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Cortignani, Raffaele; Dono, Gabriele; Doro, Luca; Ledda, Luigi; Mazzapicchio, Graziano. |
The climate change in the agricultural sector acting on multiple weather variables at different times of the various crop cycles. In several cases by changing the mean level of variables (rainfall, temperature, etc..), in other cases by changing the distribution of events. This work provides an evaluation of the economic impact due to changes in multiple events, and to the associated uncertainty. For this reason, a classical two-stage stochastic programming model was extend into a three-stages model. The model is specified for an area of Sardinia, and examines the impact of climate change on rainfall and hence on the availability of water for agriculture, and on maximum temperatures and, therefore, on the requirements of some irrigated crops relevant to... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Discrete Stochastic Programming Model; Climate change; Water availability; Irrigation requirements; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Research Methods/ Statistical Methods. |
Ano: 2010 |
URL: http://purl.umn.edu/109317 |
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Dono, Gabriele; Cortignani, Raffaele; Doro, Luca; Ledda, Luigi; Roggero, PierPaolo; Giraldo, Luca; Severini, Simone. |
In the agricultural sector, climate change (CC) affects multiple weather variables at different stages of crop cycles. CC may influence the mean level or affect the distribution of events (e.g., rainfall, temperature). This work evaluates the economic impact of CC-related changes in multiple climatic components, and the resulting uncertainty. For this purpose, a three-stage discrete stochastic programming model is used to represents farm sector of an irrigated area of Italy and to examine the influence of CC on rainfall and on maximum temperature. These variables affect the availability of water for agriculture and the water requirements of irrigated crops. The states of nature, and their change, are defined more broadly than in previous analyses; this... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Discrete stochastic programming model; Climate change; Water availability; Irrigation requirements; Farm Management; Resource /Energy Economics and Policy. |
Ano: 2011 |
URL: http://purl.umn.edu/114436 |
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