基于DEA三阶段模型的保定市农业生产效率分析  

Analysis of Agricultural Production Efficiency in Baoding City Based on DEA Three Stage Model

作　　者：苑颖[1] 杨春河[1] 宋金杰[1] 白兰[1] 刘爱秋[1] 

机构地区：[1]河北农业大学商学院,河北保定071000

出　　处：《安徽农业科学》2017年第16期229-233,共5页Journal of Anhui Agricultural Sciences

摘　　要：根据2014年保定市24个县区面板数据,利用DEA三阶段模型对保定市农业生产效率进行分析。结果表明,地区生产总值、教育水平、龙头企业带动农户数等环境变量对农业生产效率存在不同程度的影响,劳动力受教育水平的提高对投入要素冗余的减少有显著正向作用。提高农民受教育水平、扩大农业生产规模是实现农业生产高效率的有效途径。According to the panel data of 24 counties in Baoding in 2014, using the DEA three stage model,the agricultural production efficiency in Baoding City was analyzed. The results showed that GDP, the level of education, the leading enterprise of agricultural households and other environmental variables have different degrees of impact on production efficiency, the improvment of education level has a significant positive effect on reducing the input redundancy. To improve the farmers＇ level of education, expanding the scale of agricultural production is an effective way to achieve efficient agricultural production.

关 键 词：DEA三阶段模型 农业生产效率 保定市 

分 类 号：S9[农业科学—水产科学]