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AN EVALUATION OF SELECTED DECISION MODELS: A CASE OF CROP CHOICE IN NORTHERN THAILAND AgEcon
Vieth, Gary R.; Suppapanya, Pramote.
This research examines the predictability of a profit maximization model, an expected value-variance utility maximization (E-V) model, and two versions of the target-MOTAD model for modeling risky agricultural production decisions. Model solutions were translated into expected value and variance of farm income for analysis. Direct comparison and chi-square analysis of actual and predicted expected income distributions were used in the analyses. It was concluded that the utility maximization and cash-cost target-MOTAD models predicted distributions of farm income better than the variable-cost target-MOTAD and profit maximization models.
Tipo: Journal Article Palavras-chave: Decision models; Expected utility maximization; Farm income; Profit maximization; Target-MOTAD; Crop Production/Industries.
Ano: 1996 URL: http://purl.umn.edu/15128
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Voluntary Environmental Action and Export Destinations: The Case of Forest Certification AgEcon
Moeltner, Klaus; van Kooten, G. Cornelis.
There is an increasing tendency for forest product firms worldwide to adopt sound environmental management practices by voluntarily agreeing to have their forest practices certified by third parties. Using a simple model of profit maximization, we illustrate that the puzzling emergence of this non-state, self-imposed governance structure is compatible with firms' profit motives. An empirical model using firm data from three countries shows firm location and export destinations play a key role in firms' decisions to seek certification, while the nature of forestland ownership has no significant impact on certification decisions.
Tipo: Journal Article Palavras-chave: Export markets; Forest certification; Profit maximization; Discrete choice models; Environmental Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/31100
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A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice AgEcon
Annou, Mamane Malam; Wailes, Eric J.; Thomsen, Michael R..
Herbicide-resistant (HR) rice technology is a potential tool for control of red rice in commercial rice production. Using an ex ante mathematical programming framework, this research presents an empirical analysis of HR rice technology adoption under uncertainty. The analysis accounts for stochastic germination of red rice and sheath blight to model a profit maximization problem of crop rotation among HR rice, regular rice, and soybeans. The results demonstrate that risk attitudes and technology efficiency determine adoption rates and optimal rotation patterns.
Tipo: Journal Article Palavras-chave: Biotechnology; Herbicide resistance; Mathematical programming; Profit maximization; Rice; Risk; Rotation; Technology; Adoption; Crop Production/Industries; Production Economics; Research and Development/Tech Change/Emerging Technologies; Q16; Q18; O33; C61.
Ano: 2005 URL: http://purl.umn.edu/43724
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Farm Level Nonparametric Analysis of Profit Maximization Behavior with Measurement Error AgEcon
Zereyesus, Yacob Abrehe; Featherstone, Allen M.; Langemeier, Michael R..
This paper tests the farm level profit maximization hypothesis using a nonparametric production analysis approach allowing for measurement error in the input and output variables. All farms violated Varian’s deterministic Weak Axiom of Profit Maximization (WAPM). The magnitude of minimum critical standard errors required for consistency with profit maximization, convex technology production was smaller after allowing technological change during the sample period. Results indicate strong support for the presence of technological change during the sample period.
Tipo: Conference Paper or Presentation Palavras-chave: Nonparametric analysis; Profit maximization; Measurement error; Technological change; Production Economics; D24.
Ano: 2009 URL: http://purl.umn.edu/46829
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Optimising land use and water allocation in intercropping systems. Repositório Alice
DETOMINI, E. R.; FIGUEIREDO, M. G. de..
The main purpose of this study is to identify the optimum allocation of limited amount of land and irrigation water across a number of alternative farm enterprises, maximising the whole-farm profitability by considering present relative prices, changes in river water availability, irrigation system efficiency and a highly variable climate. It was developed an optimisation model by using linear programming language to maximise the whole-farm profit of farm located in Wee Waa (NSW, Australia), for three different scenarios (dry, average and wet years) over two seasons. The whole-farm profit is highly sensitive to climate variability and also to prices and yields variability, especially in relation to cotton.
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Maximização de lucro; Rotação de cultura; Sistema de cultivo; Programação linear; Crop rotation; Linear programming; Profit maximization.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/handle/doc/930822
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