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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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| Severini, Simone; Cortignani, Raffaele. |
| Farmers face increasing income uncertainty and the debate is growing on the role of insurance schemes and of public support in this field. This paper applies a PMP modelling approach that takes into explicit consideration risk aversion behaviour to test its applicability to evaluating the potential impact of insurance schemes. This is done by introducing a revenue insurance scheme into a model developed on a small group of crop farms in Italy. The paper represents a preliminary assessment of the soundness of the proposed approach. It identifies some limitations that should be overcome to improve the proposed approach. Despite these limitations, it seems a useful tool to investigate the impact of insurance schemes and policy relevant parameters such as... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Insurance schemes; PMP; Farmers’ behaviour; Risk aversion; Agricultural and Food Policy; Q12; C61; Q18. |
| Ano: 2011 |
URL: http://purl.umn.edu/99431 |
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| Severini, Simone; Cortignani, Raffaele. |
| There is a growing policy pressure to reduce water use in agriculture when this generates sufficiently large environmental benefits and increases the well-being of other water users. Several analysis investigate farmers’ response to water policy by means of mathematical programming models including Positive Mathematical Programming (PMP). The originals PMP methods refer only to activities observed in the reference period. However, under the pressure of new water policies, farmers can adjust not only their cropping patterns but also the irrigation techniques they use. In particular, they could introduce water deficit irrigation crop techniques that were not profitable in past conditions. This paper proposes an extension of the Röhm and Dabbert approach... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Positive mathematical programming; Water policies; Deficit irrigation; Crop Production/Industries. |
| Ano: 2008 |
URL: http://purl.umn.edu/44010 |
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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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