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Spillover effect among independent carbon markets: evidence from China’s carbon markets

Yaxue Yan, Weijuan Liang, Banban Wang*, Xiaoling Zhang*

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Carbon pricing is one of the key policy tools in the green recovery of the post-COVID-19 era. As linkages among ETSs worldwide are future trend, the carbon price spillover effects among markets are needed to be explored. This study examines the spillover effects and dynamic linkages of carbon prices using the example of China’s pilot carbon markets during 2015–2019, which are seemingly independent carbon markets. A structural vector error correction model and an improved directed acyclic graph approach are applied. The main results are as follows. First, the linkages among the five pilots demonstrate features of “two small-world networks.” Specifically, these are the Guangdong and Hubei network and the Beijing, Shenzhen and Shanghai network. Second, Shenzhen, Beijing and Hubei ranked as the top three pilots in terms of external spillover effect, accounting for 36.25%, 29.76%, and 25.59%, respectively. Second, Guangdong pilot has increasing influence on the Hubei, Shenzhen and Beijing pilots. Third, trading activities are positive contributors to the spillover, while the allowance illiquidity ratio and volatility are negative factors. The findings imply that to retain an expectable abatement costs in achieving the climate goals in green recovery, carbon prices in other potentially related markets should be considered by the policy maker in addition to its own policy design. © 2022, 
    The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
    Original languageEnglish
    Pages (from-to)3065–3093
    JournalEconomic Change and Restructuring
    Volume56
    Issue number5
    Online published4 Aug 2022
    DOIs
    Publication statusPublished - Oct 2023

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Research Keywords

    • China’s carbon market
    • Improved directed acyclic graph approach
    • Spillover effect
    • Structural vector error correction model

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