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Allocative and scale efficiency among maize farmers in Zambia: a zero efficiency stochastic frontier approach

机译:赞比亚玉米农民的分配效率和规模效率:零效率随机前沿方法

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摘要

The commonly used stochastic frontier model assumes that all firms are inefficient. In this specification, inefficiency is non-negative, and the probability of inefficiency being exactly zero is also zero. To the extent that efficiency varies widely across farms in under-developed economies, it is important to employ techniques that account for both inefficiency and full efficiency to ensure unbiased efficiency estimates. In this study, we employ a zero-inefficiency stochastic frontier model to examine allocative efficiency and scale economies, as well as key determinants of efficiency among Zambian maize farmers. The results show that, unlike the stochastic frontier model, the zero-inefficiency stochastic frontier model successfully allows for both fully efficient and inefficient firms to be accounted for in the estimation procedure. The estimates also reveal the presence of scale economies, with the zero-inefficiency stochastic frontier model better predicting scale efficiency compared to the stochastic frontier model. The findings also show that inefficiency is explained by the level of education, access to extension services, distance to markets and access to credit.
机译:常用的随机前沿模型假设所有企业都是低效率的。在本说明书中,低效率是非负的,并且低效率正好为零的概率也为零。在不发达经济体的各个农场效率差异很大的情况下,重要的是要采用兼顾效率低下和全面效率的技术,以确保效率估算的公正。在这项研究中,我们采用零效率随机前沿模型来检验分配效率和规模经济,以及赞比亚玉米农户效率的关键决定因素。结果表明,与随机前沿模型不同,零效率的随机前沿模型成功地允许在估算过程中同时考虑完全有效率和无效率的公司。估计还揭示了规模经济的存在,与随机边界模型相比,零效率随机边界模型可以更好地预测规模效率。调查结果还表明,效率低下的原因是受教育程度,获得推广服务的机会,与市场的距离和获得信贷的机会。

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