IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03708-9.html
   My bibliography  Save this article

Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model

Author

Listed:
  • Yanxiao Jiang

    (Peking University
    Peking University)

  • Zhou Huang

    (Peking University
    Peking University)

Abstract

Urban development is undergoing rapid growth, and the increasingly prominent environmental protection challenge underscores the crucial need to balance urban vitality development with carbon emissions for sustainable goals. how urban vitality affect carbon emissions? By collecting and analyzing data from 222 prefecture-level cities, utilizing long-time series data from 2011 to 2019, and employing Spatial Durbin Method (SDM) to study. The study explores various dimensions of urban vitality, including economic, social, and population indicators. The direct impact of economic vitality on carbon emissions is negative, while the spillover effect is significantly positive, resulting in an overall positive total effect. There are noticeable spillover effects associated with economic vitality; a rise in one city’s economic vitality may result in a rise in carbon emissions in nearby prefecture-level cities. The reason behind the increase in carbon emissions in nearby metropolitan areas is the departure of some energy-intensive and highly polluting enterprises from the central sections of nearby cities. While enhancing the economic vitality of cities, it is recommended to strive for the development of a green economy, aiming for a sustainable development balance between economic growth and environmental conservation. Population vitality has a favorable impact on carbon emissions both directly and indirectly, with the direct effect being particularly significant. The population expansion of prefecture-level cities exerts a substantial influence on urban carbon emissions. Additionally, social vitality exhibits positive direct and spillover effects on carbon emissions, as well as a significant overall positive effect. Policymakers are urged to prioritize clean energy use while fostering economic growth, prevent high-polluting industries’ migration to neighboring urban areas, manage population expansion, promote environmental awareness, and implement integrated urban planning through collaborative governance for sustainable development.

Suggested Citation

  • Yanxiao Jiang & Zhou Huang, 2024. "Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03708-9
    DOI: 10.1057/s41599-024-03708-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03708-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-03708-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    2. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    3. Yanru Pu & Yuyi Wang & Peng Wang, 2022. "Driving effects of urbanization on city-level carbon dioxide emissions: from multiple perspectives of urbanization," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 26(1), pages 108-128, January.
    4. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    5. Wang, Yuan & Li, Li & Kubota, Jumpei & Han, Rong & Zhu, Xiaodong & Lu, Genfa, 2016. "Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries," Applied Energy, Elsevier, vol. 168(C), pages 375-380.
    6. Li-Jing Liu & Hong-Dian Jiang & Qiao-Mei Liang & Felix Creutzig & Hua Liao & Yun-Fei Yao & Xiang-Yan Qian & Zhong-Yuan Ren & Jing Qing & Qi-Ran Cai & Ottmar Edenhofer & Yi-Ming Wei, 2023. "Carbon emissions and economic impacts of an EU embargo on Russian fossil fuels," Nature Climate Change, Nature, vol. 13(3), pages 290-296, March.
    7. Ibrahim Mohamed Ali Ali, 2023. "Income Inequality and Environmental Degradation in Middle-Income Countries: A Test of Two Competing Hypotheses," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(2), pages 299-321, April.
    8. Xiaodong Yang & Jianlong Wang & Jianhong Cao & Siyu Ren & Qiying Ran & Haitao Wu, 2022. "The spatial spillover effect of urban sprawl and fiscal decentralization on air pollution: evidence from 269 cities in China," Empirical Economics, Springer, vol. 63(2), pages 847-875, August.
    9. Badi H. Baltagi & Long Liu, 2016. "Random Effects, Fixed Effects and Hausman's Test for the Generalized Mixed Regressive Spatial Autoregressive Panel Data Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 638-658, April.
    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. Rasool, Samma Faiz & Zaman, Shah & Jehan, Noor & Chin, Tachia & Khan, Saleem & Zaman, Qamar uz, 2022. "Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Zhao, Mengxue & Yuan, Zhihang & Chan, Hon S., 2023. "Housing wealth and household carbon emissions: The role of homeownership in China," Ecological Economics, Elsevier, vol. 212(C).
    3. Ya Wu & Chenyang Shuai & Liu Wu & Liyin Shen & Jianzhong Yan & Liudan Jiao & Shiju Liao, 2020. "A new experience mining approach for improving low carbon city development," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 922-934, July.
    4. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    5. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.
    6. Dong, Kangyin & Zhao, Congyu & Nepal, Rabindra & Zander, Kerstin K., 2025. "Are natural disasters stumbling blocks to carbon inequality mitigation? A global perspective," Ecological Economics, Elsevier, vol. 227(C).
    7. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Guorong Chen & Changyan Liu, 2023. "Can Low–Carbon City Development Stimulate Population Growth? Insights from China’s Low–Carbon Pilot Program," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    9. Zhang, Yun-Long & Liu, Lan-Cui & Kang, Jia-Ning & Peng, Song & Mi, Zhifu & Liao, Hua & Wei, Yi-Ming, 2024. "Economic feasibility assessment of coal-biomass co-firing power generation technology," Energy, Elsevier, vol. 296(C).
    10. Keyi Duan & Mingyao Cao & Nurhafiza Abdul Kader Malim & Yan Song, 2022. "Nonlinear Relationship between Financial Development and CO 2 Emissions—Based on a PSTR Model," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    11. Dong Jichang & He Jing & Li Xiuting & Mou Xindi & Dong Zhi, 2020. "The Effect of Industrial Structure Change on Carbon Dioxide Emissions: A Cross-Country Panel Analysis," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 1-16, February.
    12. Eryu Zhang & Xiaoyu He & Peng Xiao, 2022. "Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    13. Longyu Shi & Xueqin Xiang & Wei Zhu & Lijie Gao, 2018. "Standardization of the Evaluation Index System for Low-Carbon Cities in China: A Case Study of Xiamen," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    14. Xinlin Zhang, 2020. "Estimation of eco‐efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations," Growth and Change, Wiley Blackwell, vol. 51(2), pages 792-808, June.
    15. 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).
    16. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    17. Cai, Yurong & Zhou, Pengfei & Zhang, Yiting & Shen, Yang, 2023. "Natural resources extraction and sustainable environment: COP26 perspective for China," Resources Policy, Elsevier, vol. 82(C).
    18. Xing Zhang, 2018. "Short-Term Load Forecasting for Electric Bus Charging Stations Based on Fuzzy Clustering and Least Squares Support Vector Machine Optimized by Wolf Pack Algorithm," Energies, MDPI, vol. 11(6), pages 1-18, June.
    19. 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).
    20. Yi Xiao & Yuantao Liao & Zhe Li & Zhuojun Li & Shaojian Wang, 2023. "Impacts of Land Urbanization on CO 2 Emissions: Policy Implications Based on Developmental Stages," Land, MDPI, vol. 12(10), pages 1-15, October.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03708-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.