Open AccessSIMULATION RESEARCH ON CARBON EMISSIONS TRADING BASED ON BLOCKCHAIN
Author(s) -
Qing Zhou,
Qi Zhang
Publication year - 2022
Publication title -
journal of environmental engineering and landscape management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.514
H-Index - 28
eISSN - 1822-4199
pISSN - 1648-6897
DOI - 10.3846/jeelm.2022.15107
Subject(s) - greenhouse gas , blockchain , emissions trading , certification , database transaction , environmental economics , government (linguistics) , business , global warming , settlement (finance) , clean development mechanism , industrial organization , macro , computer science , climate change , finance , economics , computer security , database , ecology , linguistics , philosophy , management , payment , biology , programming language
Global warming caused by greenhouse gases is one of the problems that need to be solved urgently. Blockchain technology can achieve automatic quota certification and settlement, providing a new direction for carbon emissions trading. This paper provides a quantitative analysis of blockchain-based carbon emissions trading through the Repast simulation platform. Firstly, it designs the blockchain-based carbon emissions trading simulation framework from a macro perspective, including identity and quota certification, quota trading, risk prevention and smart contracts management. Then, it establishes a blockchain-based carbon emissions trading simulation model and formulates the behavior rules of the government, investors and company agents and market transaction processes. Finally, it simulates the carbon emissions trading based on public chain and private chain on the Repast platform, and analyzes the simulation results.