Model Construction and Scenario Analysis for Carbon Dioxide Emissions from Energy Consumption in Jiangsu Province: Based on the STIRPAT Extended Model

作者：Ying Liu, Lvhan Yang, Meng Wu, Jinxian He, Wenqiang Wang, Yunpeng Li, Renjiang Huang, Dongfang Liu, Heyao Tan · 发表于：Sustainability · 年份：2025 · DOI：10.3390/su17198961 · 被引用次数：4 · 研究领域：Environmental Impact and Sustainability、Energy, Environment, Economic Growth、Climate Change Policy and Economics

Against the backdrop of China’s “dual carbon” strategy (carbon peaking and carbon neutrality), provincial-level carbon emission research is crucial for the implementation of related policies. However, existing studies insufficiently cover the driving mechanisms and scenario prediction for energy-importing provinces. This study can provide theoretical references for similar provinces in China to conduct research on carbon dioxide emissions from energy consumption. The carbon dioxide emissions from energy consumption in Jiangsu Province between 2000 and 2023 were calculated using the carbon emission coefficient method. The Tapio decoupling index model was adopted to evaluate the decoupling relationship between economic growth and carbon dioxide emissions from energy consumption in Jiangsu. An extended STIRPAT model was established to predict carbon dioxide emissions from energy consumption in Jiangsu, and this model was applied to analyze the emissions under three scenarios (baseline scenario, low-carbon scenario, and enhanced low-carbon scenario) during 2024–2030. The results show the following: (1) During 2000–2023, the carbon dioxide emissions from energy consumption in Jiangsu Province ranged from 215.22428 million tons to 783.94270 million tons, with an average of 549.96280 million tons. (2) The decoupling status between carbon dioxide emissions from energy consumption and economic development in Jiangsu was dominated by weak decoupling, accounting for 91.304%, while a sma...