IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p2953-d1621353.html
   My bibliography  Save this article

Achieving Carbon Peak Targets in an Efficient Manner: A Chinese Study

Author

Listed:
  • Boying Li

    (School of Political Science and International Relations, Tongji University, Shanghai 200030, China
    Research Center for the Theory of Socialism with Chinese Characteristics, Tongji University, Shanghai 200030, China)

Abstract

In recent years, China has made remarkable progress in achieving its carbon peak targets. However, the progress towards achieving carbon peak targets has varied significantly across the provinces and municipalities of China due to their different resource endowments and industrial structures. In order to better understand such heterogeneity issues and their implications, a model is developed in this study to predict the progress of achieving carbon peak across provinces and municipalities according to various influencing factors. This analysis incorporates an assessment of the most suitable scenarios for each region that result in lower carbon emissions, thus providing inputs for more tailored carbon management strategies. This study reveals that urbanization rate, GDP per capita, and population are critical factors influencing carbon emissions, whereas technological progress has a moderate impact. Meanwhile, the proportion of tertiary industry is negatively correlated with carbon emissions. Under normal scenarios, China can achieve its carbon peak target before 2030, while some provinces and municipalities can achieve their carbon peak targets ahead of schedule. Under certain scenarios, some provinces and municipalities in China will experience certain difficulties in achieving their carbon peaks before 2030. In addition, the choice of development goals presents a crucial factor that affects carbon emissions. The scientific and appropriate determination of development goals can effectively promote the realization of the carbon peak target. This research contributes to the existing body of knowledge by providing a unified framework that integrates macro- and micro-level analyses, enabling a deeper understanding of regional disparities in carbon emissions. The results offer theoretical support and practical recommendations for formulating tailored carbon reduction policies, providing valuable insights for China and other countries to help address similar challenges in achieving sustainable development and climate goals.

Suggested Citation

  • Boying Li, 2025. "Achieving Carbon Peak Targets in an Efficient Manner: A Chinese Study," Sustainability, MDPI, vol. 17(7), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2953-:d:1621353
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/2953/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/7/2953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Angélica Pigola & Bruno Fischer & Gustavo Hermínio Salati Marcondes de Moraes, 2024. "Impacts of Digital Entrepreneurial Ecosystems on Sustainable Development: Insights from Latin America," Sustainability, MDPI, vol. 16(18), pages 1-30, September.
    2. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    3. Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Chen, Z.M. & Chen, G.Q., 2011. "Embodied carbon dioxide emission at supra-national scale: A coalition analysis for G7, BRIC, and the rest of the world," Energy Policy, Elsevier, vol. 39(5), pages 2899-2909, May.
    6. Xing, Licong & Khan, Yousaf Ali & Arshed, Noman & Iqbal, Mubasher, 2023. "Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    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. Che, Shuai & Wang, Jun & Chen, Honghang, 2023. "Can China's decentralized energy governance reduce carbon emissions? Evidence from new energy demonstration cities," Energy, Elsevier, vol. 284(C).
    2. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    3. Mehmet Balcilar & Daberechi Chikezie Ekwueme & Hakki Ciftci, 2023. "Assessing the Effects of Natural Resource Extraction on Carbon Emissions and Energy Consumption in Sub-Saharan Africa: A STIRPAT Model Approach," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    4. Su Yang & Jie Shen & Hongyang Li & Beibei Zhang & Jinchao Ma & Baoquan Cheng, 2023. "Unraveling the U-Shaped Linkage: Population Aging and Carbon Efficiency in the Construction Industry," Sustainability, MDPI, vol. 15(17), pages 1-15, September.
    5. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    7. Samargandi, Nahla, 2017. "Sector value addition, technology and CO2 emissions in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 868-877.
    8. Wu, X.D. & Guo, J.L. & Chen, G.Q., 2018. "The striking amount of carbon emissions by the construction stage of coal-fired power generation system in China," Energy Policy, Elsevier, vol. 117(C), pages 358-369.
    9. Huang, Junbing & Wang, Yajun & Lei, Hongyan & Chen, Xiang, 2024. "A technology-driven way to carbon peak and its impact mechanism," Energy, Elsevier, vol. 297(C).
    10. Li, Jiachen & Jiang, Meiru & Li, Ge, 2024. "Does the new energy vehicles subsidy policy decrease the carbon emissions of the urban transport industry? Evidence from Chinese cities in Yangtze River Delta," Energy, Elsevier, vol. 298(C).
    11. Yuhuan Zhao & Song Wang & Jiaqin Yang & Zhonghua Zhang & Ya Liu, 2016. "Input-output analysis of carbon emissions embodied in China-Japan trade," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1515-1529, April.
    12. Zhenfen Wu & Zhe Wang & Qiliang Yang & Changyun Li, 2024. "Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics," Energies, MDPI, vol. 17(2), pages 1-22, January.
    13. Hui Li & Yanan Zheng & Guan Gong & Hongtao Guo, 2023. "A Simulation Study on Peak Carbon Emission of Public Buildings—In the Case of Henan Province, China," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    14. Xia, X.H. & Hu, Y. & Chen, G.Q. & Alsaedi, A. & Hayat, T. & Wu, X.D., 2015. "Vertical specialization, global trade and energy consumption for an urban economy: A value added export perspective for Beijing," Ecological Modelling, Elsevier, vol. 318(C), pages 49-58.
    15. Chulin Pan & Huayi Wang & Hongpeng Guo & Hong Pan, 2021. "How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    16. Yang, Yi & Yuan, Zhuqing & Yang, Shengnan, 2022. "Difference in the drivers of industrial carbon emission costs determines the diverse policies in middle-income regions: A case of northwestern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    17. Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
    18. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    19. Yue Dou & Muhammad Shahbaz & Kangyin Dong & Xiucheng Dong, 2022. "How natural disasters affect carbon emissions: the global case," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1875-1901, September.
    20. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.

    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:jsusta:v:17:y:2025:i:7:p:2953-:d:1621353. 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.