<p>Achieving carbon peak at the city level is crucial for China in the context of its carbon peaking and carbon neutrality goals. Here we established a framework based on MRIO and SDA to investigate the stages, pathways, and key driving factors associated with carbon peaking processes in four Chinese megacities from 2007 to 2017. Our result reveals three-stage evolutionary pathways for urban carbon peaking. In the early stage, declining energy intensity is the main driver of emission reductions, while energy structure changes have limited effects. From 2012 to 2017, lower energy intensity cut emissions by 35.2 Mt in Beijing, 89.4 Mt in Tianjin, 97.5 Mt in Shanghai, and 72.9 Mt in Chongqing. As efficiency gains diminished, accelerating energy structure adjustment toward cleaner energy became crucial, further reducing emissions by 8.2 Mt in Beijing, 5.3 Mt in Tianjin, and 2.9 Mt in Chongqing. The second stage is characterized by industrial transfer, revealing three interregional transfer patterns: emissions-only shifts, simultaneous shifts of emissions and economic benefits, and limited outsourcing. However, this spatial redistribution alone fails to address carbon challenges fundamentally. Consequently, transferring regions must pursue industrial upgrading, marking the third stage, which is dominated by the structural transformation of industries. The transition from traditional manufacturing to strategic emerging manufacturing and services not only reduces total carbon emissions but also enhances economic benefits and job opportunities. The three-stage pathway identified in this study provides valuable guidance for achieving carbon peak at both city and national levels in China.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Pathways towards carbon emission peaking in megacities in China

  • Ludi Liu,
  • Jingwei Guo,
  • Yanqi Liu,
  • Ailin Kang,
  • Songyan Wang,
  • Yiqing Huang,
  • Xin Tian

摘要

Achieving carbon peak at the city level is crucial for China in the context of its carbon peaking and carbon neutrality goals. Here we established a framework based on MRIO and SDA to investigate the stages, pathways, and key driving factors associated with carbon peaking processes in four Chinese megacities from 2007 to 2017. Our result reveals three-stage evolutionary pathways for urban carbon peaking. In the early stage, declining energy intensity is the main driver of emission reductions, while energy structure changes have limited effects. From 2012 to 2017, lower energy intensity cut emissions by 35.2 Mt in Beijing, 89.4 Mt in Tianjin, 97.5 Mt in Shanghai, and 72.9 Mt in Chongqing. As efficiency gains diminished, accelerating energy structure adjustment toward cleaner energy became crucial, further reducing emissions by 8.2 Mt in Beijing, 5.3 Mt in Tianjin, and 2.9 Mt in Chongqing. The second stage is characterized by industrial transfer, revealing three interregional transfer patterns: emissions-only shifts, simultaneous shifts of emissions and economic benefits, and limited outsourcing. However, this spatial redistribution alone fails to address carbon challenges fundamentally. Consequently, transferring regions must pursue industrial upgrading, marking the third stage, which is dominated by the structural transformation of industries. The transition from traditional manufacturing to strategic emerging manufacturing and services not only reduces total carbon emissions but also enhances economic benefits and job opportunities. The three-stage pathway identified in this study provides valuable guidance for achieving carbon peak at both city and national levels in China.