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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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