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Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China

Author

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  • Jia Wei

    (School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China
    Co-first author, these authors contributed equally to this work.)

  • Hong Chen

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China
    Co-first author, these authors contributed equally to this work.)

  • Ruyin Long

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The active promotion of carbon abatement to mitigate global climate change and protect the environment and public health has become the international consensus. The carbon capability is a key index for measuring the potential reduction of the carbon emissions by urban residents, and thus encouraging residents to exhibit normal and autonomous low-carbon behavior has become an important issue. In this study, based on grounded theory, data from in-depth interviews were encoded at three levels to identify the multi-layer factors that drive the carbon capability of urban residents, and we constructed a theoretical model for policy intervention. The results showed that individual factors, organizational factors, social factors, and social demographic variables were the main variables that affected the carbon capability, and utility experience perception was the main intermediary variable that affected the carbon capability. There was an obvious gap between utility experience perception and carbon capability. Low carbon selection cost was an internal situational variable that regulated the relationship between these factors, and the policy situation and technical situation were external situational variables. There were two-way effects on the carbon capability and utility experience perception. Thus, we explored these driving factors and the role of the carbon capability model. The results of this study may facilitate targeted policy thinking and the development of an implementation path for government in order to formulate effective guiding policies to enhance the carbon capability of urban residents.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1607-:d:160603
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    References listed on IDEAS

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    Cited by:

    1. Ting Yue & Ruyin Long & Junli Liu & Haiwen Liu & Hong Chen, 2019. "Empirical Study on Households’ Energy-Conservation Behavior of Jiangsu Province in China: The Role of Policies and Behavior Results," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
    2. Daoyan Guo & Xinping Wang & Taozhu Feng & Shuai Han, 2022. "Factors Influencing the Waste Separation Behaviors of Urban Residents in Shaanxi Province during the 14th National Games of China," IJERPH, MDPI, vol. 19(7), pages 1-14, April.
    3. Lingyun Mi & Yuhuan Sun & Lijie Qiao & Tianwen Jia & Yang Yang & Tao Lv, 2021. "Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    4. Daoyan Guo & Hong Chen & Ruyin Long & Shaohui Zou, 2021. "Determinants of Residents’ Approach–Avoidance Responses to the Personal Carbon Trading Scheme: An Empirical Analysis of Urban Residents in Eastern China," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    5. 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.

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