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Original Paper | Open Access

Multi-layer risk spillover network of Chinese Energy companies under the background of carbon neutralization

Wen-Wen Zhoua, Rui-Lin Fenga( ), Xiao-bo Songb,c, Yu Shia
School of Economics and Management, Beijing University of Technology, Beijing, 100124, China
School of Management, China University of Mining and Technology (Beijing), Beijing, 100083, China
Coal Industry Planning and Design Research Institute Co., Ltd., Beijing, 100120, China

Edited by Jia-Jia Fei and Teng Zhu

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Abstract

As global climate change and environmental challenges intensify, governments across the globe are increasingly concerned about the sustainable development of the energy industry, with the identification of risk spillover directions and characteristics among energy companies playing a pivotal role in effective risk management within the sector, particularly in the context of carbon neutrality. This study uses the TVP-VAR-DY (Time-Varying Parameter–Vector Auto Regression–Dynamic) model to comprehensively investigate the intricate transmission mechanisms of risk spillover effects among energy companies from both static and dynamic perspectives. The results indicate that: 1) A small number of coal energy companies are net risk spillover exporters, playing a crucial role in the risk spillover among similar energy companies. 2) There exist differences in the network topological structure characteristics of energy companies during different events, and different types of energy companies play different roles in the network. 3) In the context of carbon neutrality, cooperation between traditional energy companies and new energy companies has increasingly become a trend.

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Petroleum Science
Pages 4512-4521

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Cite this article:
Zhou W-W, Feng R-L, Song X-b, et al. Multi-layer risk spillover network of Chinese Energy companies under the background of carbon neutralization. Petroleum Science, 2024, 21(6): 4512-4521. https://doi.org/10.1016/j.petsci.2024.11.013

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Received: 14 December 2023
Revised: 14 November 2024
Accepted: 19 November 2024
Published: 29 November 2024
© 2024 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).