As a scarce public resource, carbon emission rights are essentially a new type of development rights. The rational allocation of limited carbon emission rights is crucial to international climate governance. On the basis of the multi-index method allocation model, this paper proposes a global carbon emission rights allocation model based on FAHP-EWM-TOPSIS, which uses fuzzy analytic hierarchy process and entropy weight method respectively. Determine the subjective weight and objective weight of the evaluation indicators, and use the idea of minimizing the difference to find the optimal proportion of the subjective and objective weights, and then obtain the optimal combination weight, and finally combine the TOPSIS method to score and calculate the reasonable distribution of rights and interests of countries around the world. The results show that the fair share of most countries in the world is between 1% and 2%. Compared with other carbon emission rights allocation strategies, this model takes into account the more comprehensive distribution principles, and the differences between different countries are small, which can better reflect the principle of fairness. The research results provide a new scheme for the allocation of global carbon emission rights, which has certain reference value for future global climate governance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.