王素凤,赵嘉欣.长三角城市居民家庭直接能耗碳排放空间特征及影响因素研究[J].中国环境管理,2020,12(2):131-137.
WANG Sufeng,ZHAO Jiaxin.Spatial Characteristics and Impact Factors of City Resident Household Direct Carbon Emissions in the Yangtze River Delta[J].Chinese Journal of Environmental Management,2020,12(2):131-137. |
| 长三角城市居民家庭直接能耗碳排放空间特征及影响因素研究 |
| Spatial Characteristics and Impact Factors of City Resident Household Direct Carbon Emissions in the Yangtze River Delta |
| DOI：10.16868/j.cnki.1674-6252.2020.02.131 |
| 中文关键词: 居民家庭直接能耗碳排放 空间特征 影响因素 长三角地区 |
| 英文关键词:household direct carbon emissions spatial characteristics impact factor the Yangtze River Delta |
| 基金项目:安徽省高校人文社会科学研究重点项目"产业转移背景下安徽参与长三角雾霾协同治理研究"（SK2019A0647）；安徽省哲学社会科学规划项目"长三角雾霾跨界污染的时空特征、驱动因素及补偿机制研究"（AHSKF2019D047）。 |
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| 中文摘要: |
| 目前关于碳排放的研究主要以国家和行政省（自治区、直辖市）为研究对象，围绕城市尺度家庭层面碳排放的研究相对匮乏，而家庭是社会最基本的组成单位，针对相关的碳排放特征及影响问题亟待解决。本文以2007-2016年长三角地区26个地级市数据为样本，测算城市居民家庭直接能耗碳排放量。利用K均值聚类法、空间相关性检验及空间面板建模等方法，考察城市居民家庭直接能耗碳排放量的空间演变分布特征及影响因素。结果表明：①城市居民家庭直接碳排放量高的城市位于长三角中部偏东的位置，排放量低的城市集中在西部位置，中部地区的碳排放量增长速度普遍快于其他地区。②长三角地区城市居民家庭直接能耗碳排放的空间关联程度呈"N"字形趋势，处于高高集聚状态的区域集中在以苏州市等为核心的偏中部地区，处于低低集聚状态的区域集中在西部边缘地区。③前后5年的回归结果对比表明：户均人口数由不显著的正向影响因素转变为重要的抑制因素；户均私家车与每户拥有的城市道路面积联合效应的正向影响作用越来越强烈。研究结论可为城市在动态制定碳减排政策时提供理论依据。 |
| 英文摘要: |
| At present, the research on carbon emissions is mainly based on the state and provinces, while the research on carbon emissions at the household level around the urban scale is relatively scarce. The family is the most basic component of society, and its carbon emission characteristics and impacts are urgent to be solved. Based on the data from 2007 to 2016 of 26 prefecture-level cities in the Yangtze River Delta, the household direct carbon emissions are calculated. With the methods of K-means clustering, spatial correlation tests and spatial panel model, this paper investigates the spatial distribution evolution characteristics of city household direct carbon emissions and its impact factors. The results show that:(1) Cities with high household direct carbon emissions are located to the east of the Yangtze River Delta, while cities with low emissions are concentrated in the west. Household direct carbon emissions of cities in the central region generally grow faster than those of other regions. (2) The average spatial correlation degree of the city household direct carbon emissions indicates an "N" shaped trend in the Yangtze River Delta. The areas in high-high agglomeration are concentrated in the central region with Suzhou as the core, and then the areas in low-low agglomeration are concentrated in the western fringe. (3) The comparison of the regression results of before with after five years shows that the population per household changes from insignificant positive factors to important inhibiting factors. The joint effect of private car per household and urban road area per household is more and more positive. The conclusions of the study can provide a theoretical basis for the city to dynamically formulate carbon emission reduction policies. |
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