ORIGINAL RESEARCH
Periodic Study of Carbon Market Fluctuation
in China Based on H-P Filter and ARCH
Models: a Case Study of Shenzhen
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College of Energy Engineering, Xi’an University of Science and Technology, Xi’an, 710054, China
Submission date: 2023-11-10
Final revision date: 2023-12-04
Acceptance date: 2024-01-19
Online publication date: 2024-04-30
Publication date: 2024-06-27
Corresponding author
Jiongwen Chen
College of Energy Engineering, Xi’an University of Science and Technology, Xi’an, 710054, China
Pol. J. Environ. Stud. 2024;33(5):5027-5035
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ABSTRACT
The dual-carbon strategy is a basic national policy to ensure high-quality and sustainable
development of China’s economy. Scientific understanding of carbon price fluctuations aids
in mitigating investment risks, fostering a steady development of the carbon market, and enhancing
the domestic carbon market’s pricing competence in the global market. Notably, the carbon trading
prices in China exhibit significant volatility and periodic variations, underscoring the imperative to
enhance a unified carbon market nationwide. This article selects Shenzhen’s monthly carbon emissions
trading price data from August 2013 to February 2023 to represent the national carbon market price.
Based on the analysis of massive data, multivariate analysis methods such as H-P filtering method
and ARCH clustering model were used to study the fluctuation patterns and cyclical characteristics
of Shenzhen’s carbon emissions trading prices. The results show that: The domestic carbon price has
the remarkable feature of “falling in fluctuation”, showing four complete cycles, with each cycle time
range of 10-26 months; The peak and valley values show a downward trend of varying degrees, with
the peak and valley values changing from positive to negative, and the cycle types show a steep
downward trend; The carbon price yield series has ARCH effect. The research results reveal
the basic laws of my country’s carbon price fluctuations and provide theoretical basis and data support
for improving the global pricing capability of the domestic carbon market.