工业碳排放分布与区域联合减排:中国珠江流域城市案例研究

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Hongtao Jiang, Jian Yin, Bin Zhang, Danqi Wei, Xinyuan Luo, Yi Ding, Ruici Xia
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引用次数: 0

摘要

中国的低碳发展道路将为实现全球可持续发展目标做出重要贡献。由于中国各地区的自然和经济条件不同,碳排放分布存在不平衡。因此,区域合作是实现低碳发展的有效途径。本研究考察了碳排放模式,并以工业碳排放强度(ICEI)为关键因素,提出了潜在的联合减排战略。我们利用社会网络分析和地方空间关联指标(LISA)时空转换矩阵,研究了 2010-2020 年中国珠江流域城市 ICEI 的时空关联和差异。通过地理探测器和多尺度地理加权回归确定了 ICEI 的主要驱动因素。结果如下1) 珠江流域的总体 ICEI 呈下降趋势,且存在明显的空间不平衡。2)城市间存在大量有关 ICEI 的网络联系,但网络结构相对脆弱且不稳定。3)广州、佛山、东莞等经济发达城市处于网络的中心位置,同时扮演着中介的角色。4)研究发现,能源消耗、工业化、人均 GDP、城市化、科技和生产力是对 ICEI 空间分异影响最大的变量,它们的组合增加了对 ICEI 地理差异的解释力。最后,通过分析不同经济水平和 ICEI 下城市碳排放的差异和联系,研究提出了以城市间碳转移、资金支持和技术援助为核心的联合碳减排战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial Carbon Emission Distribution and Regional Joint Emission Reduction: A Case Study of Cities in the Pearl River Basin, China

China’s low-carbon development path will make significant contributions to achieving global sustainable development goals. Due to the diverse natural and economic conditions across different regions in China, there exists an imbalance in the distribution of carbon emissions. Therefore, regional cooperation serves as an effective means to attain low-carbon development. This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intensity (ICEI) as a crucial factor. We utilized social network analysis and Local Indicators of Spatial Association (LISA) space-time transition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin (PRB), China from 2010 to 2020. The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression. The results were as follows: 1) the overall ICEI in the Pearl River Basin is showing a downward trend, and there is a significant spatial imbalance. 2) There are numerous network connections between cities regarding the ICEI, but the network structure is relatively fragile and unstable. 3) Economically developed cities such as Guangzhou, Foshan, and Dongguan are in the center of the network while playing an intermediary role. 4) Energy consumption, industrialization, per capita GDP, urbanization, science and technology, and productivity are found to be the most influential variables in the spatial differentiation of ICEI, and their combination increased the explanatory power of the geographic variation of ICEI. Finally, through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI, the study suggests joint carbon reduction strategies, which are centered on carbon transfer, financial support, and technological assistance among cities.

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来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
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