[Spatiotemporal Evolution and Influencing Factors of Carbon Emissions in China's Four Major Urban Agglomerations].

Q2 Environmental Science
Hai-Peng Wu, Qiao-Xing Li
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引用次数: 0

Abstract

Guided by the national strategic goals of carbon peaking and carbon neutrality, it is of great significance to investigate the spatiotemporal evolution characteristics and driving factors of carbon emissions in China's major urban agglomerations. Based on the integrated nighttime light index and energy statistical data, this study estimates the carbon emissions of the Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), Pearl River Delta (PRD), and Chengdu-Chongqing (CC) urban agglomerations from 2000 to 2022. By analyzing carbon emission intensity and per capita carbon emissions, the spatiotemporal evolution patterns and regional disparities are explored. Furthermore, the logarithmic mean Divisia index (LMDI) decomposition method is employed to explore the dynamic changes of the influencing factors. The results reveal that total carbon emissions in the four urban agglomerations experienced rapid growth in the early stage, followed by a noticeable slowdown. Spatially, carbon emissions expanded from densely concentrated core cities to surrounding regions, with intra-regional emissions gradually becoming more balanced. Emission intensity generally showed a downward trend, with steady declines in the YRD and PRD regions and a more significant decrease in the BTH Region, although it continued to maintain a relatively high level. Per capita carbon emissions demonstrated diversified trajectories along with economic development: The YRD and BTH regions underwent inter-quartile transitions, while the PRD Region maintained a low and stable level, and the CC region exhibited greater internal variability. Economic growth remained the primary driver of carbon emission increases, whereas the effect of population scale had weakened. Improvements in industrial energy efficiency and the optimization of industrial structure played a major role in curbing emissions, and the contribution of energy structure adjustment had become increasingly prominent. In summary, the evolution of carbon emissions in China's four major urban agglomerations was characterized by decelerated growth, spatial diffusion, and persistent regional heterogeneity. To promote a low-carbon transition, region-specific and coordinated strategies should be strengthened moving forward.

中国四大城市群碳排放时空演变及影响因素[j]。
在国家碳调峰和碳中和战略目标的指导下,研究中国主要城市群碳排放的时空演变特征及其驱动因素具有重要意义。基于综合夜间灯光指数和能源统计数据,对2000 - 2022年京津冀、长三角、珠三角和成渝城市群的碳排放量进行了估算。通过对碳排放强度和人均碳排放量的分析,探讨了城市碳排放的时空演变格局和区域差异。采用对数平均分度指数(LMDI)分解方法,探讨影响因素的动态变化。结果表明,四大城市群碳排放总量在发展初期均呈现快速增长趋势,随后又呈现明显放缓趋势;空间上,碳排放从密集的核心城市向周边地区扩展,区域内碳排放逐渐趋于平衡。排放强度总体呈下降趋势,长三角和珠三角地区持续下降,京津冀地区下降较为明显,但仍保持较高水平。人均碳排放随经济发展呈现多样化的变化轨迹:长三角和北京地区经历了四分位数间的过渡,珠三角地区保持了较低的稳定水平,而中部地区则表现出较大的内部变异。经济增长仍然是碳排放增长的主要驱动力,人口规模的影响减弱。工业能效的提高和产业结构的优化对减排发挥了重要作用,能源结构调整的作用日益突出。综上所述,中国四大城市群碳排放的演变呈现出增长减速、空间扩散、区域异质性持续的特征。为促进低碳转型,应加强有区域特色的协调战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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