Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

Dongxiao Niu, Gengqi Wu, Zhengsen Ji, Dongyu Wang, Yuying Li and Tian Gao
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Dongxiao Niu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Gengqi Wu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhengsen Ji: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Dongyu Wang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yuying Li: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Tian Gao: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2021, vol. 13, issue 5, 1-18

Abstract: It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

Keywords: carbon neutrality; capability assessment; cloud model; improved TOPSIS model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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