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Integration of the international carbon market: A time-varying analysis

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  • Lyu, Chenyan
  • Scholtens, Bert

Abstract

Emission Trading Schemes (ETSs) have become vital for meeting global emission reduction targets. They are gaining momentum, as witnessed by increasing market size and improving information mechanisms. Examining key emission markets — European Union, New Zealand, California, and Hubei (China) — from April 2014 to December 2021, a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model is applied to discern the markets' connectedness. In a novel approach to global carbon market research, this study uniquely combines the TVP-VAR with the connectedness approach, overcoming fixed parameters estimation and ensuring precise parameter estimates. The approach sheds light on patterns of total, directional, and net return/volatility spillovers, striving to identify which markets act as transmitters and which are receivers. Linking market spillovers to market characteristics, events, and policies offers insights for investors and policymakers. The total connectedness index of 10–12 % suggests a relatively low level of spillover, when compared to other market integration studies. The dynamic nature of return and volatility spillovers is evident, especially during the energy crisis and Covid-19 outbreak. The EU's ETS consistently acts as a net transmitter, predominantly in return connectedness, while New Zealand's ETS emerges as a major shock receiver in both return and volatility systems. Global climate negotiations and carbon market events have only a minor impact on the level of connectedness, in contrast to energy or financial crises and the Covid-19 outbreak. By highlighting the intricacies of carbon price volatility and market transmissions, the findings equip stakeholders with invaluable, actionable insights.

Suggested Citation

  • Lyu, Chenyan & Scholtens, Bert, 2024. "Integration of the international carbon market: A time-varying analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123009607
    DOI: 10.1016/j.rser.2023.114102
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    1. Zhongxiang Zhang, 2015. "Carbon emissions trading in China: the evolution from pilots to a nationwide scheme," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 104-126, December.
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," Energy Economics, Elsevier, vol. 40(C), pages 222-232.
    6. Mazza, Paolo & Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," Finance Research Letters, Elsevier, vol. 15(C), pages 18-30.
    7. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    8. Jules Sadefo-Kamdem & Ange Nsouadi & Michel Terraza, 2016. "Time-Frequency Analysis of the Relationship Between EUA and CER Carbon Markets," Post-Print hal-02901719, HAL.
    9. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    10. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    11. Bianca Nogrady, 2021. "China launches world’s largest carbon market: but is it ambitious enough?," Nature, Nature, vol. 595(7869), pages 637-637, July.
    12. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    13. A Ciarreta and A Zarraga, 2015. "Analysis of mean and volatility price transmissions in the MIBEL and EPEX electricity spot markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    15. Diaz-Rainey, Ivan & Tulloch, Daniel J., 2018. "Carbon pricing and system linking: Lessons from the New Zealand Emissions Trading Scheme," Energy Economics, Elsevier, vol. 73(C), pages 66-79.
    16. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.
    17. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    18. Geng, Jiang-Bo & Liu, Changyu & Ji, Qiang & Zhang, Dayong, 2021. "Do oil price changes really matter for clean energy returns?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    19. Wang, Yudong & Guo, Zhuangyue, 2018. "The dynamic spillover between carbon and energy markets: New evidence," Energy, Elsevier, vol. 149(C), pages 24-33.
    20. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.
    21. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    22. Raymond Li & Roselyne Joyeux & Ronald D. Ripple, 2010. "International Steam Coal Market Integration," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 181-202.
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    1. Lyu, Chenyan & Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2024. "Volatility spillovers and carbon price in the Nordic wholesale electricity markets," Energy Economics, Elsevier, vol. 134(C).

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