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A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market

Citations

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Cited by:

  1. Cai, Lifeng & Du, Anna Min & Du, Qunyang & Goodell, John W. & Li, Zhongyuan, 2025. "Carbon emission trading policy and energy transition: Perspective from natural gas consumption in China," Energy Economics, Elsevier, vol. 150(C).
  2. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
  3. Li, Cunfang & Zhang, Bo & Lai, Yongzeng & Dong, Mei & Li, Danping, 2019. "Does the trans-regional transfer of resource-oriented enterprises generate a stress effect?," Resources Policy, Elsevier, vol. 64(C).
  4. Guo, Li-Yang & Feng, Chao & Yang, Jun, 2022. "Can energy predict the regional prices of carbon emission allowances in China?," International Review of Financial Analysis, Elsevier, vol. 82(C).
  5. Ji, Ling & Zhang, Beibei & Huang, Guohe & Wang, Peng, 2020. "A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexus - A case study of Tianjin, China," Energy, Elsevier, vol. 190(C).
  6. Liu, Jianing & Man, Yuanyuan & Dong, Xiuliang, 2023. "Tail dependence and risk spillover effects between China's carbon market and energy markets," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 553-567.
  7. Zhongju Liao & Ke Chen, 2025. "What Drives Market‐Oriented Trading of Resource and Environmental Elements: An Analysis Based on the Technology–Organization–Environment Framework," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(4), pages 5998-6012, August.
  8. Mauerhofer, Volker, 2019. "An introduction and overview on law, politics and governance: Institutions, organizations and procedures for Ecological Economics," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
  9. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
  10. Liang, Xiaohu & Pan, Yijing, 2026. "Research on pricing of carbon options based on an improved jump test method," Finance Research Letters, Elsevier, vol. 90(C).
  11. Song, Yazhi & Li, Yin & Liu, Tiansen, 2023. "Carbon asset remolding and potential benefit measurement of machinery products in the light of lean production and low-carbon investment," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  12. Li, Guohui & Ning, Zhiyuan & Yang, Hong & Gao, Lipeng, 2022. "A new carbon price prediction model," Energy, Elsevier, vol. 239(PD).
  13. Xu, Yingying & Dai, Yifan & Guo, Lingling & Chen, Jingjing, 2024. "Leveraging machine learning to forecast carbon returns: Factors from energy markets," Applied Energy, Elsevier, vol. 357(C).
  14. Konstantinos Bisiotis & Dimitris Christopoulos & George Tzougas, 2026. "Forecasting Carbon Prices: A Literature Review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 496-529, March.
  15. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
  16. Jianguo Zhou & Qiqi Wang, 2021. "Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
  17. Song, Yazhi & Liu, Tiansen & Li, Yin & Zhu, Yue & Ye, Bin, 2022. "Paths and policy adjustments for improving carbon-market liquidity in China," Energy Economics, Elsevier, vol. 115(C).
  18. Che, Zichang & Sun, Jingchao & Cheng, Sihong & Cui, Yongkang & Xing, Yi & Su, Wei, 2026. "Profit-driven CCS deployment in steel production processes under the dual pressure of CBAM and China's carbon market," Energy, Elsevier, vol. 348(C).
  19. Huang, Jianying & Yuee, Gao & Li, Chengjiang & Yu, Xiaoqing & Xiong, Wei, 2026. "A hybrid attention-enabled multivariate information fusion for carbon price forecasting," Renewable Energy, Elsevier, vol. 256(PE).
  20. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
  21. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
  22. Song, Yazhi & Liu, Tiansen & Ye, Bin & Li, Yin, 2020. "Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China," Energy, Elsevier, vol. 211(C).
  23. Chu, Wen-Jun & Fan, Li-Wei & Zhou, P., 2024. "Extreme spillovers across carbon and energy markets: A multiscale higher-order moment analysis," Energy Economics, Elsevier, vol. 138(C).
  24. Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  25. Shiping Geng & Gengqi Wu & Caixia Tan & Dongxiao Niu & Xiaopeng Guo, 2021. "Multi-Objective Optimization of a Microgrid Considering the Uncertainty of Supply and Demand," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
  26. Cuiling Song, 2024. "Analysis of China’s carbon market price fluctuation and international carbon credit financing mechanism using random forest model," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-25, March.
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