基于三阶段DEA模型的江苏省农业生产效率研究

Research on the Agricultural Production Efficiency of Jiangsu Province Based on the Three-stage Data Envelopment Analysis(DEA)Model

本文运用三阶段DEA模型对江苏省农业生产效率进行测算,结合聚类分析方法把江苏省所有城市生产效率分为三种类型。对比第一阶段与第三阶段聚类分析的结果,可以看出外部环境因素和随机因素对农业生产效率产生一定的影响。运用随机前沿分析法(SFA)得出如下结论:城市化水平、净出口贸易、交通便利性的提高有利于改善农业生产效率;财政支农不利于农业生产效率的提高。江苏省各地区应该结合当地的经济水平和资源禀赋,通过提高管理水平或调整农业生产规模,从而改善农业生产效率。

Based on the three-stage Data Envelopment Analysis(DEA)model,in this paper,we conducted empirical research on the agricultural production efficiency of Jiangsu in 2012.According to the comprehensive technical efficiency,all the cities were divided into three types by cluster analysis method.In comparison with the result of cluster analysis in the first stage and that in the third stage,it can be seen that external environmental factors as well as random factors exert certain influences on the agricultural production efficiency.The improvement of urbanization level,net export and the convenience of traffic are the positive factors to agricultural production efficiency,while financial support in agriculture is the negative factor to agricultural production efficiency.Governments of each region in Jiangsu Province should combine farming with the characteristics of its efficiency,with a focus on improving the level of management and expanding the scale of agricultural production so as to ameliorate the agricultural production efficiency.