长江流域资源与环境 >> 2025, Vol. 34 >> Issue (10): 2185-.doi: 10.11870/cjlyzyyhj202510004

• 区域可持续发展 • 上一篇    下一篇

基于城市分类的成渝城市群能源碳排放效率核算及影响因素分析

2,徐文杰1,俞阳1*,赵锐1,闵雪峰1,杨适1,朱良瀚1   

  1.   (1. 西南交通大学环境科学与工程学院,四川 成都 611756; 2. 中铁科学研究院集团有限公司,四川 成都 610031)
  • 出版日期:2025-10-20 发布日期:2025-10-23

Measurement of Energy Carbon Emission Efficiency and Influencing Factors for the Chengdu-Chongqing Urban Agglomeration Based on City Classification

MOU Qin1, LI Min2, XU Wen-jie1, YU Yang1, ZHAO Rui1, MIN Xue-feng1, YANG Shi1, ZHU Liang-han1   

  1. (1. School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China; 2. China Railway Academy Group Co., Ltd., Chengdu 610031, China)
  • Online:2025-10-20 Published:2025-10-23

摘要: 我国碳排放量随着经济的扩张而上升,提高城市碳排放效率是平衡经济增长和环境保护的关键。首先采用超效率SBM模型核算了成渝城市群2005~2022年的能源碳排放效率,分析了其时空演变特征。随后,基于构建的能源碳排放效率影响因素指标体系对成渝城市群16个城市进行了分类。在此基础上,采用空间面板模型分析了不同类型城市的能源碳排放效率影响因素。结果表明:2005~2022年,成渝城市群的碳排放总量逐年增加,年均增长率为3.92%;成渝城市群的逐年能源碳排放效率呈先下降后波动上升趋势。绵阳、宜宾和南充的能源碳排放效率与经济发展水平不协调;成渝城市群的能源碳排放效率呈核心高-外围低的差异化分布模式,且存在多极化现象,表现在成都和重庆为高值区域,周围城市为低值区域;经济发展、产业结构、能源强度和人口分布是影响成渝城市群各类城市能源碳排放效率提升的共性因素,而投资规模、空间布局和城市规划对城市能源碳排放效率的影响会因城市类型和发展阶段不同而存在差异。研究结果为城市碳减排提供了技术支撑,也为成渝城市群及其他城市群的低碳发展提供了政策建议。

Abstract: Carbon emissions in China is of significant attention. Improvement of carbon emission efficiency in cities is crucial to balancing economic growth and environmental protection. This study employed the super-efficiency SBM model to assess the energy carbon emission efficiency of the Chengdu-Chongqing urban agglomeration from 2005 to 2022. The spatial and temporal evolution characteristics were also analyzed. A number of 16 cities in the study area were categorized based on the constructed influencing indicator system of energy carbon emission efficiency. A spatial panel model was used to investigate the drivers of energy carbon emission efficiency in different types of cities. The results showed that, from 2005 to 2022, the total carbon emissions of the study area increased at an average annual growth rate of 3.92%. The annual energy carbon emission efficiency showed a trend of decreasing and then fluctuating upward. The efficiency of Mianyang, Yibin, and Nanchong was not coordinated with the level of economic development. The efficiency of the Chengdu-Chongqing urban agglomeration exhibited a differentiated distribution pattern with high core and low periphery, and there was a multipolar phenomenon manifested by the fact that Chengdu and Chongqing were the high-value regions and the surrounding cities were the low-value regions. Economic development, industrial structure, energy intensity, and population distribution were identified as the factors affecting the improvement of carbon emission efficiency. However, the impact of investment scale, spatial layout, and urban planning on energy carbon emission efficiency differed according to the city type and the development stage. This study provided technical support for urban carbon emission reduction and policy recommendations for low-carbon development in the Chengdu-Chongqing urban agglomeration and other urban agglomerations.

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