IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v144y2025ics0140988325001549.html
   My bibliography  Save this article

Environmental policy and distance to firms: An analysis of publicly listed firms in China

Author

Listed:
  • Dogah, Kingsley E.
  • Jiang, Shang
  • Kuscevic, Casto Martín Montero
  • Lim, King Yoong

Abstract

Focusing on the seven regions with pilot emission trading scheme (ETS) in China, we develop a novel theory explaining firms’ environmental investment (EI) decision, which is endogenous to the spatial effects associated with waste-recycling facility (WRF) proximity and ETS induced peer-to-peer learning. A novel feature is that, due to the use of resource inputs, firms incur both recyclable and carbon-intensive waste disposal costs. This leads to two empirically testable propositions and a conjecture, which we evaluate based on cross-sectional analyses of 1717 public listed firms in China during the 2015–20 periods. We find WRF proximity to correlate positively with observed EI take-up, and this is subsequently associated with higher labor productivity. However, ETS-infused peer learning effect has the opposite effect in that proximity to an investing neighbor results seems to be associated with freeriding, especially when the difference in internal margins between firms is accounted for. While there are overall positive spatial spillover effects, this results in policy rivalry (between the two policies), where the freeriding effect not only results in a lack of ETS policy effect onto labor productivity of even the 219 EI firms, but also mitigates the positive WRF proximity effect.

Suggested Citation

  • Dogah, Kingsley E. & Jiang, Shang & Kuscevic, Casto Martín Montero & Lim, King Yoong, 2025. "Environmental policy and distance to firms: An analysis of publicly listed firms in China," Energy Economics, Elsevier, vol. 144(C).
  • Handle: RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001549
    DOI: 10.1016/j.eneco.2025.108330
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325001549
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108330?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.

    More about this item

    Keywords

    China; Emission trading scheme; Environmental awareness; Environmental investment; Firm-level analysis; Waste recycling;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    Statistics

    Access and download statistics

    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:144:y:2025:i:c:s0140988325001549. 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.