基于DEA_Malmquist模型的安徽省农地城市流转效率评价

Evaluation of Agricultural Land Transfer Efficiency Based on DEA_Malmquist Model in Anhui Province

  • 摘要: 运用数据包络分析(DEA)和Malmquist生产指数对2011—2016年安徽省16个地市的农地城市流转效率进行动态评价,并从投入产出冗余角度对其优化。研究表明:(1)安徽省在2011—2016年间的农地城市流转综合效率均值为0.922,只有合肥、池州2个地市在6年中均达到了DEA有效,地域差异明显,在农地城市流转效率上,皖南 > 皖中 > 皖北。(2)从时间序列来看,6年间16个地市的农地城市流转综合效率整体变动幅度不大,前两年呈增长趋势,后三年呈下降趋势,技术效率的提高对Malmquist生产率变化指数的提升贡献最大。(3)从投入产出冗余结果来看,安徽省6年来各地市固定资产投资过多和城镇居民人均可支配收入不足是导致DEA无效的主要原因。最后,从投入数量、投入结构和产权主体等方面对农地城市流转效率的提升提出相应的对策建议。

     

    Abstract: Data Envelopment Analysis (DEA) and Malmquist production Index are used to evaluate the efficiency of agricultural land transfer in 16 cities of Anhui Province from 2011 to 2016, and to optimize it from the angle of input and output redundancy. Research findings:(1) the average comprehensive efficiency of agricultural land transfer in Anhui Province in 2011-2016 is 0.922. Only Hefei, Chizhou and Chizhou have achieved DEA efficiency in 6 years, and the regional's differences are obvious. (2) According to the time series, the overall efficiency of rural land transfer in 16 prefectures has not changed much in the past six years, but increased in the first two years and decreased in the following three years.The improvement of technical efficiency contributes the most to the improvement of Malmquist productivity change index. (3) From the result of input and output redundancy, the fixed capital of Anhui Province has been fixed in the past 6 years. Too much investment and insufficient per capita disposable income of urban residents are the main reasons for the invalidation of DEA. Finally, the paper puts forward the corresponding countermeasures and suggestions from the aspects of the quantity of input, the structure of input and the welfare of farmers, and so on, to improve the efficiency of the circulation of agricultural land cities.

     

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