M. Sabuhi; E. Azadegan
Abstract
In the current study, the Generalized Maximum Entropy (GME) and Dynamic Positive Equilibrium Problem (DPEP) approach were introduced and used to estimate the set of dynamic supply functions of selected annual crops in Mashhad-Chenaran plain during the years 2003-2011.In addition, the Allen and Morishima ...
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In the current study, the Generalized Maximum Entropy (GME) and Dynamic Positive Equilibrium Problem (DPEP) approach were introduced and used to estimate the set of dynamic supply functions of selected annual crops in Mashhad-Chenaran plain during the years 2003-2011.In addition, the Allen and Morishima elasticities of derived demand inputs, and supply elasticity of the crops were determined. The results showed that the estimated dynamic supply functions calibrate the observed supply for each year, accurately. Also, the policy of increasing irrigation water prices by 100 percent from the base year reduced the cultivated area and increased farmers’ intention to cultivate and supply crops with higher income, such as potato, tomato, onion and cucumber. Thus, considering the model‘s ability to estimate the observed supply in each year and to determine the impact of various policies, applying the model is recommended to analyze other policies imposed across various regions.
E. Azadegan; F. Rastegaripour; M. Sabouhi
Abstract
In farming activities, various resources and inputs are utilized to produce agricultural products.. One of the most important goals of agricultural managers and programmers is to assess the optimal resource allocation for designing an appropriate cultivation pattern. Mathematical programming is a common ...
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In farming activities, various resources and inputs are utilized to produce agricultural products.. One of the most important goals of agricultural managers and programmers is to assess the optimal resource allocation for designing an appropriate cultivation pattern. Mathematical programming is a common approach to achieve the optimal pattern. In this study, the two approaches of Fuzzy De-Novo and De-Novo programming are first described, and later their applications in determining the optimal cultivation pattern is discussed. The study was conducted in 2009-2010. Using the random sampling technique, 127 farmers of Sabzevar city were selected and interviewed in person. The data collection was based on completing questionnaires. Results showed that farmers in the three groups of the small farms (less than 6.5 hectare), the medium farms (high than 6.5 and less than 13 hectare) and the large farms (high than 13 hectare) can increase the level of the impure efficiency and can make the resource utilization more efficient by changing their present cultivation patterns. using proper cultivation patterns.
JEL Classification: C61,Q21
