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基于DEA模型与农户调研的北京市粮食补贴政策效果研究
引用本文:徐长春,童文杰,唐衡,陈阜,雷杰,王梁.基于DEA模型与农户调研的北京市粮食补贴政策效果研究[J].中国农学通报,2013,29(35):146-151.
作者姓名:徐长春  童文杰  唐衡  陈阜  雷杰  王梁
作者单位:1. 中国农业大学农学与生物技术学院农学系2. 3. 北京农学院4. 中国农业大学农学与生物技术学院5. 北京市农业局
基金项目:国家公益性行业(农业)科研专项
摘    要:北京市自2004年开始实施粮食补贴政策以来,粮食生产和农民收入有了显著提升。科学评价粮食补贴政策的实施效果是今后进一步优化补贴政策体系、提升强农惠农效应的重要前提。首先梳理了北京市相关政策文件,分析了北京市粮食补贴政策的演变历程及特征,然后基于DEA模型和农户调研评估了北京市粮食补贴政策效果。结果表明:北京市粮食补贴的政策效率处于较高水平,但通过制度创新等途径仍有进一步提升的空间;补贴政策执行到位、农民认可程度较高,但同时也存在一些问题。最后针对模型评估和农户调研结果,提出完善北京市粮食补贴政策的相关政策建议。

关 键 词:粮食补贴政策  数据包络分析法(DEA)  农户调研  政策建议
收稿时间:2013/5/17 0:00:00
修稿时间:2013/6/26 0:00:00

Study on the Effects of Grain Subsidy Policy in Beijing Based on DEA Model and Questionnaire Survey
Xu Changchun,Tong Wenjie,Tang Heng,Chen Fu,Lei Jie,Wang Liang.Study on the Effects of Grain Subsidy Policy in Beijing Based on DEA Model and Questionnaire Survey[J].Chinese Agricultural Science Bulletin,2013,29(35):146-151.
Authors:Xu Changchun  Tong Wenjie  Tang Heng  Chen Fu  Lei Jie  Wang Liang
Institution:1College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193; 2College of Economics & Management, Belling University of Agriculture, Beijing 102206; 3Beijing Agricultural Bureau, Beijing 100029)
Abstract:After introducing grain subsidy policy in 2004, the grain production and farmers' income level in Beijing have been boosted considerably. The scientific assessment on the effects of subsidy policy is the prerequisite for future optimizing and implementing preferential policies for agriculture and farmers. This study firstly summarized the history and characteristics of Beijing' s grain subsidy policy, based on related government documents and statistical data. Then DEA modeling was employed and questionnaire results were analyzed. The results indicated that the efficiency of grain subsidy policy in Beijing was at high level, but there was still some room for improvement. The policy was implemented well with sound public opinion, but still some problems existed. At last, several policy recommendations were put forward for further policy optimization.
Keywords:policy suggestions
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