长江流域资源与环境 >> 2025, Vol. 34 >> Issue (05): 976-.doi: 10.11870/cjlyzyyhj202505005

• 区域可持续发展 • 上一篇    下一篇

长江中游城市群碳排放的时空演变及其影响因素研究

邹艳芬1,黄美娟2*,黄和平3,陆宇海4
  


  1. (1.江西财经大学新能源与低碳发展研究院,江西 南昌 330013; 2.江西科技师范大学经济管理与法学院,江西 南昌 330038; 3.江西财经大学经济学院,江西 南昌 330013; 4.江西财经大学现代经济管理学院,江西 南昌 330013)
  • 出版日期:2025-05-20 发布日期:2025-05-22

Spatiotemporal Evolution and Associated Influencing Factors of Carbon Emissions in the Middle Reaches of the Yangtze River Urban Agglomerations#br# #br#

ZOU Yan-fen1,HUANG Mei-juan2,HUANG He-ping3,LU Yu-hai4#br#   


  1. (1. Institute of New Energy and Low Carbon Development, Jiangxi University of Finance and Economics, Nanchang 330013, China;2. School of Economics, Management and Law, Jiangxi Science and Technology Normal University, Nanchang 330038, China;3. School of Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China;4. College of Modern Economics and Management, Jiangxi University of Finance and Economics, Nanchang 330013, China)
  • Online:2025-05-20 Published:2025-05-22

摘要:  系统分析长江中游城市群碳排放时空演变特征事实,对促进该区域碳排放协同达峰、实现绿色一体化发展具有重要意义。根据系数法进行碳排放量测算,进而深入探讨长江中游城市群2005~2020年碳排放的时空演变特征及其影响因素。研究发现:在长江中游城市群,(1)从时间角度,碳排放总量整体呈现波动增长的态势,但碳排放强度表现为降速边际递减的趋势;(2)从空间角度,碳排放呈现出明显的高高和低低模式的正向集聚布局;(3)从时空角度,碳排放量均存在速度异质性的绝对俱乐部收敛,而非σ收敛和绝对β收敛;(4)在影响因素中,财政支出规模是驱动长江中游城市群碳排放增长的最主要因素,其次是经济发展水平和城镇化程度,而能源结构和能源强度在一定程度上抑制了碳排放的增长,是促进碳减排的主导因素。

Abstract: A systematic analysis of the spatiotemporal evolution characteristics of carbon emissions in urban agglomerations in the middle reaches of the Yangtze River is of great significance for promoting the coordinated peak of carbon emissions and achieving green integrated development. This article used the coefficient method to calculate carbon emissions, and further explored the spatiotemporal evolution characteristics and influencing factors of carbon emissions in urban agglomerations in the middle reaches of the Yangtze River from 2005 to 2020. The results showed that: (1) The overall carbon emissions showed a fluctuating growth trend, but the carbon emission intensity showed a decreasing marginal trend. (2) Carbon emissions exhibited a clear positive agglomeration layout of high-high and low-low modes. (3) Carbon emissions exhibited absolute club convergence with velocity heterogeneity, rather than σ- convergence and absolute β-convergence. (4) The scale of fiscal expenditure was the most important factor driving the growth of carbon emissions in the study area, followed by the level of economic development and urbanization. Energy structure and intensity certainly suppressed the growth of carbon emissions and were the main driving factors for promoting carbon reduction.

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