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SYSTEMATIC RISK MANAGEMENT PROGRAMMING OF SUGARCANE PRODUCTION IN WEST BENGAL: A TARGET MOTAD ANALYSIS

机译:西孟加拉邦甘蔗产量的系统风险管理编程:目标MOLAD分析

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摘要

Mathematical modeling method widely used for modeling farmers decision making. In this study Target MOTAD risk programming model applTed to determine sugarcane production fluctuation along with other crops. Therefore, MOTAD multi-period programming model with the objective function of maximizing expected net present value was used. Sugarcane price and yield variability were considered as risk factors. According to the collected data, farms have been categorized in large and small in three different zones i.e. Burdwan zone, Birbhum zone and Hoogly zone.Since in risky conditions, sugarcane farmers usually want to minimize the negative deviation of gross margin, the results indicated that farmer are willing to cultivate crops which have less gross margin fluctuation compared to the others. The high yield-risk group consists of sugarcane (CV=61%). The medium yield-risk group consists of lowland rice (CV=22%), potato (CV=29%) and upland rice (CV=29%), while the low yield-risk group consists of jute (CV=9%). It also reveals that unpredictable environment, high crop yield variability and crop price variability, increased cost of cultivation, successive droughts, high debt burden, inadequate supportive government schemes with their inherent flaws, ineffective farm credit and insurance schemes, malpractices by market middlemen.
机译:广泛用于造型农民决策的数学建模方法。在这项研究中,瞄准Motad风险编程模型,用于确定甘蔗产生波动以及其他作物。因此,使用了具有最大化预期净现值的目标函数的MOTAD多时段编程模型。甘蔗价格和产量变异被视为风险因素。根据收集的数据,农场已经在三种不同的地区大而小,IE博德湾区,Birbhum区和浣熊区。在危险条件下,甘蔗农民通常希望尽量减少毛利率的负偏差,结果表明了这一点与其他人相比,农民愿意培养具有较少严重保证金波动的作物。高产量风险组由甘蔗(CV = 61%)组成。中等产量风险组由低地米(CV = 22%),马铃薯(CV = 29%)和旱稻(CV = 29%)组成,而低产量风险组由黄麻(CV = 9%)组成。它还揭示了不可预测的环境,高作物产量变异性和作物价格变异,培养成本,连续干旱,高债务负担,与其固有的缺陷,无效的农业信用和保险计划,市场中间人的医疗事务所不足。

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