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 language | English |
|---|---|
| Article number | 123916 |
| Journal | Energy |
| Volume | 251 |
| DOIs | |
| Publication status | Published - 15 Jul 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Carbon intensity
- Non-radial directional distance function
- Social network analysis
- Technical efficiency
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