IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v137y2024ics0140988324004845.html
   My bibliography  Save this article

Interaction effects of market-based and incentive-driven low-carbon policies on carbon emissions

Author

Listed:
  • Jia, Zhijie
  • Wen, Shiyan

Abstract

It is imperative to address global climate change through the formulation and implementation of low-carbon policies. While existing research predominantly analyzes individual policy impacts, this research adopts a Propensity Score Matching (PSM)-weighted Difference-in-Differences (DID) strategy, integrated with an innovative policy-matching methodology, to systematically examine the interaction effects between market-based constraint low-carbon policies and incentive-driven guiding low-carbon policies. The empirical findings underscore substantial positive interaction effects resulting from the combined implementation of these policy types. Even after meticulous control for the individual policies, the amalgamation yields a notable additional emission reduction effect of 0.0571%. This effect further intensifies, reaching 0.132%, when exclusively considering the joint impact of these policies, while robustness is maintained across varied weighting schemes. Moreover, the study elucidates the pivotal role of green innovation as a complete mediator in this synergy, with industrial restructure contributing 18.49% to the overall mediation effect. Despite the ostensibly weak constraints imposed by Low-Carbon City Pilots, the confluence of policies significantly amplifies the emission reduction effects of the Emission Trading Scheme and bolsters the impetus for green innovation. Ultimately, this study not only advances collaborative perspectives on policy effect identification but also offers valuable insights into the combined efficacy of diverse low-carbon policies.

Suggested Citation

  • Jia, Zhijie & Wen, Shiyan, 2024. "Interaction effects of market-based and incentive-driven low-carbon policies on carbon emissions," Energy Economics, Elsevier, vol. 137(C).
  • Handle: RePEc:eee:eneeco:v:137:y:2024:i:c:s0140988324004845
    DOI: 10.1016/j.eneco.2024.107776
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324004845
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2024.107776?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.

    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:eneeco:v:137:y:2024:i:c:s0140988324004845. 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/eneco .

    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.