Evaluation of China's double-carbon energy policy based on the policy modeling consistency index

Abstract

The clean energy transition is crucial for achieving China's double-carbon goal. With the promulgation of a series of policies, analyzing the energy policies in this policy framework is essential. This paper identifies 32 current effective and representative energy policies through collection and screening. After establishing a Policy Modeling Consistency (PMC) index, this paper designs the corresponding text-mining dictionary through the TF-IDF algorithm and uses regular expressions to retrieve, filter, and match policy texts. The results show that the average PMC score of all policies selected in this paper is 5.23, and the overall PMC surface is relatively smooth. The scores of primary variables are relatively balanced. For the future, it is essential to focus on optimizing utility level (P₃), policy type (P₅), policy receptors (P₈), and policy areas (P₉) in energy policy formulation. Most importantly, the social network density of energy policy issuers is low now; thus, diversity and close cooperation need to be strengthened.