Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Analysis of The Decoupling Elasticity of Carbon Emissions in Shenzhen Residents' Daily Consumption Based on Tapio Decoupling Model

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342736,
        author={Hongai  Shi and Zhoulin  Lan and Yuwei  Huang},
        title={Analysis of The Decoupling Elasticity of Carbon Emissions in Shenzhen Residents' Daily Consumption Based on Tapio Decoupling Model},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={tapio decoupling model; carbon emissions from daily consumption; decoupling elasticity},
        doi={10.4108/eai.17-11-2023.2342736}
    }
    
  • Hongai Shi
    Zhoulin Lan
    Yuwei Huang
    Year: 2024
    Analysis of The Decoupling Elasticity of Carbon Emissions in Shenzhen Residents' Daily Consumption Based on Tapio Decoupling Model
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342736
Hongai Shi1, Zhoulin Lan1,*, Yuwei Huang1
  • 1: Guangzhou Xinhua University
*Contact email: 153501987@qq.com

Abstract

The research period of this article is from 2014 to 2021. Starting from the perspective of residents' living consumption in Shenzhen, a decoupling index model is constructed to study the emission reduction capacity of Shenzhen, and to explore the decoupling relationship between carbon emissions from residents' living consumption and their living standards and economic development. The results show that during the research period, the total carbon emissions generated by residents in Shenzhen in the field of daily consumption have been increasing year by year, showing a fluctuating ideal decoupling relationship with residents' disposable income, and a fluctuating imperfect decoupling relationship with economic growth.