Forecasting the carbon price in China pilot emission trading scheme: A structural time series approach

Zhao Mengdi, Soo Keong Yong*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

To curb carbon emission, the Chinese pilot carbon emission trading markets were implemented in 2013 to act as a testbed for the official establishment of national carbon market in 2017. As the potential largest carbon trading market in the world, finding the key factors that drive the carbon permit prices and forecasting its future prices are important for both investors and government. This study explores the prospect of forecasting the carbon permit price in three pilot markets (Beijing, Shanghai, and Shenzhen) using the structural time series modeling (STSM) approach. The result shows that this modeling approach potentially outperforms conventional time series model in forecasting capability. Statistically, the prices of energy sources are found to be uncorrelated with the permit prices in the Chinese pilot market, in contrary to the results from other studies on the European Union carbon market.

Original languageEnglish
Title of host publicationThe State of China's State Capitalism
Subtitle of host publicationEvidence of Its Successes and Pitfalls
PublisherPalgrave Macmillan
Pages117-139
Number of pages23
ISBN (Electronic)9789811309830
ISBN (Print)9789811309823
DOIs
Publication statusPublished - 1 Jan 2018

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