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Quantitative Evaluation of China’s Carbon Peaking Policies Based on PMC Index Model: Evidence from the First Batch of National Carbon Peak Pilot Provinces and Regions

Author

Listed:
  • Guangchen Wang

    (School of Public Administration, Jilin University, Changchun 130012, China)

  • Lanqi Ju

    (School of International Relations and Public Affairs, Fudan University, Shanghai 200433, China)

Abstract

The carbon peaking policy in China has been established within the context of global climate change, one of the most pressing environmental challenges of the 21st century. This study constructs a quantitative policy evaluation system based on the Policy Model Consistency Index (PMC-Index) model to assess the effectiveness of carbon peaking policies in the provinces selected for China’s first batch of carbon peaking pilot projects. This assessment is crucial for improving policy quality and effectiveness, as well as for providing direction for carbon peaking and carbon neutrality governance. The results show that the 15 carbon peaking action plan policies are generally rated as “good” and “acceptable” with an average score of 6.59. Seven core focus areas were identified within the policy texts, including green development, renewable energy use, technological innovation, key industry promotion, corporate management improvements, ecological protection, and achieving carbon neutrality. The study also identified a PMC surface map, visually illustrating the strengths and weaknesses of the policy texts. While the design of China’s carbon peaking policies is reasonable, there is still room for improvement, especially in integrating economic development with carbon reduction targets, enhancing policy timeliness, expanding policy coverage, increasing public participation, and strengthening market-based policy tools. This study proposes optimization paths for each policy from a specific perspective and provides clear directions for optimizing and improving the overall carbon peaking policy from a general perspective.

Suggested Citation

  • Guangchen Wang & Lanqi Ju, 2025. "Quantitative Evaluation of China’s Carbon Peaking Policies Based on PMC Index Model: Evidence from the First Batch of National Carbon Peak Pilot Provinces and Regions," Sustainability, MDPI, vol. 17(4), pages 1-33, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1738-:d:1594665
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    References listed on IDEAS

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    1. Liwen Qi & Wenjing Chen & Chunyan Li & Xiaoting Song & Lanqing Ge, 2024. "Quantitative Evaluation of China’s Biogenetic Resources Conservation Policies Based on the Policy Modeling Consistency Index Model," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    2. Wang, Yujie & Sun, Qingqing & Wu, Jingjun & Han, Shuai & Zhang, Ruonan & Jiang, Shiyan & Gu, Xiao, 2023. "Research on the low carbon development path of China's coal industry under carbon peaking & carbon neutral target: Based on the RCPs-SSPs framework," Resources Policy, Elsevier, vol. 86(PB).
    3. Cheng Zhou & Ruilian Zhang & Julia Loginova & Vigya Sharma & Zhonghua Zhang & Zaijian Qian, 2022. "Institutional Logic of Carbon Neutrality Policies in China: What Can We Learn?," Energies, MDPI, vol. 15(12), pages 1-16, June.
    4. Ma, Jia-Jun & Du, Gang & Xie, Bai-Chen, 2019. "CO2 emission changes of China's power generation system: Input-output subsystem analysis," Energy Policy, Elsevier, vol. 124(C), pages 1-12.
    5. Rong Peng & Xueqin Deng & Yinghua Xia & Bei Wu, 2022. "Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy–Population–Economy Complex System: The Case Study of China," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    6. Lan Xu & Minglu Xi, 2024. "Quantitative Evaluation of Policies for combining Medical and Nursing Care based on the LDA–PMC Model: A Comparative Analysis of Typical Chinese Provinces," Public Organization Review, Springer, vol. 24(2), pages 693-713, June.
    7. Zeyu Wang & Yachao Xiong & Changli Zhang, 2024. "Quantitative Evaluation of Eco-Environmental Protection Policy in the Yangtze River Economic Belt: A PMC-Index Model Approach," Sustainability, MDPI, vol. 16(2), pages 1-25, January.
    8. Ruiz Estrada, Mario Arturo, 2011. "Policy modeling: Definition, classification and evaluation," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 523-536, July.
    9. Shengli Dai & Weimin Zhang & Jiamin Zong & Yingying Wang & Ge Wang, 2021. "How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    10. Shengli Dai & Weimin Zhang & Linshan Lan, 2022. "Quantitative Evaluation of China’s Ecological Protection Compensation Policy Based on PMC Index Model," IJERPH, MDPI, vol. 19(16), pages 1-24, August.
    11. Hu, Yingying & Wu, Wei, 2023. "Can fossil energy make a soft landing？— the carbon-neutral pathway in China accompanying CCS," Energy Policy, Elsevier, vol. 174(C).
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