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Agricultural microcredit and technical efficiency: The case of smallholder rice farmers in Northern Ghana

机译:农业小额信贷和技术效率:以加纳北部小农户为例

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In the current study, we compared technical efficiency of smallholder rice farmers with and without credit in northern Ghana using data from a farm household survey. We fitted a stochastic frontier production function to input and output data to measure technical efficiency. We addressed self-selection into credit participation using propensity score matching and found that the mean efficiency did not differ between credit users and non-users. Credit-participating households had an efficiency of 63.0percent compared to 61.7 percent for non-participants. The results indicate significant inefficiencies in production and thus a high scope for improving farmers' technical efficiency through better use of available resources at the current level of technology. Apart from labour and capital, all the conventional farm inputs had a significant effect on rice production. The determinants of efficiency included the respondent's age, sex, educational status, distance to the nearest market, herd ownership, access to irrigation and specialisation in rice production. From a policy perspective, we recommend that the credit should be channelled to farmers who demonstrate the need for it and show the commitment to improve their production through external financing. Such a screening mechanism will ensure that the credit goes to the right farmers who need it to improve their technical efficiency.
机译:在当前的研究中,我们使用来自农户调查的数据比较了加纳北部有信用和无信用的小农户稻米农的技术效率。我们在输入和输出数据中安装了随机前沿生产函数,以衡量技术效率。我们使用倾向得分匹配解决了信用参与中的自我选择问题,发现信用使用者与非使用者之间的平均效率没有差异。参与信贷的家庭的效率为63.0%,而非参与家庭的效率为61.7%。结果表明生产效率低下,因此有很大的空间通过在当前技术水平上更好地利用可用资源来提高农民的技术效率。除劳动力和资本外,所有常规农业投入对稻米生产都有重要影响。效率的决定因素包括受访者的年龄,性别,受教育程度,到最近市场的距离,畜群的所有权,获得灌溉的机会以及水稻生产的专业化。从政策的角度来看,我们建议将信贷提供给表明信贷需求的农民,并表现出通过外部融资改善其生产的承诺。这种筛选机制将确保信贷流向需要信贷的农民,以提高其技术效率。

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