区域生态效率评价及影响因素研究——基于三阶段DEA模型

Analysis of Regional Eco-efficiency Measurement and Influencing Factors: Based on Three-Stage DEA Model

生态效率是衡量经济与资源环境可持续发展的重要指标,可以反映一个地区经济与资源环境的可持续发展水平。运用三阶段DEA模型对中国2014年31个省市的生态效率进行实证研究。结果表明:环境治理投资总额(亿元)、第二产业所占比例(%)和人均汽车拥有量(辆/万人)3项指标作为外部环境变量对区域生态效率有显著影响。剔除外部环境和随机误差的影响后,区域生态效率的技术效率由0.526上升为0.639,纯技术效率由0.65上升为0.858,规模效率由0.833下降为0.74。结果显示:运用三阶段DEA模型能够准确反映区域生态效率水平。根据纯技术效率和规模效率把中国31个省市分为4个梯队,各个梯队的省市应该结合自身发展的特点,有针对性地提高纯技术效率和规模效率,从而改善生态效率。

Ecological efficiency is an important index measuring and reflecting the sustainable development level of economy,resources and environment in a region.This paper makes an empirical study on the ecological efficiency of 31 provinces in China in 2014 with the three-stage DEA model.The results show that the three indexes,the total investment in environmental governance(Unit:hundred million Yuan),the second industry proportion(%),and per capita automobile ownership(car/ten thousand people)functioning as the external environmental variables have significantly impacted the regional ecological efficiency.Excluding the impact of the external environment and random error,the technical efficiency of regional ecological efficiency has increased from 0.526 to 0.639,and the pure technical efficiency has increased from 0.65 to 0.858,with the scale efficiency decreased from 0.833 to 0.74,accurately reflecting the regional ecological efficiency level.The results show that the three stage DEA model can accurately reflect the level of regional ecological efficiency.31 Chinese provinces are classified into four different echelons according to the pure technical efficiency and scale efficiency.According to the characteristics of its efficiency,every region shall emphasize differently on improving the pure technical efficiency and scale efficiency to improve the ecological efficiency.