 Evaluation of China's double-carbon energy policy based on the policy modeling consistency indexXiaoman Zhang, Xu Cheng, Xia Qi, Kun Yang and Zhenyu Zhao Utilities Policy, 2024, vol. 90, issue C 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. Keywords: Energy policy; Multidimensional evaluation; TF-IDF algorithm; PMC-Index; Double-carbon (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724000766 DOI: 10.1016/j.jup.2024.101783 Access Statistics for this article Utilities Policy is currently edited by Beecher, Janice More articles in Utilities Policy from Elsevier |
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