Skip to main navigation Skip to search Skip to main content

Heterogeneity in carbon footprint trends and trade-induced emissions in China’s urban agglomerations

  • Chengqi Xia
  • , Can Wang
  • , Ying Fan
  • , Kangxin An
  • , Yiming Wang
  • , Junnian Song
  • , Han Zhang
  • , Pengfei Du
  • , Jing Meng
  • , Yuli Shan
  • , Yong Yan
  • , Heran Zheng*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Downloads (Pure)

Abstract

Mitigation at the city level is vital for climate goals, yet most strategies overlook intercity interactions. This study examines carbon footprint changes in 16 Chinese urban agglomerations from 2012 to 2017 using city-level input-output models. Five agglomerations reduced emissions, six increased, and five plateaued. Drivers of reductions include consumption decline (Harbin-Changchun, 97.7%), low-carbon consumption (Beijing-Tianjin-Hebei, 701.4%), and technological advancement (Shandong Peninsula, 124.3%). Increases stem from rising per capita consumption, while plateaus reflect a balance of production and consumption factors. Although local emissions fell by 351.9 Mt, intercity trade raised external emissions by 801.7 Mt. A no-trade scenario shows trade-induced reductions declined from 1562.7 Mt in 2012 to 1374.5 Mt in 2017, indicating weakening trade mitigation. By 2017, 11 agglomerations still achieved net trade reductions, while others saw increases, underscoring regional heterogeneity. The findings stress the need for region-specific strategies integrating production, consumption, and trade to reduce urban carbon footprints effectively.
Original languageEnglish
Article number723
Number of pages11
JournalCommunications Earth and Environment
Volume6
Issue number1
DOIs
Publication statusPublished - 30 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Fingerprint

Dive into the research topics of 'Heterogeneity in carbon footprint trends and trade-induced emissions in China’s urban agglomerations'. Together they form a unique fingerprint.

Cite this