高质量发展下长江经济带生态效率及影响因素

构建NSUSBM-SFA-NSUSBM-Tobit的4阶段分析框架，基于长江经济带2007~2016年107个城市的面板数据，运用全局DEA技术计算了不可分离假设下城市的生态效率，同时通过3阶段DEA模型，将自然因素引入效率测算中.使用Tobit模型，结合新发展理念，定量分析了高质量发展视角下城市生态效率的影响因素.研究表明，2007~2016年间，不考虑各城市环境差异时，长江经济带综合生态效率均值由0.288增至0.617，增幅114.24%，于2011年跨过了0.4的低质量发展阶段，但低于0.8的高质量发展标准，湖南省增速最快，涨幅213.85%；考虑环境差异后，长江经济带综合生态效率均值由0.150增至0.395，涨幅163.33%，其中上海市增速最快，涨幅311.52%，上海、江苏与浙江的综合效率在大部分年份排名前3位，江西、贵州与云南则排名后3位.创新、城乡协调、政府环境投资、引进外资与推进城镇化均有助于提升城市生态效率.

Measurement and influence factors of ecological efficiency of the Yangtze River economic belt under high quality development conditions

The four-stage analysis framework of NSUSBM-SFA-NSUSBM-Tobit was constructed in this paper. Based on the panel data of 107 cities in the Yangtze River economic belt from 2007 to 2016, the global DEA technology was used to calculate the eco-efficiency of cities under the inseparable assumption. Then the three-stage DEA model was used to introduce natural factors. And combined with the new development concept, The Tobit model was used to analyze the influencing factors of urban eco-efficiency. Regardless of the environmental differences in the cities, the average comprehensive ecological efficiency in the Yangtze River economic zone increased from 0.288 to 0.617 in 2007~2016, with an increase of 114.24%. It had crossed the low-quality development stage of 0.4, but was still lower than the high-quality development standard of 0.8 in 2016. The ecological efficiency of Hunan Province grew fastest, with an increase of 213.85%. Considering the environmental differences, the average comprehensive ecological efficiency of the Yangtze River economic zone increased from 0.150 to 0.395 in 2007~2016, with an increase of 163.33%. Shanghai grew fastest, with an increase of 311.52%. Shanghai, Jiangsu and Zhejiang ranked the top three in most years, while Jiangxi, Guizhou and Yunnan ranked the bottom three. Innovation, urban-rural coordination, government environmental investment, foreign investment and urbanization all contributed to eco-efficiency.