Results 1 to 10 of about 24,635 (146)
Cost function and positive mathematical programming
Bio-based and Applied Economics, 2017 A line of research in Positive Mathematical Programming (PMP) has pursued the goal of estimating a cost function capable of reproducing the base-year results in a sample of farms.
Quirino Paris
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Positive Mathematical Programming and Risk Analysis
Bio-based and Applied Economics, 2019 In 1956, Freund introduced the analysis of agricultural price risk in a mathematical programming framework. His discussion admitted only constant absolute risk aversion.
Quirino Paris
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Bio-based and Applied Economics, 2012 This paper reviews and discusses the more recent literature and application of Positive Mathematical Programming in the context of agricultural supply models.
Thomas Heckelei +2 more
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Agronomy, 2021 A method for calibrating models of agricultural production and resource use for policy analysis is proposed to leverage multidisciplinary agricultural research at the National Center for Alluvial Aquifer Research (NCAAR).
Nicolas Quintana-Ashwell +6 more
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Positive mathematical programming with multiple data points : a cross- sectional estimation procedure [PDF]
Revue d’Études en Agriculture et Environnement, 2000 Programmation mathématique positive avec observations multiples : estimation en coupes transversales Cet article présente une approche visant à spécifier des fonctions de coût non linéaires dans le cadre de modèles de programmation régionaux. La méthodologie en question peut être considérée comme une application de la programmation mathématique ...
Thomas Heckelei, Wolfgang Britz
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Positive Mathematical Programming [PDF]
American Journal of Agricultural Economics, 1995 AbstractA method for calibrating models of agricultural production and resource use using nonlinear yield or cost functions is developed. The nonlinear parameters are shown to be implicit in the observed land allocation decisions at a regional or farm level. The method is implemented in three stages and initiated by a constrained linear program.
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Incorporating risk in a positive mathematical programming framework: a dual approach [PDF]
Australian Journal of Agricultural and Resource Economics, 2017 In this study we develop a new methodological proposal to incorporate risk into a farm-level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer-specific coefficient of absolute risk aversion as well as the resource shadow prices.
Paolo Sckokai +2 more
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Modeling crop regional production using positive mathematical programming
Mathematical and Computer Modelling, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
JOSÉ Mas, Rafael Bru
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Modelling agricultural risk in a large scale positive mathematical programming model
International Journal of Computational Economics and Econometrics, 2020 Mathematical programming has been extensively used to account for risk in farmers' decision making. The recent development of the positive mathematical programming (PMP) has renewed the need to incorporate risk in a more robust and flexible way. Most of the existing PMP-risk models have been tested at farm-type level and for a very limited sample of ...
Angel Perni +2 more
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Assessing the prediction capacity of an agricultural supply positive mathematical programming model [PDF]
International Journal of Sustainable Society, 2011 In this paper, the calibration and prediction capacity of a supply response positive mathematical programming model (PMP) for the Alentejo region are evaluated. The model is calibrated with prices and agricultural subsidies of the base year (2000), using the specification rules of the cost function standard, Paris standard, average cost and exogenous ...
Rui Fragoso +1 more
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