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中国城市家庭碳排放的时空分异特征及城市化因素。

Spatio-Temporal Differentiation Characteristics and Urbanization Factors of Urban Household Carbon Emissions in China.

机构信息

School of Management, Shanghai University of Engineering Science, Shanghai 201620, China.

School of Marxism, Jiangnan University, Wuxi 214000, China.

出版信息

Int J Environ Res Public Health. 2022 Apr 7;19(8):4451. doi: 10.3390/ijerph19084451.

DOI:10.3390/ijerph19084451
PMID:35457320
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9032521/
Abstract

This paper explores the spatial relationship between urbanization and urban household carbon emissions at the prefectural level and above cities in China and uses Exploratory Spatial Data Analysis (ESDA) and Geographically Weighted Regression (GWR) to reveal the extent of the impact of urbanization on urban household carbon emissions and the spatial and temporal variation characteristics. The results show that: Overall carbon emissions of urban households in cities of China showed a decreasing trend during the study period, but there were significant differences in the carbon emissions of urban households in the four major regions. In terms of the spatial and temporal characteristics of urban household carbon emissions, the urban "head effect" of urban household carbon emissions is obvious. The high-high clustering of urban household carbon emissions is characterized by a huge triangular spatial distribution of "Beijing-Tianjin-Hebei, Chengdu-Chongqing, and Shanghai". The level of urbanization in Chinese cities at the prefecture level and above shows a spatial pattern of decreasing levels of urbanization in the east, middle, and west. The four subsystems of urbanization are positively correlated with urban household carbon emissions in the same direction. The urbanization factors have a contributory effect on some cities' carbon emissions of urban households, but there are significant regional differences in the impact of urbanization factors on urban household carbon emissions in the eastern, central, and western regions of China, as they are at different stages of rapid urbanization development.

摘要

本文探讨了中国地级及以上城市的城市化与城市家庭碳排放之间的空间关系,利用探索性空间数据分析(ESDA)和地理加权回归(GWR)揭示了城市化对城市家庭碳排放的影响程度以及时空变化特征。结果表明:研究期间,中国城市家庭的总碳排放量呈下降趋势,但四大区域的城市家庭碳排放量存在显著差异。就城市家庭碳排放量的时空特征而言,城市家庭碳排放量的城市“头部效应”明显。城市家庭碳排放量的高高集聚特征表现为“京津冀、成渝、沪”巨大的三角空间分布。中国地级及以上城市的城市化水平呈现出东部、中部和西部城市化水平逐渐降低的空间格局。城市化的四个子系统与城市家庭碳排放量呈正相关同向。城市化因素对部分城市的城市家庭碳排放有贡献作用,但城市化因素对中国东部、中部和西部地区城市家庭碳排放的影响存在显著的区域差异,因为它们处于快速城市化发展的不同阶段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/c538bc16de94/ijerph-19-04451-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/80a3a0d11665/ijerph-19-04451-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/2e5b7afcc103/ijerph-19-04451-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/64eb02a738b4/ijerph-19-04451-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/0c74ba1807e7/ijerph-19-04451-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/28a4606c321b/ijerph-19-04451-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/c538bc16de94/ijerph-19-04451-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/80a3a0d11665/ijerph-19-04451-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/2e5b7afcc103/ijerph-19-04451-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/64eb02a738b4/ijerph-19-04451-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/0c74ba1807e7/ijerph-19-04451-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/28a4606c321b/ijerph-19-04451-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8f/9032521/c538bc16de94/ijerph-19-04451-g006.jpg

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PLoS One. 2021 Aug 18;16(8):e0256335. doi: 10.1371/journal.pone.0256335. eCollection 2021.
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The nexus of water-energy-food in China's tourism industry.
中国养老机构发展的城乡差异时空分析。
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Comparison of the Application of Three Methods for the Determination of Outdoor PM Design Concentrations for Fresh Air Filtration Systems in China.三种方法在中国新风过滤系统室外 PM 设计浓度应用的比较。
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