我国4种规模奶牛养殖生产要素配置现状及其优化研究——基于Translog-SFA的技术效率分析

发布时间：2018-10-12 12:36

【摘要】：本文采用超越对数随机前沿模型对2006—2015年全国4种规模奶牛养殖的生产要素配置现状、各投入要素的贡献率、技术损失效率及其影响因素进行了剖析。结果表明:中规模奶牛(51~500头)养殖要素配置相对最优,大规模(500头以上)急需提高生产前沿面,散养(1~10头)和小规模(11~50头)的要素配置最差;目前技术效率的提高主要依赖于饲料的投入,但这种粗放、低效的养殖方式已不能持续为我国奶牛增产提供支持;各投入要素的产出弹性均为正值,说明我国奶牛产业正处于规模报酬递增阶段,技术进步对于突破我国奶牛产值瓶颈有巨大的潜力。基于以上结论,提出推广中小规模奶牛养殖模式、加快奶牛养殖技术创新与进步、支持和引导农户养殖等对策建议。
[Abstract]:In this paper, the present situation of production factor allocation, the contribution rate of each input factor, the efficiency of technical loss and the influencing factors of four kinds of scale dairy cattle breeding in China from 2006 to 2015 were analyzed by using the transcendental logarithmic stochastic frontier model. The results showed that the allocation of breeding elements of middle scale dairy cattle (51 500 head) was relatively optimal, the large scale (more than 500 head) urgently needed to improve the production front, and the factor allocation of loose farming (1 10 head) and small scale (1 150 head) was the worst. At present, the improvement of technical efficiency mainly depends on the input of feed, but this extensive and inefficient breeding method can not continue to provide support for increasing production of dairy cattle in our country, and the output elasticity of each input element is all positive. It shows that the dairy industry in China is in the stage of increasing returns on a scale, and technological progress has great potential to break through the bottleneck of dairy production value in China. Based on the above conclusions, the author puts forward some countermeasures and suggestions, such as popularizing the model of small and medium scale dairy cattle breeding, speeding up the innovation and progress of dairy cattle breeding technology, and supporting and guiding farmers' breeding.
【作者单位】：吉林农业大学经济管理学院;商丘工学院经济与管理学院;
【基金】：吉林省科技厅科技发展计划项目(20160418089FG)
【分类号】：F326.3

【相似文献】