基于区块链技术的碳交易模式构建

doi:10.16843/j.sswc.2020.03.017

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Abstract [Background] Chinese nine regional carbon emission quota trading markets have been operated since 2011, and Chinese national market was launched at the end of 2017. The existing issues include market information transparency and regulatory difficulty, high operating cost and low management efficiency, the contradiction between confidential business information and environmental information disclosure, the market is inactive especially for forests CCER(Chinese certified emission reduction), and how to achieve financial docking from the regional national and international carbon emission quota trading platform in future. Building blockchain carbon emission quota trading patterns may be conducive to resolving these issues and ultimately in response to climate change, thus which may prevent water loss and soil erosion and achieve the goals of environmental sustainable development.[Methods] Based on the Pareto optimality and stakeholder theory, using information technology in combination with economic means, we analyzed current carbon emission quota trading business process of CCER and CEPA(carbon emission permits allocation), explored its block chain mechanism, major stakeholders, and business scenario, and considered the typical smart contracts, classification information and data interfaces.[Results] 1) Six-layer core blockchain framework:data stored in shared ledger of data layer; network layer includes all blockchain nodes; distributed consistency technology and data validation mechanism are used in consensus layer; incentive layer is realized offline; contract layer could solve the automatic calculation, trading, settlement and offset following designed business rules; information application system of all market trading and major stakeholder put in application layer. 2)Five-step carbon emission quota trading through blockchain:releasing CEPA and CCER project information; recording, automatic calculating and releasing carbon emission and CCER project audit information; releasing subject matters of the transaction; trading and carbon emission quota trade information disclosure; releasing annual CEPA settlement and CCER project offset. 3) In whole process, every involver could get credible information by rules in limited low cost, all information are protected and every stakeholder is treated fairly and efficiently by rules through blockchain and smart contract. Finally the blockchain carbon emission quota trading pattern of "enterprise trade + government supervising + third-party audit + financial risk prevention" is constructed. In addition, the transaction activity of CCER projects including forestry carbon sequestration may be enhanced by analysis based on the scenario and smart contract.[Conclusions] This pattern is suitable for the technical support of national carbon emission quota trading system based on blockchain features, namely decentralization, collective maintenance data, complete transparent information, trading credible and privacy security decentralization, collective maintenance data, complete transparent information, trading credible and privacy security. It facilitates the docking of financial platforms to realize the huge economic value of carbon emission quota trading. In soil and water conservation plan and scheme, carbon sequestration forest should be planted, and carbon sequestration value should be created through timely trading, so as to achieve double benefits of ecology and economy.

Key words： blockchain carbon emission reduction carbon emission trading market carbon emission quota Chinese certified emission reduction

Received: 05 July 2019

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S157

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	Articles by authors
	ZHOU Li
	ZHANG Shengping
	HOU Fangmiao
	ZHANG Lunping

Cite this article:

ZHOU Li,ZHANG Shengping,HOU Fangmiao, et al. Construction of carbon trading pattern based on blockchain[J]. SSWC, 2020, 18(3): 139-145.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2020.03.017 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2020/V18/I3/139

[1]	KIRKBY M J.A model to estimate the impact of climate change on hillslope and regolith form[J]. Catena,1989,16(4/5):321.
[2]	肖升生,郑海金,杨洁,等.土壤侵蚀、水土保持与气候变化的耦合关系[J].中国水土保持科学,2011,9(6):106. XIAO Shengsheng, ZHENG Haijin, YANG Jie,et al. Coupling relationships of soil erosion, soil and water conservation and climate change[J].Science of Soil and Water Conservation,2011,9(6):106.
[3]	孙永平.碳排放权交易蓝皮书:中国碳排放权交易报告[M].北京:社会科学文献出版社,2017:283. SUN Yongping. Annual report of China carbon emissions trading scheme[M].Beijing:Social Sciences Academic Press,2017:283.
[4]	王爱国.碳交易市场、碳会计核及碳社会责任问题研究[M].桂林:广西师范大学出版社,2017:23. WANG Aiguo. Research on carbon trading market, carbon accounting and carbon social responsibility[M]. Guilin:Guangxi Normal University Press,2017:23.
[5]	荆克迪.我国碳交易市场的国际比较与机制研究[M].北京:经济科学出版社,2016:26. JING Kedi. Research on international comparison and mechanism of China's carbon trading market[M]. Beijing:Economic Science Press,2016:26.
[6]	MONTGOMERY W D. Markets in licenses and efficient pollution control programs[J]. Journal of Economic Theory,1972,5(3):395.
[7]	曾刚,万志宏.碳排放权交易:理论及应用研究综述[J].金融评论,2010(4):54. ZENG Gang, WAN Zhihong. Carbon emission permits trading:A summary[J].Chinese Review of Financial Studies,2010(4):54.
[8]	LANE R. The promiscuous history of market efficiency:the development of early emissions trading systems[J].Environmental Politics,2012,21(4):583.
[9]	独娟,刘波.中国碳交易市场发展现状及展望[C].2018年第四届人文社会科学与全球商业管理国际会议论文集(ISSGBM 2018),2018-02-12:538. JUAN Du, BO Liu. The current situation and prospect of China's carbon trading market[C]//Proceedings of 20184th International Conference in Humanities,Social Sciences and Global Business Management(ISSGBM 2018).2018-02-12:538.
[10]	工信部.2016中国区块链技术和应用发展白皮书[EB/OL].[2016-10-18]. http://www.199it.com/archives/526865.html. Ministry of Industry and Information Technology. 2016 white paper on blockchain technology and application development of China[EB/OL].[2016-10-18]. http://www.199it.com/archives/526865.html.
[11]	陈欣,刘明,刘延.碳交易价格的驱动因素与结构性断点:基于中国七个碳交易试点的实证研究[J].经济问题,2016(11):29. CHEN Xin, LIU Ming, LIU Yan. Price drivers and structural breaks in China's carbon prices:Based on seven carbon trading pilots[J].On Economic Problems,2016(11):29.
[12]	刘明达,蒙吉军,刘碧寒.国内外碳排放核算方法研究进展[J].热带地理,2014,34(2):248. LIU Mingda, MENG Jijun, LIU Bihan. Progress in the studies of carbon emission estimation[J]. Tropical Geography,2014,34(2):248.
[13]	SWAN M. Blockchain:blueprint for a new economy[M]. Sebastopol,California:O'Reilly Media,2015:27.
[14]	张宁,王毅,康重庆,等.能源互联网中的区块链技术:研究框架与典型应用初探[J].中国电机工程学报,2016,36(15):4011. ZHANG Ning, WANG Yi, KANG Chongqing,et al. Blockchain technique in the energy internet:Preliminary research framework and typical applications[J].Proceedings of the CSEE,2016,36(15):4011.
[15]	党庶枫,曾文革.《巴黎协定》碳交易机制新趋向对中国的挑战与因应[J].中国科技论坛,2019(1):181. DANG Shufeng,ZENG Wenge. New trends of carbon trading mechanism in Paris agreement and China's challenge and response[J].Forum on Science and Technology in China,2019(1):181.
[16]	王建民,王传旭,杨力.我国碳减排利益相关者界定与分类[J].安徽理工大学学报:社会科学版,2014,16(5):17. WANG Jianmin,WANG Chuanxu,YANG Li. Definition and classification of carbon emission reduction stakeholders in China[J].Journal of Anhui University of Science and Technology:Social Science, 2014,16(5):17.