Analysis of the transmission characteristics of China's carbon market transaction price volatility from the perspective of a complex network

被引:20
|
作者
Jia, Jingjing [1 ]
Li, Huajiao [1 ,2 ,3 ]
Zhou, Jinsheng [1 ]
Jiang, Meihui [1 ,2 ,3 ]
Dong, Di [1 ,2 ,3 ]
机构
[1] China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China
[2] Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China
[3] China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China
关键词
Carbon-trade price; Price fluctuation; Conducting rules; Complex network; MULTISCALE;
D O I
10.1007/s11356-017-1035-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Research on the price fluctuation transmission of the carbon trading pilot market is of great significance for the establishment of China's unified carbon market and its development in the future. In this paper, the carbon market transaction prices of Beijing, Shanghai, Tianjin, Shenzhen, and Guangdong were selected from December 29, 2013 to March 26, 2016, as sample data. Based on the view of the complex network theory, we construct a price fluctuation transmission network model of five pilot carbon markets in China, with the purposes of analyzing the topological features of this network, including point intensity, weighted clustering coefficient, betweenness centrality, and community structure, and elucidating the characteristics and transmission mechanism of price fluctuation in China's five pilot cities. The results of point intensity and weighted clustering coefficient show that the carbon prices in the five markets remained unchanged and transmitted smoothly in general, and price fragmentation is serious; however, at some point, the price fluctuates with mass phenomena. The result of betweenness centrality reflects that a small number of price fluctuations can control the whole market carbon price transmission and price fluctuation evolves in an alternate manner. The study provides direction for the scientific management of the carbon price. Policy makers should take a positive role in promoting market activity, preventing the risks that may arise from mass trade and scientifically forecasting the volatility of trading prices, which will provide experience for the establishment of a unified carbon market in China.
引用
收藏
页码:7369 / 7381
页数:13
相关论文
共 50 条
  • [41] Volatility modeling and the asymmetric effect for China's carbon trading pilot market
    Fu, Yang
    Zheng, Zeyu
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 542
  • [42] Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network
    Song, Jiekun
    Jiang, Lina
    He, Zeguo
    Liu, Zhicheng
    Leng, Xueli
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (15)
  • [43] Research on Interest Rate Transmission Mechanism of China's Bond Market:Empirical Analysis Based on Granger Causality Complex Network
    Xiao CUI
    Mo YIN
    Kun GUO
    Yijing WANG
    [J]. Journal of Systems Science and Information, 2023, (05) : 604 - 621
  • [44] Market momentum amplifies market volatility risk: Evidence from China's equity market
    Liang, Chao
    Huynh, Luu Duc Toan
    Li, Yan
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2023, 88
  • [45] The Evolution Characteristics of Systemic Risk in China's Stock Market Based on a Dynamic Complex Network
    Shi, Yong
    Zheng, Yuanchun
    Guo, Kun
    Jin, Zhenni
    Huang, Zili
    [J]. ENTROPY, 2020, 22 (06)
  • [46] Carbon market volatility analysis based on structural breaks: Evidence from EU-ETS and China
    Yu, Haixu
    Wang, He
    Liang, Chuanyu
    Liu, Zhaohua
    Wang, Susheng
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [47] Price discovery, Volatility and Information Transmission: The Empirical Evidence from A-share Market and H-share Market
    Li Baoren
    Liu Yin
    Zhang Nan
    [J]. STATISTIC APPLICATION IN SCIENTIFIC AND SOCIAL REFORMATION, 2010, : 984 - 991
  • [48] Research on the Spillover Effect of China's Carbon Market from the Perspective of Regional Cooperation
    Liu, Jing
    Ding, Xin
    Song, Xiaoqian
    Dong, Tao
    Zhao, Aiwen
    Tan, Mi
    [J]. ENERGIES, 2023, 16 (02)
  • [49] Research on Carbon Allowance Price Non-Linear Structure Characteristics and Regime Switching Mechanism in China's Carbon Market
    Wei, Jia
    Chen, Jiahe
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (02): : 1375 - 1389
  • [50] Analysis of the Relative Price in China's Energy Market for Reducing the Emissions from Consumption
    Jiang, Shumin
    Guo, Jingtao
    Yang, Chen
    Ding, Zhanwen
    Tian, Lixin
    [J]. ENERGIES, 2017, 10 (05)