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Published June 2020 | Version v1
Journal article

Asymmetric dependence structures between emission allowances and energy markets: new evidence from China's emissions trading scheme pilots

  • 1. The New Type Key Think Tank of Zhejiang Province "Research Institution of Regulation and Public Policy" (China)
  • 2. Shanghai Normal University. School of Finance and Business (China)
  • 3. Zhejiang University of Finance and Economics. School of Finance (China)
  • 4. Shanghai Normal University. Library (China)

Description

This article investigates the dependence structure between China's emissions allowances and energy (coal, oil, and natural gas) markets using autoregressive conditional heteroskedasticity (GARCH) and mixed Copula functions. The dependence structures between China's eight emissions allowances and energy markets demonstrate significant regional heterogeneity; an increase (decrease) in coal, crude oil, and natural gas prices induces an increase (decrease) in eight regional emissions allowance prices and confirms regional divergence and market heterogeneity. The Beijing, Guangdong, Hubei, and Chongqing emissions allowances and coal markets demonstrate significant left-tail dependence structures, while the Shanghai, Tianjin, Shenzhen, and Fujian emissions allowances and coal markets demonstrate complex mixed dependence structures. Seven of China's emissions allowances and crude oil markets confirm the existence of complex asymmetric dependence structures, except for the symmetric dependence structure between the Fujian emissions allowances and crude oil markets. However, eight of China's emissions allowances and natural gas markets demonstrate complex asymmetric dependence structures.

Additional details

Identifiers

Publishing Information

Journal Title
Environmental Science and Pollution Research International
Journal Volume
27
Journal Issue
17
Journal Page Range
p. 21140-21158
ISSN
0944-1344
CODEN
ESPLEC

Optional Information

Copyright
Copyright (c) 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020