Abstract

Cities are at the heart of climate change mitigation as they account for over 70% of global carbon emissions. However, cities vary in their energy systems and socioeconomic capacities to transition to renewable energy. To address this heterogeneity, this study proposes an Energy Transition Index (ETI) specifically designed for cities, and applies it to track the progress of energy transition in Chinese cities. The city-level ETI framework is based on the national ETI developed by the World Economic Forum (WEF) and comprises two sub-indexes: the Energy System Performance sub-index, which evaluates the current status of cities’ energy systems in terms of energy transition, and the Transition Readiness sub-index, which assesses their socioeconomic capacity for future energy transition. The initial version of the dataset includes ETI and its sub-indexes for 282 Chinese cities from 2003 to 2019, with annual updates planned. The spatiotemporal data provided by the dataset facilitates research into the energy transition roadmap for different cities, which can help China achieve its energy transition goals.

Details

Title
A dataset of low-carbon energy transition index for Chinese cities 2003–2019
Author
Shen, Yifan 1 ; Shi, Xunpeng 2   VIAFID ORCID Logo  ; Zhao, Zhibo 3 ; Xu, Jinghang 4 ; Sun, Yongping 5 ; Liao, Zhenliang 6 ; Li, Yingzhu 7   VIAFID ORCID Logo  ; Shan, Yuli 4   VIAFID ORCID Logo 

 Tongji University, School of Economics and Management, Shanghai, China (GRID:grid.24516.34) (ISNI:0000 0001 2370 4535) 
 University of Technology Sydney, Australia-China Relations Institute, Sydney, Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611) 
 Qilu University of Technology (Shandong Academy of Sciences), School of Finance, Jinan, China (GRID:grid.443420.5) (ISNI:0000 0000 9755 8940) 
 University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486) 
 Huazhong University of Science and Technology, Institute of State Governance, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223); Huazhong University of Science and Technology, School of Economics, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223) 
 Tongji University, College of Environmental Science and Engineering, Shanghai, China (GRID:grid.24516.34) (ISNI:0000 0001 2370 4535) 
 Zhejiang University, School of Public Affairs, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
Pages
906
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2902580818
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.