Research on the Construction Path of China's Zero-carbon Ports from the Perspective of Marine Carbon Sink Trading
DOI:
https://doi.org/10.54097/hbem.v14i.8984Keywords:
Ocean carbon sink, Carbon trading, Zero-carbon port, Construction path.Abstract
At present, the international market has gradually carried out research on forecasting the trading price of carbon emissions with macroeconomics and energy market as the main influencing factors, supplemented by other factors such as policy factors. In order to speed up the construction of carbon accounting system, enrich the content of China's carbon pricing mechanism and improve the carbon emission trading market, this study constructs an index system from four aspects: macro-economy, energy price, climate environment and international market, and objectively screens out the important influencing factors of carbon trading price through Lasso regression, and uses BP neural network prediction model to predict carbon trading price. [7] We should focus on reducing the proportion of coal consumption by port enterprises and increasing other clean energy consumption. This result can provide basis and reference for the construction of zero-carbon ports and the construction of ocean-port carbon trading information platform in China.
Downloads
References
Ha Baowei. The impact of carbon quota management policies on the price and volatility of carbon emission rights [D]. Harbin Engineering University, 2020.
Ren Jing. Analysis of influencing factors of carbon quota trading price in China's carbon market [D]. chongqing technology and business university, 2019.
Jiang Huiqin. Study on initial quota allocation of carbon emission rights [D]. Zhejiang University of Technology, 2019.
Zhang Yi, Zhou Ran, Zheng Lin. Thoughts on the construction of "near-zero carbon port" under the strategy of "double carbon" [J]. Journal of Management Cadre College of Ministry of Transport, 2022, 32 (01): 19 - 22.
Liu Leilei, Yang Rong, Kang Zhongfei. Research on the Path of Zero-carbon Port Construction [J]. Transportation Energy Conservation and Environmental Protection, 2021, 17 (05): 14 - 17+26.
Qi Doudou. Developing marine carbon sinks and deploying submarine geological storage of carbon dioxide [N]. shanghai securities news, 2023 - 03 - 10 (004).
Lin Shuijing. Ocean carbon sinks open up a new blue ocean [N]. China Energy News, 2023-02-13 (010). DOI: 10.28693/n.cnki.nshca.20023.100000000106.
Yang xueli. research on the dynamic price forecast of China's carbon emission trading market based on LSTM [D]. Jilin university, 2022. doi: 10.27162/d.cnki.gjlin.20010.000000000003.
Li Ruozhu. Study on the influencing factors of China's regional carbon emission trading price-based on Lasso method [J]. Fortune Today (China Intellectual Property), 2020 (04): 22 - 25.
Jin Lin, Ma Zhongyun, Wang Honghong. Prediction of carbon emissions trading price based on grey B P neural network [J]. Journal of Hebei Institute of Environmental Engineering, 2020.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






