[Spatio-temporal Evolution and Driving Forces of Transportation Carbon Emissions in Jiangxi, Fujian, and Guangdong Regions].

Q2 Environmental Science
Lan-Yi Zhang, Da-Wei Weng, Shuo Wang, Yi-Nuo Xu, Cui-Yun Luo, Xi-Sheng Hu, Zhou-Xuan Lu
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引用次数: 0

Abstract

The Jiangxi, Fujian, and Guangdong regions are located close to the southeast coastal area and serve as the hinterland for the Pearl River Delta; Yangtze River Delta; and Guangdong, Fujian, and Zhejiang regions. With the rapid economic development and urbanization in Jiangxi, Fujian, and Guangdong, transportation-related high carbon emissions have become increasingly prominent. The 14th Five-Year Plan proposes to deepen the implementation of the regional coordinated development strategy and improve the mechanism for regional coordination. Academic research and policy attention have long focused on economically developed regions, such as the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin-Hebei Region. The economic development models and mechanisms in these regions have been extensively studied and validated. However, the Jiangxi, Fujian, and Guangdong regions exhibit characteristics of uneven economic development, with both economically developed areas, such as Guangdong Province and relatively underdeveloped inland regions like Jiangxi Province. Research on the Jiangxi, Fujian, and Guangdong regions could contribute to a comprehensive understanding of the diversity and imbalance in regional economic development, providing references for other underdeveloped areas. Therefore, facing challenges of spatial-temporal differences in transportation carbon emissions in Jiangxi, Fujian, and Guangdong regions with unclear driving forces, this study introduces standard deviation ellipse analysis to explore the spatial distribution characteristics of transportation carbon emissions (2009-2021). Additionally, logarithmic mean divisia index (LMDI) and multi-regional spatial decomposition (M-R) models are constructed to explore temporal-spatial drivers contributing towards spatial differentiation of carbon emissions. The findings are revealed below: ① The total traffic-related carbon emissions within the Jiangxi, Fujian, and Guangdong regions have been increasing annually and continue to shift toward the "northeast-southwest" direction, with the epicenter of carbon emission lying at the border between the Guangdong and Fujian provinces. ② The level of economic development and population size were the main driving factors for transportation carbon emissions, whereas energy intensity was a key restraining factor. ③ Notable spatial disparities existed between carbon emissions and average levels across the three provinces. The research findings can offer crucial insights for formulating tailored emission reduction policies and collaborative governance measures in the regions of Jiangxi, Fujian, and Guangdong.

江西、福建、广东地区交通运输碳排放时空演变及驱动力分析[j]。
赣、闽、粤地区毗邻东南沿海,是珠三角、长三角和粤闽浙地区的腹地。随着江西、福建、广东等地经济的快速发展和城市化进程的加快,交通运输相关的高碳排放问题日益突出。“十四五”规划提出,深化实施区域协调发展战略,完善区域协调机制。长期以来,学术研究和政策关注一直集中在经济发达地区,如长三角、珠江三角洲和京津冀地区。这些地区的经济发展模式和机制得到了广泛的研究和验证。而江西、福建、广东地区则表现出经济发展不平衡的特点,既有广东省等经济发达地区,也有江西等相对欠发达的内陆地区。对江西、福建和广东地区的研究有助于全面认识区域经济发展的多样性和不平衡性,为其他欠发达地区提供借鉴。因此,面对江西、福建、广东三地交通运输碳排放时空差异的挑战,本研究引入标准差椭圆分析,探讨2009-2021年三地交通运输碳排放的空间分布特征。此外,构建了对数平均分度指数(LMDI)和多区域空间分解(M-R)模型,探讨了影响碳排放空间分异的时空驱动因素。结果表明:①赣、闽、粤地区交通相关碳排放总量呈逐年增加趋势,并继续向“东北—西南”方向移动,碳排放的震中位于粤闽边界;②经济发展水平和人口规模是交通运输碳排放的主要驱动因素,能源强度是交通运输碳排放的关键制约因素。③三省碳排放与平均水平存在显著的空间差异。研究结果可以为江西、福建和广东地区制定有针对性的减排政策和协同治理措施提供重要见解。
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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