| 来源类型 | Other
|
| Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models. |
| Schmid E; Sinabell F
|
| 发表日期 | 2005
|
| 出处 | Discussion Paper DP-10-2005, Institute for Sustainable Economic Development, Department of Economics and Social Sciences, University of Natural Resources and Applied Life Sciences, Vienna, Austria (February 2005)
|
| 出版年 | 2005
|
| 语种 | 英语
|
| 摘要 | In agricultural economics, several calibration and aggregation approaches have evolved in mathematical programming models. This article combines in a linear programming model features of the Positive Mathematical Programming method with an aggregation approach that is constrained to the production possibility set spanned by a convex combination of observed production activities. The combination is obtained by using a variable separation technique that approximates a non-linear objective function. Therefore, linear programming models can be exactly calibrated to observed production activities. The aggregation of production activities in homogenous production response units assumes that farmers in a region are treated such as they respond in the same way. Both methodologies are embedded in economic reasoning and provide a robust framework to solve large-scale linear programming models in reasonable time. |
| 主题 | Forestry (FOR)
|
| 关键词 | Calibration
Aggregation
Linear programming
|
| URL | http://pure.iiasa.ac.at/id/eprint/7624/
|
| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/135003
|
推荐引用方式
GB/T 7714 |
Schmid E,Sinabell F. Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models.. 2005.
|
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