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Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China

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  • Lin, Huaxing
  • Zhou, Ziqian
  • Chen, Shun
  • Jiang, Ping

Abstract

As the main source of carbon emissions, cities are vital for achieving China's carbon peak goal by 2030. However, few studies have focused on China’s city-level carbon emissions peak, particularly in the underdeveloped western region of China. Therefore, this study explores the peak carbon statuses and trends of cities in less-developed western China. We applied a self-organising map neural network to perform cluster analysis within 76 cities, combined with the decoupling coefficient method and Mann-Kendall test to evaluate the peak carbon trend of cities. The results showed that cities in western China can be divided into resource-dependent cities, low-carbon buffer cities, economic priority cities, and low-carbon transition cities. We also discussed the unbalanced and asynchronous characteristics of paths to achieve carbon peaks in these cities, which should be addressed in China’s strategy of achieving carbon peaks.

Suggested Citation

  • Lin, Huaxing & Zhou, Ziqian & Chen, Shun & Jiang, Ping, 2023. "Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China," Applied Energy, Elsevier, vol. 329(C).
  • Handle: RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015562
    DOI: 10.1016/j.apenergy.2022.120299
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    References listed on IDEAS

    as
    1. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    2. Hu, Yuan & Peng, Ling & Li, Xiang & Yao, Xiaojing & Lin, Hui & Chi, Tianhe, 2018. "A novel evolution tree for analyzing the global energy consumption structure," Energy, Elsevier, vol. 147(C), pages 1177-1187.
    3. Li, Li & Shan, Yuli & Lei, Yalin & Wu, Sanmang & Yu, Xiang & Lin, Xiyan & Chen, Yupei, 2019. "Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration," Applied Energy, Elsevier, vol. 244(C), pages 36-45.
    4. Kelly Sims Gallagher & Fang Zhang & Robbie Orvis & Jeffrey Rissman & Qiang Liu, 2019. "Assessing the Policy gaps for achieving China’s climate targets in the Paris Agreement," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    5. Liu, Xingjian & Wang, Mingshu & Qiang, Wei & Wu, Kang & Wang, Xiaomi, 2020. "Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions," Applied Energy, Elsevier, vol. 261(C).
    6. Li, Mingquan & Virguez, Edgar & Shan, Rui & Tian, Jialin & Gao, Shuo & Patiño-Echeverri, Dalia, 2022. "High-resolution data shows China’s wind and solar energy resources are enough to support a 2050 decarbonized electricity system," Applied Energy, Elsevier, vol. 306(PA).
    7. Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012. "Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization," Applied Energy, Elsevier, vol. 92(C), pages 552-562.
    8. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    9. Arnulf Grubler & Charlie Wilson & Nuno Bento & Benigna Boza-Kiss & Volker Krey & David L. McCollum & Narasimha D. Rao & Keywan Riahi & Joeri Rogelj & Simon Stercke & Jonathan Cullen & Stefan Frank & O, 2018. "A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies," Nature Energy, Nature, vol. 3(6), pages 515-527, June.
    10. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    11. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    12. Haikun Wang & Xi Lu & Yu Deng & Yaoguang Sun & Chris P. Nielsen & Yifan Liu & Ge Zhu & Maoliang Bu & Jun Bi & Michael B. McElroy, 2019. "China’s CO2 peak before 2030 implied from characteristics and growth of cities," Nature Sustainability, Nature, vol. 2(8), pages 748-754, August.
    13. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    14. Anu Ramaswami & Kangkang Tong & Andrew Fang & Raj M. Lal & Ajay Singh Nagpure & Yang Li & Huajun Yu & Daqian Jiang & Armistead G. Russell & Lei Shi & Marian Chertow & Yangjun Wang & Shuxiao Wang, 2017. "Urban cross-sector actions for carbon mitigation with local health co-benefits in China," Nature Climate Change, Nature, vol. 7(10), pages 736-742, October.
    15. Yuan, Yongna & Duan, Hongbo & Tsvetanov, Tsvetan G., 2020. "Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment," Energy Economics, Elsevier, vol. 89(C).
    16. Cui, Can & Wang, Zhen & Cai, Bofeng & Peng, Sha & Wang, Yang & Xu, Chengdong, 2021. "Evolution-based CO2 emission baseline scenarios of Chinese cities in 2025," Applied Energy, Elsevier, vol. 281(C).
    17. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
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    Cited by:

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    2. Yuanzhen Song & Jian Tian & Weijie He & Aihemaiti Namaiti & Jian Zeng, 2024. "Differential Analysis of Carbon Emissions between Growing and Shrinking Cities: A Case of Three Northeastern Provinces in China," Land, MDPI, vol. 13(5), pages 1-23, May.
    3. Juan Chen & Sensen Wu & Laifu Zhang, 2023. "Spatiotemporal Variation of Per Capita Carbon Emissions and Carbon Compensation Zoning in Chinese Counties," Land, MDPI, vol. 12(9), pages 1-22, September.
    4. Tang, Liwei & Luo, Mansi & Li, Ke & Zhang, Fan, 2024. "Driving factors and peaking of CO2 emissions: An empirical analysis of Hunan Province," Energy, Elsevier, vol. 289(C).
    5. Yang, Yi & Qin, Huan, 2024. "The uncertainties of the carbon peak and the temporal and regional heterogeneity of its driving factors in China," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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