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RENTABILIDAD DEL NOGAL PECANERO BAJO SISTEMAS DE PRODUCCIÓN DE MEDIANA TECNOLOGÍA EN DELICIAS, CHIHUAHUA AgEcon
Lopez Diaz, Julio Cesar; Arras Vota, Ana Maria; Salas Gonzalez, Jose Maria; Aguilar Valdes, Alfredo; Robles Hernandez, Loreto; Villalobos Perez, Elizabeth; Rodriguez Andujo, Aida.
Pecans (Carya Illinoinensis [Wangenh] K. Koch) are a native food of North America and represent a high economic crop value in the north of Mexico, mainly in the state of Chihuahua, the biggest pecan nut producer in this country. The goal of this study was to evaluate the profitability of pecan orchards in the municipality of Delicias, Chihuahua. Some microeconomic and market information from 2008 were collected from pecan growers and specialists through the technique of Experts' Panel. Standard financial analysis and a Monte Carlo simulation model were used to evaluate the probabilities of risk for net cash income (NCI) and return on capital employed (RCE). The NCI obtained was $277,000 and RC 111.7%, indicating that pecan orchards show high profitability...
Tipo: Journal Article Palavras-chave: Carya Illinoinensis; Production costs; Monte Carlo simulation.; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/114475
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PRESENCE OF STOCHASTIC ERRORS IN THE INPUT DEMANDS: ARE DUAL AND PRIMAL ESTIMATIONS EQUIVALENT? AgEcon
Bittencourt, Maurício Vaz Lobo.
This study verifies the primal and dual approaches in presence of stochastic errors in output and input demands, and policy implications when such errors are not taken into account. A data set based on a representative agent behavior is created through Monte Carlo simulation and used to estimate econometrically the primal and dual functions associated to the technology chosen. Results show that both formulations are unbiased, consistent, and efficient. No consideration of these errors can lead to wrong policy recommendations in a productive sector. Any kind of policy created to improve the total production of a particular sector has to consider the issues so far discussed to avoid such bias problems and inefficiency before be applied to the real world.
Tipo: Conference Paper or Presentation Palavras-chave: Stochastic errors; Input demands; Dual; Primal; Policy implication; Monte Carlo simulation.; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/22096
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