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安徽省农业生产性服务业现状及发展效率评价
引用本文:陈倩倩.安徽省农业生产性服务业现状及发展效率评价[J].中国农学通报,2017,33(25):157-164.
作者姓名:陈倩倩
作者单位:安徽师范大学 经济管理学院
基金项目:安徽省哲学社会科学规划项目“安徽生产性服务业专业化水平的测度及提升路径”(AHSKY2016D98)。
摘    要:旨在对安徽省农业生产性服务业现状进行了解并对其发展效率进行评价,以期为促使安徽农业生产性服务业发展提供可取的参考建议。以安徽省为案例对象,了解其农业生产性服务业的发展现状,同时从时空视角运用数据包络分析法对其发展效率进行评价。发现2007—2015年安徽省主要是因为规模效率导致DEA无效;2015年各地区农业生产性服务业综合效率值差异较大,仅宿州、蚌埠、芜湖等六市的综合效率值为1,最低值为黄山市,仅为0.365。基于此,认为产业发展层面应推进产业链融合、重视对科学技术的投入以及鼓励政策支持;空间层面应平衡各地区农业生产性服务业的发展;产业间合作层面应促使农业生产性服务业与特色农业相互融合。最后指出不足之处并展望之后的研究方向。

关 键 词:农业生产性服务业  效率评价  数据包络分析
收稿时间:2017/5/8 0:00:00
修稿时间:2017/8/8 0:00:00

Current Situation and Development Efficiency Evaluation of Agricultural Productive Service Industry in Anhui Province
Abstract:The research aims to understand the present situation of agricultural productive service industry in Anhui Province and evaluate its development efficiency, so as to provide valuable reference to promote the development of agricultural productive service industry in Anhui. The authors made an overview of the situation of agricultural productive service industry in Anhui, and conducted the evaluation from a time and space perspective by using the Data Envelopment Analysis. The research finds that because of scale efficiency, the DEA is invalid from 2007 to 2015 in Anhui Province. In 2015, there are great differences in the comprehensive efficiency of agricultural productive service industry in different regions, the comprehensive efficiency value of six cities is 1, such as Suzhou, Bengbu, Wuhu and etc., and the minimum value is 0.365 in Huangshan City. Based on these, the research proposes promoting the industrial chain integration, investing in science and technology, and formulating supportive policies in industrial development dimension; in spatial dimension, it is suggested to balance the development of agricultural productive service industry in different regions; in inter-industry cooperation dimension, the integration of agricultural productive service industry and characteristic agriculture should be encouraged. Finally, the shortcomings and development direction of the research are discussed.
Keywords:agricultural productive service industry  efficiency evaluation  data envelopment analysis  comprehensive efficiency  industry integration
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