IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i4p433-d1366214.html
   My bibliography  Save this article

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 1-24, March.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:433-:d:1366214
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/4/433/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/4/433/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Ge & Guangfei Yang & Yi Chen & Wen Dou, 2019. "Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    2. Wenyao Guo & Xianzhong Mu, 2022. "Identification of Cities in Underdeveloped Resource-Rich Areas and Its Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    3. Evgeny Lisin & Wadim Strielkowski & Veronika Chernova & Alena Fomina, 2018. "Assessment of the Territorial Energy Security in the Context of Energy Systems Integration," Energies, MDPI, vol. 11(12), pages 1-14, November.
    4. Yang, Siying & Liu, Fengshuo & Lu, Jingjing & He, Xiaogang, 2022. "Does occupational injury promote industrial robot applications?," Technology in Society, Elsevier, vol. 70(C).
    5. Guozhu Li & Meichen Liu, 2022. "Spatiotemporal Evolution and Influencing Factors of Economic Resilience: Evidence from Resource-Based Cities in China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    6. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    7. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    8. Haoran Yang & Hao Zheng & Hongguang Liu & Qun Wu, 2019. "NonLinear Effects of Environmental Regulation on Eco-Efficiency under the Constraint of Land Use Carbon Emissions: Evidence Based on a Bootstrapping Approach and Panel Threshold Model," IJERPH, MDPI, vol. 16(10), pages 1-20, May.
    9. Runqun Yu & Zhuoyang Luo, 2023. "Research on the Influence Mechanism of Factor Misallocation on the Transformation Efficiency of Resource-Based Cities Based on the Optimization Direction Function Calculation Method," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    10. Aiwu Zhao & Jingyi Wang & Hongjun Guan, 2022. "Has the Free Trade Zone Construction Promoted the Upgrading of the City’s Industrial Structure?," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    11. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Inequality in water supply in India: an assessment using the Gini and Theil indices," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 841-864, April.
    12. Zhaohan Lu & Yuping Wu & Shiwei An & Yun Zhang & Jiahao Zhu, 2022. "The Measurement and Spatiotemporal Evolution Analysis of an Ecological Niche for the High-Quality Development of Resource-Based Cities in China," Sustainability, MDPI, vol. 14(19), pages 1-27, October.
    13. Shi, Kaifang & Yang, Qingyuan & Fang, Guangliang & Yu, Bailang & Chen, Zuoqi & Yang, Chengshu & Wu, Jianping, 2019. "Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China," Energy, Elsevier, vol. 167(C), pages 641-653.
    14. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:433-:d:1366214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.