IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v119y2018icp377-387.html
   My bibliography  Save this article

On the road to China's 2020 carbon intensity target from the perspective of “double control”

Author

Listed:
  • Zhu, Bangzhu
  • Jiang, Minxing
  • Wang, Kefan
  • Chevallier, Julien
  • Wang, Ping
  • Wei, Yi-Ming

Abstract

This paper investigates the path choice of achieving China's 2020 carbon intensity target by using a multiple attribute decision model from the perspective of “double control”, i.e. quantity (energy consumption and CO2 emissions) and intensity (energy intensity and carbon intensity). Firstly, we propose a novel integrated model to predict the quantity and intensity. The cumulative effects of several drivers for CO2 emissions are examined by Logarithmic Mean Divisia Index method. Secondly, the quantity and intensity are normalized to identify the feasible pathway of “double control” in various scenarios by multiple attribute decision model, and robustness test is carried out by a case study. The results show that per capita GDP has a significantly positive cumulative effect on CO2 emissions, whereas energy intensity has significantly negative one on it. The targeted carbon intensity by 2020 can be differentially realized in all scenarios. Both slow economic growth speed and substantial energy structure adjustment facilitate “double control”. The results suggest that the best pathway of “double control” depends on the policy makers’ preferences on the quantity control and intensity control. The policy implications of the findings are discussed.

Suggested Citation

  • Zhu, Bangzhu & Jiang, Minxing & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2018. "On the road to China's 2020 carbon intensity target from the perspective of “double control”," Energy Policy, Elsevier, vol. 119(C), pages 377-387.
  • Handle: RePEc:eee:enepol:v:119:y:2018:i:c:p:377-387
    DOI: 10.1016/j.enpol.2018.04.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518302416
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.04.025?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    2. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    3. Wu, C.B. & Guan, P.B. & Zhong, L.N. & Lv, J. & Hu, X.F. & Huang, G.H. & Li, C.C., 2020. "An optimized low-carbon production planning model for power industry in coal-dependent regions - A case study of Shandong, China," Energy, Elsevier, vol. 192(C).
    4. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    5. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    6. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Yuan, Yongna & Duan, Hongbo & Tsvetanov, Tsvetan G., 2020. "Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment," Energy Economics, Elsevier, vol. 89(C).
    8. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    9. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    10. Jin, Zhida & Li, Zheng & Yang, Mian, 2022. "Producer services development and manufacturing carbon intensity: Evidence from an international perspective," Energy Policy, Elsevier, vol. 170(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:enepol:v:119:y:2018:i:c:p:377-387. 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/locate/enpol .

    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.