Carbon emissions intensity reduction target for China's power industry: An efficiency and productivity perspective

Yujiao Xian, Ke Wang*, Xunpeng Shi, Chi Zhang, Yi Ming Wei, Zhimin Huang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    68 Citations (Scopus)

    Abstract

    This paper proposes a scenario analysis to address whether the national and provincial CO2 emissions intensity reduction target during 2016–2020 would be achievable for China's power industry with the identification of change on carbon productivity. This productivity indicator is further decomposed to investigate contributions of different sources to productivity growth when there exists technological heterogeneity. Evaluation results show that even if all electricity-generating units in each region were able to adopt the best practice, the nationwide 18% intensity reduction target is not feasible through improving technical efficiency or upgrading technology on electricity generation and carbon abatement in a short or medium term. The existence of regional technological heterogeneity in power generation and associated CO2 emissions reduction processes implies the necessity of more differentiated regulations and policies for emission reduction across China's regions and inter-regional technology transfer. The emerging national emission trading scheme could easy some challenges in formulating emission policy for heterogeneous regions.

    Original languageEnglish
    Pages (from-to)1022-1034
    Number of pages13
    JournalJournal of Cleaner Production
    Volume197
    DOIs
    Publication statusPublished - 1 Oct 2018

    Keywords

    • Data envelopment analysis (DEA)
    • Endogenous directional distance function (DDF)
    • Heterogeneity
    • Meta-technology frontier
    • Technological gap

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