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A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences

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  • Jingbo Fan

    (School of Public Administration, University of International Business and Economics, No. 10, Huixindongjie, Chaoyang District, Beijing 100029, China)

  • Aobo Ran

    (School of Social Sciences, Tsinghua University, Beijing 100084, China)

  • Xiaomeng Li

    (School of Social Sciences, Tsinghua University, Beijing 100084, China)

Abstract

As the world’s largest emitter of greenhouse gases, China has been attracting attention. In the global carbon emission structure, the proportion of household carbon emissions continues to increase, and it is necessary to focus on the issue of household emissions. Based on the perspective of the family sector and the comparison of urban–rural and interprovincial differences, this study makes a thorough and systematic analysis of the factors affecting direct household carbon emissions. The average carbon emission of urban households is higher than that of rural households. Both personal background and household energy consumption facility use have important impacts on household carbon emissions, and the degree of impact varies between urban and rural areas and between provinces. Reducing household carbon emissions and achieving a harmonious coexistence between man and nature are the common goals of the government and society. The government should explore the model of green sustainable development on the basis of ensuring the energy needs of residents. Residents should also further establish a low-carbon life concept and focus on the cultivation of low-carbon lifestyles.

Suggested Citation

  • Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4919-:d:265511
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    References listed on IDEAS

    as
    1. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    2. Pedro Núñez-Cacho & Valentín Molina-Moreno & Francisco A. Corpas-Iglesias & Francisco J. Cortés-García, 2018. "Family Businesses Transitioning to a Circular Economy Model: The Case of “Mercadona”," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    3. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    4. Guangwu Chen & Thomas Wiedmann & Michalis Hadjikakou & Hazel Rowley, 2016. "City Carbon Footprint Networks," Energies, MDPI, vol. 9(8), pages 1-16, July.
    5. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    6. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    7. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    8. Xu, Xinkuo & Han, Liyan & Lv, Xiaofeng, 2016. "Household carbon inequality in urban China, its sources and determinants," Ecological Economics, Elsevier, vol. 128(C), pages 77-86.
    9. Ponce, Pablo & Alvarado, Rafael & Ponce, Katerine & Alvarado, Raquel & Granda, Danny & Yaguana, Karen, 2019. "Green returns of labor income and human capital: Empirical evidence of the environmental behavior of households in developing countries," Ecological Economics, Elsevier, vol. 160(C), pages 105-113.
    10. Fremstad, Anders & Underwood, Anthony & Zahran, Sammy, 2018. "The Environmental Impact of Sharing: Household and Urban Economies in CO2 Emissions," Ecological Economics, Elsevier, vol. 145(C), pages 137-147.
    11. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.
    12. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    13. Baul, T.K. & Datta, D. & Alam, A., 2018. "A comparative study on household level energy consumption and related emissions from renewable (biomass) and non-renewable energy sources in Bangladesh," Energy Policy, Elsevier, vol. 114(C), pages 598-608.
    14. Myles R. Allen & David J. Frame & Chris Huntingford & Chris D. Jones & Jason A. Lowe & Malte Meinshausen & Nicolai Meinshausen, 2009. "Warming caused by cumulative carbon emissions towards the trillionth tonne," Nature, Nature, vol. 458(7242), pages 1163-1166, April.
    15. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    16. Lu Jiang & Xingpeng Chen & Bing Xue, 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    17. Biying Yu & Yi-Ming Wei & Kei Gomi & Yuzuru Matsuoka, 2018. "Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households," Nature Energy, Nature, vol. 3(2), pages 109-118, February.
    18. Xiao-Wei Ma & Jia Du & Meng-Ying Zhang & Yi Ye, 2016. "Indirect carbon emissions from household consumption between China and the USA: based on an input–output model," 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. 84(1), pages 399-410, November.
    19. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    20. Pedro Nuñez-Cacho & Jaroslaw Górecki & Valentín Molina-Moreno & Francisco A. Corpas-Iglesias, 2018. "What Gets Measured, Gets Done: Development of a Circular Economy Measurement Scale for Building Industry," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
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    4. Rui Zhou & Hiroatsu Fukuda & You Li & Yafei Wang, 2023. "Comparison of Willingness to Pay for Quality Air and Renewable Energy Considering Urban Living Experience," Energies, MDPI, vol. 16(2), pages 1-21, January.

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