Evaluation Factors Affecting of Risk Production in Sistan Grape Growers by using Stochastic Frontier Approach
محورهای موضوعی : Environmental policy and management
Nazar Dahmardeh
1
(Associate professor of Economics, University of Sistan and Baluchestan, Iran)
Ali Sardar Shahraki
2
(PhD Student in Agricultural Economics, University of Sistan and Baluchestan, Iran)
کلید واژه: Production Risk, stochastic frontier analysis, Grapes, Sistan,
چکیده مقاله :
Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic frontier. Data gathered by questionnaires at three counties of Zabol, Hirmand and Zahak at 265 grape farmers in crop year of 2011-2012. The results showed that the cultivated area respectively for the county of Zabol and Zahak risk–reducing and risk-increases, labor Rental at Zabol county risks - reducing and animal manure for the county of Hirmand and Zahak was risk - Reducing respectively. Therefore, the positive and significant labor input on risk factor is production as a result of seasonality, It is suggested that the focus on seasonal labor and employment Rental through agencies or through the representatives of the Ministry of Labor and Social Affair.
Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic frontier. Data gathered by questionnaires at three counties of Zabol, Hirmand and Zahak at 265 grape farmers in crop year of 2011-2012. The results showed that the cultivated area respectively for the county of Zabol and Zahak risk–reducing and risk-increases, labor Rental at Zabol county risks - reducing and animal manure for the county of Hirmand and Zahak was risk - Reducing respectively. Therefore, the positive and significant labor input on risk factor is production as a result of seasonality, It is suggested that the focus on seasonal labor and employment Rental through agencies or through the representatives of the Ministry of Labor and Social Affair.
| 1- Agriculture Organization. Agriculture Report.(2010). | ||||
| 2- Aigner, D., Lovell, C.A.K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21-37. [DOI via Crossref] | ||||
| 3- Khan, A., Azmal Huda, F., & Alam, A. (2010). Farm Household Technical Efficiency: A Study on Rice Producers in Selected Areas of Jamalpur District in Bangladesh, European Journal of Social Sciences, 14(2), 262-271. | ||||
| 4- Kumbhakar, S. (1993). Efficiency estimation in a profit maximizing model using flexible production function. Journal of Agricultural Economics, 10, 143-152. [DOI via Crossref] | ||||
| 5- Tan, S., Heerinkb, N., Kuyvenhovenb, A., & Quc F. (2010). Impact of Land Fragmentation on Rice Producers' Technical Efficiency Insouth-East China. Wageningen Journal of Life Sciences, 57, 117–123. [DOI via Crossref] | ||||
| 6- Villano, R., Donnel, C., & Battese, G. (2005). An Investigation of production Risk, Risk preferences and Technical Efficiency: Evidence from Rainfed Lowland Rice Farms in the Philippines, Working paper Series in Agricultural and Resource Economics, University of New England. | ||||
