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China’s CO2 peak before 2030 implied from characteristics and growth of cities

Author

Listed:
  • Haikun Wang

    (Nanjing University)

  • Xi Lu

    (Tsinghua University
    State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex)

  • Yu Deng

    (Chinese Academy of Sciences)

  • Yaoguang Sun

    (Nanjing University)

  • Chris P. Nielsen

    (Harvard University)

  • Yifan Liu

    (Nanjing University)

  • Ge Zhu

    (Nanjing University)

  • Maoliang Bu

    (Nanjing University)

  • Jun Bi

    (Nanjing University)

  • Michael B. McElroy

    (Harvard University
    Harvard University)

Abstract

China pledges to peak CO2 emissions by 2030 or sooner under the Paris Agreement to limit global warming to 2 °C or less by the end of the century. By examining CO2 emissions from 50 Chinese cities over the period 2000–2016, we found a close relationship between per capita emissions and per capita gross domestic product (GDP) for individual cities, following the environmental Kuznets curve, despite diverse trajectories for CO2 emissions across the cities. Results show that carbon emissions peak for most cities at a per capita GDP (in 2011 purchasing power parity) of around US$21,000 (80% confidence interval: US$19,000 to 22,000). Applying a Monte Carlo approach to simulate the peak of per capita emissions using a Kuznets function based on China’s historical emissions, we project that emissions for China should peak at 13–16 GtCO2 yr−1 between 2021 and 2025, approximately 5–10 yr ahead of the current Paris target of 2030. We show that the challenges faced by individual types of Chinese cities in realizing low-carbon development differ significantly depending on economic structure, urban form and geographical location.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natsus:v:2:y:2019:i:8:d:10.1038_s41893-019-0339-6
    DOI: 10.1038/s41893-019-0339-6
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    Cited by:

    1. Pan, Guangsheng & Gu, Wei & Chen, Sheng & Lu, Yuping & Zhou, Suyang & Wei, Zhinong, 2021. "Investment equilibrium of an integrated multi–stakeholder electricity–gas–hydrogen system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
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    3. Sun, Hui & Wang, Enzhen & Li, Xiang & Cui, Xian & Guo, Jianbin & Dong, Renjie, 2021. "Potential biomethane production from crop residues in China: Contributions to carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    4. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    5. Liu, Geng & Sun, Shida & Zou, Chao & Wang, Bo & Wu, Lin & Mao, Hongjun, 2022. "Air pollutant emissions from on-road vehicles and their control in Inner Mongolia, China," Energy, Elsevier, vol. 238(PB).
    6. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    7. Zou, Chenchen & Ma, Minda & Zhou, Nan & Feng, Wei & You, Kairui & Zhang, Shufan, 2023. "Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China," Energy, Elsevier, vol. 277(C).
    8. Liu, Yinshan & Wang, Yuanfeng & Shi, Chengcheng & Zhang, Weijun & Luo, Wei & Wang, Jingjing & Li, Keping & Yeung, Ngai & Kite, Steve, 2022. "Assessing the CO2 reduction target gap and sustainability for bridges in China by 2040," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    9. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    10. Guangsheng Pan & Qinran Hu & Wei Gu & Shixing Ding & Haifeng Qiu & Yuping Lu, 2021. "Assessment of plum rain’s impact on power system emissions in Yangtze-Huaihe River basin of China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    11. Jingcheng Li & Menggang Li, 2022. "Research of Carbon Emission Reduction Potentials in the Yellow River Basin, Based on Cluster Analysis and the Logarithmic Mean Divisia Index (LMDI) Method," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    12. Kazuyuki Miyazaki & Kevin Bowman, 2023. "Predictability of fossil fuel CO2 from air quality emissions," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    13. Zhang, Tianhu & Wang, Fuxi & Gao, Yi & Liu, Yuanjun & Guo, Qiang & Zhao, Qingxin, 2023. "Optimization of a solar-air source heat pump system in the high-cold and high-altitude area of China," Energy, Elsevier, vol. 268(C).
    14. Sun, Chen & Song, Junnian & Zhang, Dongqi & Wang, Xiaofan & Yang, Wei & Qi, Zhimin & Chen, Shaoqing, 2023. "Tracing urban carbon footprints differentiating supply chain complexity: A metropolis case," Energy, Elsevier, vol. 282(C).
    15. Liao, Hua & Ye, Huiying, 2023. "Endogenous economic structure, climate change, and the optimal abatement path," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 417-429.
    16. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    17. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).
    18. Jiang, Shiqi & Lin, Xinyue & Qi, Lingli & Zhang, Yongqiang & Sharp, Basil, 2022. "The macro-economic and CO2 emissions impacts of COVID-19 and recovery policies in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 981-996.
    19. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
    20. 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).

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