IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v255y2019ics0306261919314412.html
   My bibliography  Save this article

Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives

Author

Listed:
  • Chen, Weiming
  • Lei, Yalin
  • Feng, Kuishuang
  • Wu, Sanmang
  • Li, Li

Abstract

Emission accounting can help to identify main CO2 emitters and inform emission mitigation policymaking. Previous studies have proved that the application of different accounting principles results in different emission levels, thus bring different policy implications, while the emissions enabled by primary inputs (or income-based emission) have been overlooked in studies for carbon mitigation in China. Understanding the role of primary inputs in CO2 emissions is a prerequisite to create efficient supply-side mitigation policies. Here, we conduct a quantitative study of China’s provincial production-, consumption-, and income-based CO2 emissions in a unified multi-regional input-output analysis framework. The results are compared from the three perspectives for 30 provinces in China to help the government identify the main policy targets from production, demand, and supply sides. We found that 64% and 35% of China’s emissions are transferred among provinces driven by final demands and primary inputs, respectively. Mitigation policies in heavily industrialized provinces, such as Hebei, Liaoning, and Henan, where the production-based emissions are higher than the consumption- and income-based emissions, should be focused on production side. Similarly, policies in eastern coastal developed provinces and resource-abundant provinces should be focused on demand- and supply-side, respectively. Moreover, we found that tertiary industries, which previous studies generally regard as low-carbon industries, are the major contributors to China’s income-based CO2 emissions with a total of 2026 Mt or 31% of China’s total income-based CO2 emissions. Thus, expanding tertiary industries without reducing their industrial linkages to carbon-intensive industries is not conducive to China’s emission reduction.

Suggested Citation

  • Chen, Weiming & Lei, Yalin & Feng, Kuishuang & Wu, Sanmang & Li, Li, 2019. "Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives," Applied Energy, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919314412
    DOI: 10.1016/j.apenergy.2019.113754
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919314412
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.113754?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roosse Lee & You Ra Gwak & Jung Min Sohn & See Hoon Lee, 2021. "The prediction of CO2 emissions in domestic power generation sector between 2020 and 2030 for Korea," Energy & Environment, , vol. 32(5), pages 855-873, August.
    2. Hongkuan Zang & Lirong Zhang & Ye Xu & Wei Li, 2020. "Dynamic Input–Output Analysis of a Carbon Emission System at the Aggregated and Disaggregated Levels: A Case Study in the Northeast Industrial District," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    3. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    4. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    5. Chunli Jin & Qiaoqiao Zhu & Hui Sun, 2023. "Temporal and Spatial Divergence of Embodied Carbon Emissions Transfer and the Drivers—Evidence from China’s Domestic Trade," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    6. Yingying Du & Haibin Liu & Hui Huang, 2024. "Bibliometric Analysis of Research Progress and Trends on Carbon Emission Responsibility Accounting," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    7. Homod, Raad Z. & Gaeid, Khalaf S. & Dawood, Suroor M. & Hatami, Alireza & Sahari, Khairul S., 2020. "Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings," Applied Energy, Elsevier, vol. 271(C).
    8. Wu, Sanmang & Li, Shantong & Lei, Yalin & Li, Li, 2020. "Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes," Energy Economics, Elsevier, vol. 89(C).
    9. Wang, Tiantian & Wang, Yanhua & Wang, Ke & Fu, Sha & Ding, Li, 2024. "Five-dimensional assessment of China's centralized and distributed photovoltaic potential: From solar irradiation to CO2 mitigation," Applied Energy, Elsevier, vol. 356(C).
    10. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
    11. Tianrui Wang & Yu Chen & Leya Zeng, 2022. "Spatial-Temporal Evolution Analysis of Carbon Emissions Embodied in Inter-Provincial Trade in China," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    12. Cheng, Xuelei & Wu, Xudong & Guan, Chenghe & Sun, Xudong & Zhang, Bo, 2023. "Impacts of production structure changes on global CH4 emissions: Evidences from income-based accounting and decomposition analysis," Ecological Economics, Elsevier, vol. 213(C).
    13. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
    14. Feng Xiong & Yue Su & Jingyue Wu, 2024. "Research on the Performance Management of Carbon Reduction by Local Governments from a Game Perspective—The Case of the Zhejiang Power Restriction Incident," Sustainability, MDPI, vol. 16(6), pages 1-32, March.
    15. Yue, Wencong & Li, Yangqing & Su, Meirong & Chen, Qionghong & Rong, Qiangqiang, 2023. "Carbon emissions accounting and prediction in urban agglomerations from multiple perspectives of production, consumption and income," Applied Energy, Elsevier, vol. 348(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919314412. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.