Decoupling state of urban development and carbon emissions and its driving factors and predictions: A case study of Chengdu metropolitan area

作者：Min Xu, Xin Yang, Linglong Deng, Xiang Liao, Zhensheng Niu, Lina Hao · 发表于：Ecological Informatics · 年份：2024 · DOI：10.1016/j.ecoinf.2024.102692 · 被引用次数：20 · 研究领域：Impact of Light on Environment and Health、Air Quality and Health Impacts、Vehicle emissions and performance

Prioritizing the reduction of carbon emissions in key developing urban centers is a significant step toward achieving China's carbon peaking and neutrality goals. We examined the Chengdu metropolitan area as a case study. We proposed a coupled method for inversely estimating nighttime light and carbon emissions from energy consumption, enhancing the accuracy of fitting at the county scale and addressing the issue of missing energy consumption data. We integrated the Tapio decoupling model and the Logarithmic Mean Divisia Index (LMDI) model for comprehensive analysis, mitigating the limitations arising from the use of a singular model. Furthermore, we employed a multi-scenario analysis with an extended STIRPAT model to forecast the carbon emission trajectory of the Chengdu urban agglomeration and elucidate potential pathways for achieving carbon peaking and carbon neutrality goals. The findings indicated the following: carbon emissions are predominantly concentrated in regions characterized by high levels of urban development. Forested land serves as the primary carbon sink; however, its capacity in the Chengdu metropolitan area fails to offset carbon emissions from energy consumption; factor decomposition analysis revealed that economic development was the principal driver of carbon emissions, leading to an increase of 23.7964 million tons. Conversely, energy intensity emerged as the primary mitigation factor, reducing carbon emissions by 11.0677 million tons; The Chengdu met...