خلاصة:
This paper aims at the study of the impact of socio-economic factors on the performance of rice farmers in Kohgiluyeh and Boyer-Ahmad of Iran. The required statistics and data were collected as cross-sectional data in the 2008-09 farming year through questionnaire-interview study with the province's rice farmers and analyzed by frontier production function. The research results showed that return to scale in rice farms is increasing returns to scale ( ) and with a degree of 1.2; i.e. if all and if factors of production (capital, seeds, machinery, labor, cultivated area and water) increases with a scale of , rate of production will rise with a scale of 1.2. The mean technical efficiency of the rice farmers is 67.01 percent which has been fluctuated between a minimum of 33.3 to a maximum of 100 percent. Thus, increased Champa rice-growing capacity is about 66.7 percent. Therefore, through an improved technical efficiency of rice farmers it will be possible to reduce this deep gap between the rice farm and other farms in the province.
ملخص الجهاز:
"Hassanpour and Torkamani (2000) estimated the technical efficiency of fig producers in Fars Province with using transcendental stochastic frontier production functions estimation through maximum likelihood method.
In this function, about 87 percent of the changes of dependent variables (rate of Champa rice production) in rice farms of Kohgiluyeh and Boyer-Ahmad Province is explained by independent variables (capital, seed consumption, machinery, labor, area under cultivation and water consumption).
Technical Efficiency The Champa rice stochastic frontier Cobb-Douglas function is specified for the estimation of the technical efficiency of rice farmers in Kohgiluyeh and Boyer-Ahmad Province and estimated by the Maximum Likelihood Estimation () and the Ordinary Least Squares () methods using software.
84 Accepted Source: research findings The maximum likelihood ratio test generalized for appropriate model selection concerning the provincial rice farmers shows that hypothesis based on is rejected with two degrees of freedom; because the computational value of is more than the value of table at 0.
In this function, about 87% of Champa rice production in the rice farms of Kohgiluyeh and Boyer-Ahmad Province is explained by independent variables (capital, consumed seed, machinery, labor, area under cultivation and water consumption).
In order to study the effect of the socioeconomic characteristics including rice farming experience, age and educational level on the technical inefficiency in Kohgiluyeh and Boyer-Ahmad Province, the said characteristics were entered into the stochastic frontier Cobb-Douglas function as effective variables and their effect was tested."