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Can Low-Carbon City Pilot Policies Promote Green Total Factor Energy Efficiency in China?

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  • Songyuan Liu

    (State Grid Economic and Technological Research Institute, Co., Ltd., Beijing 102209, China)

  • Ziyu Wu

    (School of Business, Professional Degree Education Center, Xuhui Campus, East China University of Science and Technology, Shanghai 200030, China)

  • Mei Wang

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Lingfeng Tan

    (State Grid Economic and Technological Research Institute, Co., Ltd., Beijing 102209, China)

Abstract

This study evaluates the causal impact and mechanisms of China’s Low-Carbon City Pilot Policy (LCCPP) on urban Green Total Factor Energy Efficiency (GTFEE) by using a multi-period Difference-in-Differences (DID) model with a comprehensive panel dataset of Chinese cities from 2007 to 2022. We also conduct a series of robustness checks, including event studies and Propensity Score Matching with Difference-in-Differences (PSM-DID), to ensure the reliability of our findings. The results show that the LCCPP has a significant and robust positive effect on urban GTFEE. Furthermore, our mechanism analysis reveals that the policy primarily enhances GTFEE through two key channels: promoting green innovation and accelerating industrial structure upgrading. This study provides important policy implications, suggesting that the LCCPP is an effective tool for green development and that policymakers should focus on supporting green technology and industrial transformation to maximize the policy’s benefits.

Suggested Citation

  • Songyuan Liu & Ziyu Wu & Mei Wang & Lingfeng Tan, 2025. "Can Low-Carbon City Pilot Policies Promote Green Total Factor Energy Efficiency in China?," Sustainability, MDPI, vol. 17(18), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8516-:d:1755306
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    References listed on IDEAS

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    1. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    4. Kaiyuan Ji & Xiangya Kong & Chun-Kai Leung & Kwok-Leung Shum, 2025. "Navigating Sustainability Through Environmental Regulations: Assessing the Effects of Command-and-Control and Market-Incentive Policies on Carbon Emissions in China," Sustainability, MDPI, vol. 17(6), pages 1-25, March.
    5. Xu, Aiting & Song, Miaoyuan & Wu, Yunguang & Luo, Yifan & Zhu, Yuhan & Qiu, Keyang, 2024. "Effects of new urbanization on China's carbon emissions: A quasi-natural experiment based on the improved PSM-DID model," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Lu, Dong & Wenling, Zeng & Aiping, He, 2025. "The impact of pilot Low-carbon city policies on urban energy ecological efficiency," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1014-1031.
    7. Liu, Kui & Huang, Tao & Xia, Zheyi & Xia, Xingneng & Wu, Rongrong, 2025. "The impact assessment of low-carbon city pilot policy on urban green innovation: A batch-time heterogeneity perspective," Applied Energy, Elsevier, vol. 377(PB).
    8. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2024. "How does green fiscal expenditure promote green total factor energy efficiency? — Evidence from Chinese 254 cities," Applied Energy, Elsevier, vol. 353(PA).
    9. Liu, Yi & Wu, Kai & Liang, Xiaoyun, 2024. "Does low-carbon pilot policy promote corporate green total factor productivity?," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1-24.
    10. Yang, Shubo & Jahanger, Atif & Hossain, Mohammad Razib, 2023. "How effective has the low-carbon city pilot policy been as an environmental intervention in curbing pollution? Evidence from Chinese industrial enterprises," Energy Economics, Elsevier, vol. 118(C).
    11. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    12. Guo, Wen & Liu, Xiaorui, 2022. "Market fragmentation of energy resource prices and green total factor energy efficiency in China," Resources Policy, Elsevier, vol. 76(C).
    13. Liu, Hongwei & Yang, Ronglu & Wu, Jie & Chu, Junfei, 2021. "Total-factor energy efficiency change of the road transportation industry in China: A stochastic frontier approach," Energy, Elsevier, vol. 219(C).
    14. Assaad Ghazouani & Wanjun Xia & Mehdi Ben Jebli & Umer Shahzad, 2020. "Exploring the Role of Carbon Taxation Policies on CO 2 Emissions: Contextual Evidence from Tax Implementation and Non-Implementation European Countries," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    15. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
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    Cited by:

    1. Xiaowen Wang & Xuyou Wang, 2025. "Does Local Government Green Attention Promote Green Total Factor Productivity?," Sustainability, MDPI, vol. 17(19), pages 1-21, October.

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