Next Article in Journal
Deep Reinforcement Learning-Based Optimization of Mobile Charging Station and Battery Recharging Under Grid Constraints
Previous Article in Journal
Game Theory-Based Bi-Level Capacity Allocation Strategy for Multi-Agent Combined Power Generation Systems
Previous Article in Special Issue
Revisiting the Nexus Between Energy Consumption, Economic Growth, and CO2 Emissions in India and China: Insights from the Long Short-Term Memory (LSTM) Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index

Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China
*
Author to whom correspondence should be addressed.
Energies 2025, 18(20), 5339; https://doi.org/10.3390/en18205339
Submission received: 24 August 2025 / Revised: 6 October 2025 / Accepted: 8 October 2025 / Published: 10 October 2025
(This article belongs to the Special Issue Policy and Economic Analysis of Energy Systems: 2nd Edition)

Abstract

Against the backdrop of China’s “dual carbon” goals of achieving carbon peaking by 2030 and carbon neutrality by 2060. Traditional qualitative evaluations struggle with subjectivity; therefore we apply the quantitative PMC Index to systematically assess smart energy policies. This research systematically analyzes 16 representative Chinese smart energy policies using the PMC model, combined with content analysis. An integrated analytical framework was constructed to examine PMC applications across different energy policy fields. Results demonstrate that China’s smart energy policies achieved excellent performance, with an average PMC score of 7.48 out of 10. Furthermore, 68.75% of policies (11 out of 16) reached the ‘excellent’ level (PMC ≥ 8.0), with Policy “P6” achieving the highest score of 8.88 points. Top-performing policies exhibited strong strategic coordination, clear objectives, and comprehensive supporting measures. The findings reveal a well-structured policy cluster with clear objectives and strong coordination. This mature policy package provides a solid institutional foundation for China’s energy system transformation toward smart and green development, offering valuable insights for energy policy optimization and quantitative assessment methodology improvement.
Keywords: smart energy; energy policy; PMC; policy evaluation smart energy; energy policy; PMC; policy evaluation

Share and Cite

MDPI and ACS Style

Cai, R.; Zhang, T.; Wang, X.; Zhao, S.; Yang, H.; Geng, Q. China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index. Energies 2025, 18, 5339. https://doi.org/10.3390/en18205339

AMA Style

Cai R, Zhang T, Wang X, Zhao S, Yang H, Geng Q. China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index. Energies. 2025; 18(20):5339. https://doi.org/10.3390/en18205339

Chicago/Turabian Style

Cai, Rongjiang, Tao Zhang, Xi Wang, Shufang Zhao, Hang Yang, and Qixiang Geng. 2025. "China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index" Energies 18, no. 20: 5339. https://doi.org/10.3390/en18205339

APA Style

Cai, R., Zhang, T., Wang, X., Zhao, S., Yang, H., & Geng, Q. (2025). China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index. Energies, 18(20), 5339. https://doi.org/10.3390/en18205339

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop