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A Bibliometric Review of Household Carbon Footprint during 2000–2022

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  • Fang Shen

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Wisdom City and Environment Modeling of Higher Education Institute, Urumqi 830046, China)

  • Zibibula Simayi

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Wisdom City and Environment Modeling of Higher Education Institute, Urumqi 830046, China)

  • Shengtian Yang

    (Institute of Water Science, Beijing Normal University, Beijing 100875, China)

  • Yusuyunjiang Mamitimin

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Wisdom City and Environment Modeling of Higher Education Institute, Urumqi 830046, China)

  • Xiaofen Zhang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Wisdom City and Environment Modeling of Higher Education Institute, Urumqi 830046, China)

  • Yunyi Zhang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Wisdom City and Environment Modeling of Higher Education Institute, Urumqi 830046, China)

Abstract

With the increasing contribution of household carbon footprint to the global carbon footprint, household carbon footprint as a critical component of future carbon reduction has become a research hotspot to mitigate global warming and maintain sustainable economic development. The Web of Science (WOS) database is the literature data source. The literature on household carbon footprint is analyzed with the help of the visualization software CiteSpace. The collected data are analyzed using bibliometric analysis tools for knowledge base analysis, cooperative network analysis, and knowledge evolution analysis to grasp the developmental pulse of household carbon footprint. The findings show that the co-citation analysis reveals that household carbon footprint research has a clear knowledge base and shows a clear trend over time. The classic literature lays the foundation for subsequent diversified and interdisciplinary articles. The subsequent research hotspots show apparent inheritance and development characteristics, with many diversified and interdisciplinary studies appearing after 2008. Based on the three-level cooperation network analysis, household carbon footprint research has a clear structure of research cooperation network. Cross-institution and cross-country articles collaborate frequently; most authors tend to co-author articles, and there are still a small number of authors who write independently, among which China, Chinese institutions, and Chinese authors make significant contributions. Developed countries represented by the U.S. have chosen cross-region cooperation at the macro level through multifaceted research. The co-word and journal overlay analyses reveal that household carbon footprint research encompasses various research topics. The apparent shift of keywords within each research phase directly proves that household carbon footprint research is gradually developing into an interdisciplinary and diversified homogeneous field. This paper analyzes the evolution of household carbon footprint in detail and composes the basic knowledge which can provide a reliable reference for subsequent scholars.

Suggested Citation

  • Fang Shen & Zibibula Simayi & Shengtian Yang & Yusuyunjiang Mamitimin & Xiaofen Zhang & Yunyi Zhang, 2023. "A Bibliometric Review of Household Carbon Footprint during 2000–2022," Sustainability, MDPI, vol. 15(7), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6138-:d:1114678
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    References listed on IDEAS

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    2. Łukasz Mazur & Anatolii Olenchuk, 2023. "Life Cycle Assessment and Building Information Modeling Integrated Approach: Carbon Footprint of Masonry and Timber-Frame Constructions in Single-Family Houses," Sustainability, MDPI, vol. 15(21), pages 1-20, October.

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