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首页> 外文期刊>International Journal of Economics and Finance >Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach
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Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach

机译:孟加拉国Khulna农业农场技术效率:随机前沿方法

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摘要

This paper uses the stochastic frontier approach to measure technical efficiency level of the agricultural farms of Khulna, Bangladesh. It considers three sub-sectors: rice cultivation, fish cultivation and livestock rearing. About 76%, 81%, and 73% variations in output are due to technical inefficiency for the farms of the three sub-sectors, respectively. The highest variation in output (due to inefficiency) is found in the fish cultivation sub-sector. The sample farms are operating at an inefficient level and the inefficiency level decreases over time for the sub-sectors. The farming experience of the farmers and the availability of the credits significantly and positively affect the efficiency level of the farms. This study finds the necessity of redefining and redesigning the credit instrument for maintaining sustainability in the long run. It is also found that all the three sub-sectors have a chance to increase their production level with the same set of technology.
机译:本文采用了随机前沿方法来衡量孟加拉国Khulna农业农场的技术效率水平。 它考虑了三个子部门:水稻栽培,鱼类种植和牲畜饲养。 产量约为76%,81%和73%,分别是由于三个子部门农场的技术效率低。 输出(由于低效率)的最高变化在鱼栽培子部门中发现。 样品农场在低效的水平下运行,并且子部门随着时间的推移而降低效率。 农民的农业经验和积极影响农场的效率水平。 本研究发现必须重新定义和重新设计信用工具,以便在长期运行中保持可持续性。 还发现,所有三个子部门都有机会通过相同的一组技术增加生产水平。

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