IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6622-d1448699.html
   My bibliography  Save this article

The Carbon Emissions from Public Buildings in China: A Systematic Analysis of Evolution and Spillover Effects

Author

Listed:
  • Xiaogang Song

    (School of Management Science and Information Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China
    School of Management, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Shufan Zhai

    (School of Management Science and Information Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China)

  • Na Zhou

    (School of Management Science and Information Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China)

Abstract

Public buildings, being the primary source of carbon emissions in China’s construction sector, present a pressing need for emission control. This imperative task not only ensures the sustainable progression of China’s building industry but also holds pivotal significance in the realm of global energy conservation and emission curtailment. This study analyzed the spatiotemporal evolution of carbon emissions from public buildings in China and assessed the spatial influence of related factors using a dataset covering 30 provincial units from 2006 to 2021. The analysis employed Theil’s index, Moran’s I index, standard deviation ellipse, and the spatial Durbin model. The study revealed an upward trajectory in carbon emissions from public buildings in China, although the growth rate was generally decreasing. Disparities in emission distribution among provincial units stem largely from intra-regional distinctions, notably prominent in the Low-Intensity High-Economy regions. Provincial carbon emissions from public buildings exhibited significant spatial correlation, manifesting as clusters of high–high and low–low patterns, indicative of mutual influence among adjacent areas. Additionally, the shift in carbon emission focal points from the northeast to the southwest underscored a more pronounced surge in the southwestern regions. Variables such as energy intensity, energy structure, per capita public building area, disposable income per capita, openness level, and environmental governance directly impact carbon emissions from public buildings. Among these, energy intensity, energy structure, disposable income per capita, and environmental governance also had spatial spillover effects. These findings provide a scientific reference and a foundation for policy-making, aiding local administrations in crafting strategies to mitigate carbon emissions from public buildings and foster sustainable progress.

Suggested Citation

  • Xiaogang Song & Shufan Zhai & Na Zhou, 2024. "The Carbon Emissions from Public Buildings in China: A Systematic Analysis of Evolution and Spillover Effects," Sustainability, MDPI, vol. 16(15), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6622-:d:1448699
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6622/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/15/6622/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guoliang Fan & Anni Zhu & Hongxia Xu, 2023. "Analysis of the Impact of Industrial Structure Upgrading and Energy Structure Optimization on Carbon Emission Reduction," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    2. Asli Yuksel, 2016. "The relationship between stock and real estate prices in Turkey : Evidence around the global financial crisis," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(1), pages 33-40.
    3. Ram, Rati, 1995. "Economic Development and Income Inequality: An Overlooked Regression Constraint," Economic Development and Cultural Change, University of Chicago Press, vol. 43(2), pages 425-434, January.
    4. Lu, Mengxue & Lai, Joseph, 2020. "Review on carbon emissions of commercial buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    5. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    6. Roberto Bachi, 1962. "Standard Distance Measures And Related Methods For Spatial Analysis," Papers in Regional Science, Wiley Blackwell, vol. 10(1), pages 83-132, January.
    7. Changcun Wen & Jiaru Zheng & Bao Hu & Qingning Lin, 2022. "Study on the Spatiotemporal Evolution and Influencing Factors of Agricultural Carbon Emissions in the Counties of Zhejiang Province," IJERPH, MDPI, vol. 20(1), pages 1-28, December.
    8. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    9. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    10. Jincai Zhao & Qianqian Liu, 2021. "Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    11. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    12. 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.
    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. Kangni Lyu & Shuwang Yang & Kun Zheng & Yao Zhang, 2023. "How Does the Digital Economy Affect Carbon Emission Efficiency? Evidence from Energy Consumption and Industrial Value Chain," Energies, MDPI, vol. 16(2), pages 1-20, January.
    2. Xujie Sun & Xiaocun Zhang, 2024. "Assessment and Driving Factors of Embodied Carbon Emissions in the Construction Sector: Evidence from 2005 to 2021 in Northeast China," Sustainability, MDPI, vol. 16(13), pages 1-18, July.
    3. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    4. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    5. Chen, Zeyu & Tang, Yuhong & Shen, Hebin & Liu, Jiali & Hu, Zheng, 2024. "Threshold effects of Government digital development and land resource disparity on Urban carbon efficiency in China," Resources Policy, Elsevier, vol. 94(C).
    6. Ning Xiang & Limao Wang & Shuai Zhong & Chen Zheng & Bo Wang & Qiushi Qu, 2021. "How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data," Energies, MDPI, vol. 14(22), pages 1-17, November.
    7. Walker, Douglas O., 2007. "Patterns of income distribution among world regions," Journal of Policy Modeling, Elsevier, vol. 29(4), pages 643-655.
    8. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    9. 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.
    10. Idiano D'Adamo & Massimo Gastaldi & Ilhan Ozturk, 2023. "The sustainable development of mobility in the green transition: Renewable energy, local industrial chain, and battery recycling," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 840-852, April.
    11. Irawan, Chandra Ade & Jones, Dylan & Hofman, Peter S. & Zhang, Lina, 2023. "Integrated strategic energy mix and energy generation planning with multiple sustainability criteria and hierarchical stakeholders," European Journal of Operational Research, Elsevier, vol. 308(2), pages 864-883.
    12. Mengmeng Meng & Weiguo Fan & Jianchang Lu & Xiaobin Dong & Hejie Wei, 2020. "Research on the Influence of Energy Utilization and Economic Development on Human Well-Being in Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 13(1), pages 1-26, December.
    13. Juan Luo & Chong Xu & Boyu Yang & Xiaoyu Chen & Yinyin Wu, 2022. "Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect," Energies, MDPI, vol. 15(14), pages 1-20, July.
    14. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    15. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    16. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    17. Qiangyi Li & Jiexiao Ge & Mingyu Huang & Xiaoyu Wu & Houbao Fan, 2024. "Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China," Land, MDPI, vol. 13(7), pages 1-24, July.
    18. Zhipeng Yu & Yi Liu & Taihua Yan & Ming Zhang, 2024. "Carbon emission efficiency in the age of digital economy: New insights on green technology progress and industrial structure distortion," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4039-4057, July.
    19. Zhixin Zhang & Min Chen & Teng Zhong & Rui Zhu & Zhen Qian & Fan Zhang & Yue Yang & Kai Zhang & Paolo Santi & Kaicun Wang & Yingxia Pu & Lixin Tian & Guonian Lü & Jinyue Yan, 2023. "Carbon mitigation potential afforded by rooftop photovoltaic in China," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    20. Bayarma Alexander & Christa Hubers & Tim Schwanen & Martin Dijst & Dick Ettema, 2011. "Anything, Anywhere, Anytime? Developing Indicators to Assess the Spatial and Temporal Fragmentation of Activities," Environment and Planning B, , vol. 38(4), pages 678-705, August.

    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:16:y:2024:i:15:p:6622-:d:1448699. 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.