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Analysis of Green Transformation and Driving Factors of Household Consumption Patterns in China from the Perspective of Carbon Emissions

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  • Mei Shang

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Xinxin Shen

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Daoyan Guo

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China
    School of Management, Fudan University, Shanghai 200433, China)

Abstract

Over the years, the household sector has become the main source of carbon emissions. Thus, it is crucial to study the green transformation of household consumption patterns (HCPs) and its driving factors from the perspective of carbon emissions (CEs). This study used the Tapio decoupling method to analyze the green transformation of HCPs, employed the logarithmic mean divisia index (LMDI) method to find the driving factors of green transformation of HCPs, and conducted marginal effect analysis to identify the marginal effects of the major driving factors of green transformation of HCPs, based on the China Family Panel Studies (CFPS) database from 2012 to 2018. It was found through statistical analysis that dominant types of direct HCPs included electricity and fuel, and dominant types of indirect HCPs included necessities, health, transportation, and education. The results of empirical analysis indicated that direct household consumption structure and the per capita residential area promoted the green transformation of HCPs, while direct household per square meter residential consumption and per capita net income inhibited it. Furthermore, other factors had varying positive or negative impacts on the green transformation of HCPs, depending on regions, income levels, and urban–rural areas. The results of marginal effect analysis suggested that the marginal effects of residential area on per capita household carbon emissions (HCEs) present a trend from increasing to decreasing, while the marginal effect of household income on per capita HCEs presents an increasing trend. However, the marginal effect of household size on per capita HCEs presents a decreasing trend only for the low-income group and the western region when household size increased from five to six persons. This paper enriches the research on the green transformation of HCPs, and provides references for the formulation of green transformation policies for HCPs in different regions, income levels, and urban–rural areas.

Suggested Citation

  • Mei Shang & Xinxin Shen & Daoyan Guo, 2024. "Analysis of Green Transformation and Driving Factors of Household Consumption Patterns in China from the Perspective of Carbon Emissions," Sustainability, MDPI, vol. 16(2), pages 1-34, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:924-:d:1323872
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    References listed on IDEAS

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    1. Liu, Xiaochen & Sweeney, John, 2012. "Modelling the impact of urban form on household energy demand and related CO2 emissions in the Greater Dublin Region," Energy Policy, Elsevier, vol. 46(C), pages 359-369.
    2. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    3. Chen Li & Le Zhang & Qinyi Gu & Jia Guo & Yi Huang, 2022. "Spatio-Temporal Differentiation Characteristics and Urbanization Factors of Urban Household Carbon Emissions in China," IJERPH, MDPI, vol. 19(8), pages 1-22, April.
    4. Ming Chen & Lina Song & Xiaobo Zhu & Yanshuo Zhu & Chuanhao Liu, 2023. "Does Green Finance Promote the Green Transformation of China’s Manufacturing Industry?," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    5. 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.
    6. Clare Hanmer & Charlie Wilson & Oreane Y. Edelenbosch & Detlef P. van Vuuren, 2022. "Translating Global Integrated Assessment Model Output into Lifestyle Change Pathways at the Country and Household Level," Energies, MDPI, vol. 15(5), pages 1-31, February.
    7. Hamamoto, Mitsutsugu, 2013. "Energy-saving behavior and marginal abatement cost for household CO2 emissions," Energy Policy, Elsevier, vol. 63(C), pages 809-813.
    8. Mach, Radomír & Weinzettel, Jan & Ščasný, Milan, 2018. "Environmental Impact of Consumption by Czech Households: Hybrid Input–Output Analysis Linked to Household Consumption Data," Ecological Economics, Elsevier, vol. 149(C), pages 62-73.
    9. Tian, Xu & Geng, Yong & Dai, Hancheng & Fujita, Tsuyoshi & Wu, Rui & Liu, Zhe & Masui, Toshihiko & Yang, Xie, 2016. "The effects of household consumption pattern on regional development: A case study of Shanghai," Energy, Elsevier, vol. 103(C), pages 49-60.
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