摘要
基于2005—2016年长江经济带108个地级及以上城市的面板数据,运用考虑非期望产出的超效率SBM模型和ML指数对各城市绿色经济效率及其分解项进行测度,揭示其时空分布与演化特征,并采用Tobit模型探究影响长江经济带绿色经济效率的主要因素。结果表明:长江经济带绿色经济效率整体水平偏低,但呈波动上升趋势,上、中、下游区域差异显著,呈现出下游高于上游、上游高于中游的空间格局。长江经济带绿色经济效率的增长主要来源于技术进步,经济发展水平与绿色经济效率呈先抑制后促进的"U"型关系,科技水平、教育投入和环境规制对绿色经济效率有显著的促进作用,对外开放水平和产业结构对绿色经济效率具有显著的抑制作用。基于此,提出促进长江经济带绿色经济效率提升的政策建议。
Based on the panel data of 108 cities in the Yangtze River Economic Belt from 2005 to 2016,this paper uses the Super-Efficiency SBM Model and the Malmquist-Luenbergerindex considering undesired output to measure the green economic efficiency and its decomposition values of each city,followed by revealing their temporal and spatial distribution and evolutionary characteristics,and uses the Tobit model to explore the influencing factors of the green economic efficiency of the Yangtze River Economic Belt.The research shows that:the overall green energy efficiency level of the Yangtze River Economic Belt is low,but it shows an upward trend.There are significant regional differences between the upstream,midstream and downstream,and the green economic efficiency presents a spatial pattern of downstream>upstream>midstream.Technological progress is the main source of the growth ofgreen economy efficiency in the Yangtze River Economic Belt.There is an U-shaped relationship betweenper capita GDP and green economic efficiency.Science and technology level,education investment and environmental regulations have positive impacts on promoting the green economic efficiency,while opening-uplevel and industrial structure have significant negative impacts.Finally,policy implications are put forward in order to promote the efficiency of green economic in the Yangtze River Economic Belt.
作者
吴遵杰
巫南杰
WU Zun-jie;WU Nan-jie
出处
《城市问题》
CSSCI
北大核心
2021年第1期52-62,89,共12页
Urban Problems
基金
国家社会科学基金项目(15BJY006)。
关键词
长江经济带
绿色经济效率
超效率SBM模型
ML指数
TOBIT模型
the Yangtze River Economic Belt
green economic efficiency
Super-Efficiency SBM Model
Malmquist-Luenberger Index
Tobit Model
