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

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  • 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
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    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

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