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

Shiju Liao, Liyin Shen, Xi Chen, Xiangrui Xu (), Qingqing Wang, Ziwei Chen and Haijun Bao
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Shiju Liao: Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
Liyin Shen: Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, 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
Qingqing Wang: Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
Ziwei Chen: Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China
Haijun Bao: Research Institute for Urban Planning and Development, Hangzhou City University, Hangzhou 310015, China

Land, 2024, vol. 13, issue 4, 1-22

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.

Keywords: low-carbon city; performance assessment; correction factor; empirical study (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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