马拉维和中国罗非鱼生产技术效率:随机前沿生产方法的应用

F. Phiri, Xinhua Yuan
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引用次数: 5

摘要

在本研究中,应用随机前沿生产函数估算了马拉维和中国各20个罗非鱼养殖场的技术效率得分和效率低下的决定因素。该研究使用了Cobb- Douglas模型,该模型的效率估计显示,马拉维的罗非鱼养殖户在技术上比中国的养殖户效率更低,平均效率得分分别为47%和91%。除水产养殖经验外,所有的低效率决定因素对马拉维养殖场都是积极的,尽管没有一个系数显著。对于中国罗非鱼养殖户,除养殖经验外,年龄(显著)、家庭规模和教育程度呈负相关。马拉维罗非鱼产业需要技术创新,以缩小现有53%的产量差距,理想情况下可以引进或开发优质新品种,加强对全雄性罗非鱼的利用,改进护理和生长技术,以及使用优质鱼饲料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency of Tilapia Production in Malawi And China: Application of Stochastic Frontier Production Approach
In the present study, stochastic frontier production function was applied to estimate both the technical efficiency scores and determinants of inefficiency for 20 tilapia farms apiece in Malawi and China. The study used the Cobb- Douglas model in which efficiency estimates showed that tilapia farmers in Malawi were more technically inefficient than farmers in China, with mean efficiency scores of 47% and 91% respectively. With exception of aquaculture experience, all the inefficiency determinants were positive for Malawian farms even though none of the coefficients was significant. For Chinese tilapia farmers, age (significant), household size and education had negative signs except aquaculture experience. The Malawian tilapia industry need technology innovations in order to reduce the existing 53% yield gap, which can ideally be introduction or development of new strains of superior quality, enhanced use of all-male tilapia, improvement in both nursing and grow-out technologies as well as use of quality fish feed.
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