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长三角地区城市碳排放效率的区域差异及空间溢出效应
摘要点击 2671  全文点击 256  投稿时间:2023-12-21  修订日期:2024-02-08
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中文关键词  城市碳排放效率  Dagum基尼系数  区域差异  空间溢出效应  长三角地区
英文关键词  urban carbon emission efficiency  Dagum Gini coefficient  regional differences  spatial spillover effect  Yangtze River Delta
作者单位E-mail
杨清可 南京财经大学公共管理学院, 南京 210023 yangqingke66@163.com 
王磊 中国科学院南京地理与湖泊研究所, 南京 210008 wanglei@niglas.ac.cn 
吕立刚 南京财经大学公共管理学院, 南京 210023  
李平星 中国科学院南京地理与湖泊研究所, 南京 210008  
范业婷 南京财经大学公共管理学院, 南京 210023
自然资源部碳中和与国土空间优化重点实验室, 南京 210023 
 
朱高立 南京财经大学公共管理学院, 南京 210023  
王雅竹 中国科学院南京地理与湖泊研究所, 南京 210008  
中文摘要
      采用超效率SBM模型测算长三角地区城市碳排放效率,选取Dagum基尼系数刻画城市碳排放效率的区域差异,运用空间面板模型探究碳排放效率的空间溢出效应. 结果表明:① 2001~2020年长三角地区城市碳排放效率均值最高仅为0.698,整体水平较低,呈扁平“倒U”形的演化趋势,纯技术效率成为影响碳排放效率变化的主要因素. ② 城市碳排放效率的基尼系数相对较高,在研究期内起伏波动,仍以增长态势为主,碳排放效率的区域差异持续增大. ③ 长三角地区城市组间差异贡献是碳排放效率差异的主要来源. Moran's I指数均为正,碳排放效率具有正向空间相关,溢出效应明显. 人口密度、经济水平与技术水平等因素影响显著,产业结构、路网密度与外资强度等因素对碳排放效率的直接效应、间接效应和总效应均未通过显著性检验. 基于要素投入产出视角,准确测算含有非期望产出的长三角地区城市碳排放效率,明确城市碳效率的差异组成根源,引入“空间溢出效应”解析碳排放效率的作用机制,可为城市低碳发展提供量化支撑和科学启示.
英文摘要
      Based on the super-efficiency SBM model with unexpected output, this study calculated the urban carbon emission efficiency in order to study the regional differences and spatial spillover effects of urban carbon emission efficiency in the Yangtze River Delta. From 2001 to 2020, the highest average of urban carbon emission efficiency in the Yangtze River Delta was only 0.698, with a low overall level and a flat "Inverted-U" evolution trend. Pure technical efficiency became the main factor driving the change in carbon emission efficiency. The Gini coefficient was relatively high, fluctuating in different years and still dominated by growth. The regional differences in urban carbon emission efficiency increased. The contribution of inter group differences among the four provinces (city) was the main source of the differences in urban carbon emission efficiency. The Moran's I index was positive, which indicated that the positive autocorrelation of carbon emission efficiency was significant, and the spatial spillover effect was obvious. The population density, economic level, and technical level had significant effects. The direct, indirect, and total effects of industrial structure, road network density, and foreign capital intensity on carbon emission efficiency did not pass the significance test. Based on the perspective of factor input-output, the study accurately measured urban carbon emission efficiency in the Yangtze River Delta, identified the causes of the differences in urban carbon efficiency, and introduced the “spatial spillover effect” to analyze the mechanism of carbon emission efficiency. This study compensated for the lack of research on the urban carbon emission efficiency in the Yangtze River Delta and provided quantitative support and scientific inspiration for the low-carbon development.

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