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Adjusted carbon intensity in China: Trend, driver, and network

  • Jiandong Chen
  • , Chong Xu
  • , Shuo Huang
  • , Zhiyang Shen
  • , Malin Song*
  • , Shiqi Wang
  • *Corresponding author for this work
    • Southwestern University of Finance and Economics
    • Anhui University of Finance and Economics

    Research output: Contribution to journalArticlepeer-review

    Abstract

    As a widely used indicator, carbon intensity (CI) may be overestimated because of the efficiency loss in the production process, while the corresponding complex network remains largely disregarded. This study constructed an adjusted CI (ACI) indicator by considering the technical efficiency using a non-radial directional distance function during 1997–2017 across 30 provinces in China. We showed that provincial ACI exhibited a downward trend with roughly similar trajectories of CI over the study period. Decomposition analysis implied that efficiency gains and energy intensity mainly decreased ACI, whereas the carbon factor accounted for the increase in ACI. Furthermore, social network analysis indicated that the previous hierarchical ACI spatial association structure was broken to a certain extent, thereby enhancing the network stability. This study illustrated the possible feasibility of setting up ACI-based emission reduction targets and policies, especially for economies undergoing rapid transition.

    Original languageEnglish
    Article number123916
    JournalEnergy
    Volume251
    DOIs
    Publication statusPublished - 15 Jul 2022

    UN SDGs

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

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Carbon intensity
    • Non-radial directional distance function
    • Social network analysis
    • Technical efficiency

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