中国城市碳排放绩效:动态分解、空间差异与影响因素  

Urban Carbon Emission Performance in China:Dynamic Decomposition,Spatial Difference and Influencing Factors

作　　者：魏丽莉[1,2] 侯宇琦 曹昊煜 WEI Lili;HOU Yuqi;CAO Haoyu(School of Economics,Lanzhou University,Lanzhou 730000,China;Institute of Green Finance,Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学经济学院,甘肃兰州730000 [2]兰州大学绿色金融研究院,甘肃兰州730000

出　　处：《统计与信息论坛》2024年第2期69-83,共15页Journal of Statistics and Information

基　　金：国家社会科学基金一般项目“绿色金融赋能中国经济低碳转型的逻辑解构与实现路径研究”(23BJY239)。

摘　　要：以非径向方向距离函数为框架,构造全要素碳排放绩效指数对中国2006—2019年城市碳排放治理绩效进行测度。在此基础上从经济含义、跨期动态变化、区域均衡等层面对全要素碳排放绩效指数进行多维分解,检验中国城市碳排放绩效的影响因素。结果表明:第一,样本期内全国城市平均全要素碳排放绩效指数总体呈波动上升态势,动态分解结果显示,中国各地的平均碳排放绩效水平不断改进,创新效应对其贡献逐年增大但赶超效应贡献不足;第二,空间分异方面,珠三角、长三角、粤闽浙沿海、长江中游等东部地区城市群不仅平均碳排放绩效水平普遍较高,且碳排放绩效的增长速度较快,中西部地区仅成渝城市群碳排放绩效表现较好,中原、京津冀等城市群近年来碳排放绩效的改善速度较快;第三,基尼系数测度及其分解显示,近年中国城市碳排放绩效指数的分异程度逐步加深,分异成因主要为城市群组间差异,城市群内部差异贡献度较低;第四,Lasso分析及双固定面板模型分析结果显示,经济发展水平、清洁能源使用、金融发展、绿色环保和科技支持能够有效改善城市层面的碳排放绩效,能源消耗强度和第二产业就业人员比重对碳排放绩效具有负面影响;最后,城市群因子探测结果显示,各城市群间的驱动因子存在一定差异。Based on the non-radial direction distance function,the total factor carbon emission performance index is constructed to measure the urban carbon emission governance performance in China from 2006 to 2019.On the basis,by calculating and decomposing the dynamic index of common boundary carbon emission performance,the intertemporal dynamic change of total factor carbon emission performance index and the dynamic change of efficiency improvement,technological progress and technological gap are measured.In addition,Gini coefficient and Gini coefficient subgroup decomposition methods are used to identify the spatial differentiation and sources of carbon emission performance among urban agglomerations.Finally,Lasso analysis and geographical detector methods are used to test the influencing factors and heterogeneity of carbon emission performance of Chinese cities and urban agglomerations.Here are the outcomes and implications:During the sample period,the average total factor carbon emission performance index of all cities in China fluctuates and increases.The dynamic decomposition results show that the average carbon emission performance level of all cities in China has been continuously improved,but a few cities has promoted the production technology frontier in the same period.The contribution of best practice change effect increases year by year,but the contribution of efficiency change effect is insufficient.In terms of spatial differentiation,the average carbon emission performance of urban agglomerations in the Pearl River Delta,Yangtze River Delta,Guangdong,Fujian and Zhejiang coastal areas and the middle reaches of the Yangtze River is generally higher,while the carbon emission performance of urban agglomerations in the eastern region is relatively higher.In the central and western urban agglomerations,only Chengdu-Chongqing urban agglomerations have relatively good carbon emission performance,while other urban agglomerations have poor carbon emission performance.However,the Central Plains City cluster and the B

关 键 词：碳排放 时空格局 区域差异 共同前沿面 非径向方向距离函数 

分 类 号：F602.1[经济管理—产业经济]