agriculture and forest sectors (GLOBIOM), expanded by a newly... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Mathematical programming; Livestock; Land use change; Livestock Production/Industries. |
Ano: 2011 |
URL: http://purl.umn.edu/114552 |
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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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