Research on Embodied Carbon Transfer Measurement and Carbon Compensation among Regions in China

Int J Environ Res Public Health. 2023 Feb 3;20(3):2761. doi: 10.3390/ijerph20032761.

Abstract

The existence of interprovincial embodied carbon transfer not only makes it difficult to achieve carbon emission reductions but also exacerbates the inequity, inefficiency, and high costs of interprovincial carbon emission reduction rights and responsibilities. This paper uses multi-regional input-output analysis (MRIOA) to measure the interprovincial embodied carbon transfer in 2017, obtains the net carbon transfer between 30 provinces (municipalities and autonomous regions) and eight regions in 2017, and accounts for the interprovincial carbon compensation amount based on the carbon price in the national carbon market. This study finds that carbon transfer from economically developed provinces to less developed provinces still exists in China, and the overall distribution shows a spatial transfer pattern from south to north and from east to west, with the northwestern region bearing most of the carbon emission pressure for which it should receive corresponding financial compensation. As part of the process to achieve the "dual carbon" target, appropriate emission reduction policies should be formulated according to the characteristics of provincial carbon transfer and the principle of "who benefits, who compensates", and economically developed regions should give corresponding financial or technical compensation to less developed regions based on net carbon transfer. Compensation and support should be given to less developed regions based on net carbon transfer to prevent further regional development imbalances.

Keywords: carbon compensation; embodied carbon; multiregional input–output model; net carbon transfer; spatial layout.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbon Dioxide* / analysis
  • Carbon* / analysis
  • China

Substances

  • Carbon
  • Carbon Dioxide

Grants and funding

This research was funded by the National Social Science Fund of China (grant numbers 19BJL046 and 21BJY013).