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Dynamic Risk Connectedness Across Electricity, Carbon, and Fossil Fuel Markets: Asymmetric Shock Responses in Representative Chinese and European Markets

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  • Yucui Wang

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zechen Wu

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Qin Wang

    (Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Jiaorong Ren

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Xiaming Ye

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Hao Qin

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Fushuan Wen

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Stable interactions among electricity, carbon allowance, and fossil fuel markets are essential for sustainable energy transition, because excessive cross-market risk transmission may affect energy affordability, carbon-price credibility, and low-carbon investment signals. This study provides comparative evidence on dynamic connectedness, tail-state shock responses, and return-based complexity in representative Chinese and European benchmark markets. Using daily market data from the Wind database for November 2021–January 2026, the empirical framework combines time-varying parameter vector autoregression (TVP-VAR), quantile vector autoregression and quantile impulse response functions (QVAR/QIRFs), and rolling multifractal detrended fluctuation analysis (MFDFA). The results show that the European benchmark system has a higher absolute connectedness level than the Chinese benchmark system: the full-sample mean total connectedness index (TCI) is 18.75 in Europe and 5.63 in China, while the crisis-period mean TCIs are 25.19 and 12.12, respectively. Post-peak adjustment depends on the reversion metric used: China shows a faster initial half-life decline from the crisis peak, whereas reversion to lower region-specific connectedness thresholds depends on the selected benchmark. Natural-gas-shock QIRFs indicate stronger upper-tail persistence in Europe, whereas China is characterized mainly by short-run directional divergence; supplementary coal-, oil-, and carbon-shock checks show that response patterns are shock-source-dependent. Electricity-return multifractal spectrum width (MFW) does not show stable full-sample explanatory power for TCI, but it provides stage-dependent auxiliary diagnostic information. These findings provide a comparative diagnostic framework for monitoring cross-market systemic risk and supporting sustainability-oriented energy-market governance under low-carbon transition.

Suggested Citation

  • Yucui Wang & Zechen Wu & Qin Wang & Jiaorong Ren & Xiaming Ye & Hao Qin & Fushuan Wen, 2026. "Dynamic Risk Connectedness Across Electricity, Carbon, and Fossil Fuel Markets: Asymmetric Shock Responses in Representative Chinese and European Markets," Sustainability, MDPI, vol. 18(13), pages 1-25, July.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:13:p:6752-:d:1982432
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