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Registros recuperados: 7
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Possible Impacts of Climate Change on Mediterranean Irrigated Farming Systems AgEcon
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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Introducing deficit irrigation crop techniques derived by crop growth models into a Positive Mathematical Programming model AgEcon
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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The impact of reforming the Common Agricultural Policy on the sustainability of the irrigated area of Central Italy. An empirical assessment by means of a Positive Mathematical Programming model AgEcon
Cortignani, Raffaele; Severini, Simone.
The Common Agricultural Policy (CAP) is a major driver of the environmental and social sustainability of the agriculture in the European Union (EU). Under the 2003 CAP reform, most direct payments to agricultural producers were decoupled from production. This work assesses the possible impact of the CAP reform on the sustainability of an irrigated area of Central Italy with particular attention being paid to decoupling. The analysis has been conducted using the Positive Mathematical Programming (PMP) method that directly estimates the cost function parameters by imposing the first-order conditions of the farm model under consideration. The analysis assesses the impact of the CAP reform on farm cropping patterns, water and chemical use, labour use and...
Tipo: Conference Paper or Presentation Palavras-chave: Common Agricultural Policy; Sustainability; Positive Mathematical Programming; Farmers’ behaviour; Irrigated agriculture; Decoupling; Agricultural and Food Policy; Consumer/Household Economics; Crop Production/Industries; Demand and Price Analysis; Farm Management; Land Economics/Use.
Ano: 2010 URL: http://purl.umn.edu/109318
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An evaluation of the economic impact of Climate Change through a three-stages Discrete Stochastic Programming model AgEcon
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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An attempt to modelling revenue insurance schemes at the farm level by means of Positive Mathematical Programming AgEcon
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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Modeling farmer participation to a revenue insurance scheme by means of Positive Mathematical Programming AgEcon
Severini, Simone; Cortignani, Raffaele.
European farmers face increasing income uncertainty and the debate is growing on the role of insurance schemes and of public support in this field. This debate is further stimulated by the perspective of introducing instruments to cope with risk also in the Common Agricultural Policy. Therefore, there is a need for empirical analysis and tools aimed at providing empirical evidences on this subject. This paper applies a PMP modelling approach that takes into explicit consideration risk aversion behaviour to test the possibility to use it to assess the implications of participating in a insurance scheme. This is done by introducing a revenue insurance scheme into a model developed on a small group of crop farms in Italy. In particular, a quadratic mix...
Tipo: Conference Paper or Presentation Palavras-chave: Insurance schemes; PMP; Farmers’ participation; Risk aversion; Non-linear mix-integer programming; Farm Management; Risk and Uncertainty; Q12; C61; Q18.
Ano: 2011 URL: http://purl.umn.edu/116001
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Evaluating Changes in Cropping Patterns due to the 2003 CAP Reform. An Ex-post Analysis of Different PMP Approaches Considering New Activities AgEcon
Blanco, Maria; Cortignani, Raffaele; Severini, Simone.
Replaced with revised version of paper 02/22/08.
Tipo: Conference Paper or Presentation Palavras-chave: Ex-post policy evaluation; Positive mathematical programming; CAP reform; Agricultural and Food Policy; Crop Production/Industries; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/6674
Registros recuperados: 7
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