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Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software

Author

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  • Yi Chen

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430700, China)

  • Yinrong Chen

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430700, China)

  • Kun Chen

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430700, China)

  • Min Liu

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430700, China)

Abstract

Residential carbon emissions are one of the critical causes of climate problems such as global warming. It is significant to explore the development and evolution trend of residential carbon emissions research for mitigating global climate change. However, there have been no studies that comprehensively review this research field. Based on the research papers on residential carbon emissions included in the Web of Science core database and China National Knowledge Infrastructure database, the CiteSpace bibliometric analysis software was used in this paper to draw the visual knowledge map of residential carbon emissions research and reveal its research status, research hotspots, and development trend. We found that residential carbon emissions research has gone through the stage of “emergence–initiation–rapid development”, and the research in the United States and the United Kingdom has played a fundamental role in developing this research field. Research hotspots mainly focus on analyzing energy demand, quantitative measurement, and impact mechanisms of residents’ direct and indirect carbon emissions and low-carbon consumption willingness. The focus of research has gradually shifted from qualitative analysis based on relevant policies to the analysis of quantitative spatiotemporal measurements and drive mechanisms of direct and indirect carbon emissions from residential buildings, transportation, and tourism based on mathematical models and geographic information system technologies. Modern intelligent means such as remote sensing technology and artificial intelligence technology can improve the dynamics and accuracy of this research, but there are few related types of research at present. Based on these research status and trends, we proposed that the future research direction of residential carbon emissions should focus more on spatial analysis and trend prediction based on intelligent methods under a low-carbon background.

Suggested Citation

  • Yi Chen & Yinrong Chen & Kun Chen & Min Liu, 2023. "Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1706-:d:1038949
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    as
    1. Xuan Liu & Qiancheng Wang & Hsi-Hsien Wei & Hung-Lin Chi & Yaotian Ma & Izzy Yi Jian, 2020. "Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    2. Leigh Raymond, 2020. "Carbon pricing and economic populism: the case of Ontario," Climate Policy, Taylor & Francis Journals, vol. 20(9), pages 1127-1140, October.
    3. Jukka Heinonen & Antti-Juhani Säynäjoki & Matti Kuronen & Seppo Junnila, 2012. "Are the Greenhouse Gas Implications of New Residential Developments Understood Wrongly?," Energies, MDPI, vol. 5(8), pages 1-20, August.
    4. Vringer, Kees & van Middelkoop, Manon & Hoogervorst, Nico, 2016. "Saving energy is not easy," Energy Policy, Elsevier, vol. 93(C), pages 23-32.
    5. Liu, Gang & Rasul, M.G. & Amanullah, M.T.O. & Khan, M.M.K., 2012. "Techno-economic simulation and optimization of residential grid-connected PV system for the Queensland climate," Renewable Energy, Elsevier, vol. 45(C), pages 146-155.
    6. Diana Reckien & Maren Ewald & Ottmar Edenhofer & Matthias K. B. Liideke, 2007. "What Parameters Influence the Spatial Variations in CO2 Emissions from Road Traffic in Berlin? Implications for Urban Planning to Reduce Anthropogenic CO2 Emissions," Urban Studies, Urban Studies Journal Limited, vol. 44(2), pages 339-355, February.
    7. Cristian Barra & Giovanna Bimonte & Luigi Senatore, 2019. "Cooperation, diffusion of technology and environmental protection: a new index," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1913-1940, July.
    8. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).
    9. Áróra Árnadóttir & Michał Czepkiewicz & Jukka Heinonen, 2019. "The Geographical Distribution and Correlates of Pro-Environmental Attitudes and Behaviors in an Urban Region," Energies, MDPI, vol. 12(8), pages 1-29, April.
    10. Fang, Xingming & Wang, Lu & Sun, Chuanwang & Zheng, Xuemei & Wei, Jing, 2021. "Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China," Energy Policy, Elsevier, vol. 148(PA).
    11. Ning Xu & He Zhang & Tixin Li & Xiao Ling & Qian Shen, 2022. "How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    12. Runst, Petrik & Thonipara, Anita, 2020. "Dosis facit effectum why the size of the carbon tax matters: Evidence from the Swedish residential sector," Energy Economics, Elsevier, vol. 91(C).
    13. Crawford, Jenny & French, Will, 2008. "A low-carbon future: Spatial planning's role in enhancing technological innovation in the built environment," Energy Policy, Elsevier, vol. 36(12), pages 4575-4579, December.
    14. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Seon Park, Hyo, 2014. "Development of a new energy efficiency rating system for existing residential buildings," Energy Policy, Elsevier, vol. 68(C), pages 218-231.
    15. Aguiléra, Anne & Voisin, Marion, 2014. "Urban form, commuting patterns and CO2 emissions: What differences between the municipality’s residents and its jobs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 243-251.
    16. Holian, Matthew J. & Kahn, Matthew E., 2015. "Household carbon emissions from driving and center city quality of life," Ecological Economics, Elsevier, vol. 116(C), pages 362-368.
    17. Jani Laine & Juudit Ottelin & Jukka Heinonen & Seppo Junnila, 2017. "Consequential Implications of Municipal Energy System on City Carbon Footprints," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    18. Lutsey, Nicholas & Sperling, Daniel, 2008. "America's bottom-up climate change mitigation policy," Energy Policy, Elsevier, vol. 36(2), pages 673-685, February.
    19. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    20. Ming Cao & Wei Kang & Qingren Cao & M. Jawad Sajid, 2020. "Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5443-5464, August.
    21. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    22. Chaopeng Hong & Qiang Zhang & Yang Zhang & Steven J. Davis & Xin Zhang & Dan Tong & Dabo Guan & Zhu Liu & Kebin He, 2020. "Weakening aerosol direct radiative effects mitigate climate penalty on Chinese air quality," Nature Climate Change, Nature, vol. 10(9), pages 845-850, September.
    23. Sung Ju Cho & Bruce McCarl, 2021. "Major United States Land Use as Influenced by an Altering Climate: A Spatial Econometric Approach," Land, MDPI, vol. 10(5), pages 1-16, May.
    24. Jia Wei & Hong Chen & Ruyin Long, 2018. "Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China," IJERPH, MDPI, vol. 15(8), pages 1-19, July.
    25. Z. H. Ding & Y. Q. Li & C. Zhao & Y. Liu & R. Li, 2019. "Factors affecting heating energy-saving behavior of residents in hot summer and cold winter regions," 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. 95(1), pages 193-206, January.
    26. repec:cdl:itsdav:qt8jj755d4 is not listed on IDEAS
    27. Randall Crane & John Landis, 2010. "Introduction to the Special Issue," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(4), pages 389-401.
    28. Smith, Inga J. & Rodger, Craig J., 2009. "Carbon emission offsets for aviation-generated emissions due to international travel to and from New Zealand," Energy Policy, Elsevier, vol. 37(9), pages 3438-3447, September.
    29. Riikka Kyrö & Jukka Heinonen & Antti Säynäjoki & Seppo Junnila, 2012. "Assessing the Potential of Climate Change Mitigation Actions in Three Different City Types in Finland," Sustainability, MDPI, vol. 4(7), pages 1-15, July.
    30. Verbai, Zoltán & Lakatos, Ákos & Kalmár, Ferenc, 2014. "Prediction of energy demand for heating of residential buildings using variable degree day," Energy, Elsevier, vol. 76(C), pages 780-787.
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    3. Gongyi Jiang & Weijun Gao & Meng Xu & Mingjia Tong & Zhonghui Liu, 2023. "Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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