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Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance

Author

Listed:
  • Shiju Liao

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China
    School of Public Affairs, Zhejiang University, Hangzhou 310030, China)

  • Liyin Shen

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China
    School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Xi Chen

    (School of Social Development and Public Policy, Fudan University, Shanghai 200433, China)

  • Xiangrui Xu

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China)

  • Qingqing Wang

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China)

  • Ziwei Chen

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China
    School of Public Affairs, Zhejiang University, Hangzhou 310030, China)

  • Haijun Bao

    (Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China)

Abstract

Performance assessment of low carbon cities (LCCs) attracts great interest and attention from academia, industry, and government as an effective measure to promote urban low-carbon development. However, the efforts of LCCs could be misinterpreted without consideration of the fact that cities with different endowments face different challenges and assume different responsibilities, thus it is important that this fact is considered in assessing LCCs’ performance. This study develops the previous study by the research team, “dual perspective diagnosis method for assessing LCC performance”, by introducing a correction factor to take into account the impacts of local endowments and mitigate the ‘one-size-fits-all’ phenomenon when comparing LCC assessments between cities. The empirical case study presented in the paper indicates that the adoption of a correction factor has improved the accuracy of the assessment results by demonstrating actual management efforts in developing LCC performance. It is proposed that applying the correction factor can help to achieve more accurate assessments of the status of low-carbon city practice, based on which more effective low-carbon policies can be designed and implemented towards achieving carbon peaking and carbon neutrality goals.

Suggested Citation

  • Shiju Liao & Liyin Shen & Xi Chen & Xiangrui Xu & Qingqing Wang & Ziwei Chen & Haijun Bao, 2024. "Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance," Land, MDPI, vol. 13(4), pages 1-22, March.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:433-:d:1366214
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    References listed on IDEAS

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    1. Lixiao Zhang & Zhifeng Yang & Jing Liang & Yanpeng Cai, 2010. "Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China," Energies, MDPI, vol. 4(1), pages 1-13, December.
    2. Ke Luo & Shuo Chen & Shixi Cui & Yuantao Liao & Yu He & Chunshan Zhou & Shaojian Wang, 2023. "Examining the Overall and Heterogeneous Impacts of Urban Spatial Structure on Carbon Emissions: A Case Study of Guangdong Province, China," Land, MDPI, vol. 12(9), pages 1-19, September.
    3. Gaolan Hou & Zhou Zou & Tianran Zhang & Yue Meng, 2019. "Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China," Economies, MDPI, vol. 7(2), pages 1-22, May.
    4. Nan CHEN & Guiyang ZHUANG & Shouxian ZHU & Dong WANG & Jue LI, 2021. "Evaluation of Low-Carbon Development of Chinese Cities in 2018," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-26, March.
    5. Yingli Lou & Liyin Shen & Zhenhua Huang & Ya Wu & Heng Li & Guijun Li, 2018. "Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice," IJERPH, MDPI, vol. 15(7), pages 1-21, June.
    6. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    7. Hu, Wei & Fan, Yuemin, 2020. "City size and energy conservation: Do large cities in China consume more energy?," Energy Economics, Elsevier, vol. 92(C).
    8. Chen, Hanyi & Liu, Kui & Shi, Tie & Wang, Linfeng, 2022. "Coal consumption and economic growth: A Chinese city-level study," Energy Economics, Elsevier, vol. 109(C).
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