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Does government environmental governance information disclosure improve residents’ subjective well-being? Evidence from China

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  • Jiusong Chen
  • Shanyong Wang
  • Liang Wan

Abstract

To deal with environmental deterioration issues, various regulations and laws have been implemented by the Chinese government, including disclosing environmental governance information to the public to increase environmental transparency. This has not only affected the environmental governance performance but also residents’ subjective well-being. This research aims to investigate whether, how and when government environmental governance information disclosure affects residents’ subjective well-being in China. Data were gathered from 537 respondents and the analysis revealed that government environmental governance information disclosure exerts a significantly positive effect on residents’ subjective well-being, mainly by reducing risk perception and improving perceived controllability. Furthermore, the result found that the positive influence of government environmental governance information disclosure on residents’ subjective well-being depends on information credibility. Information credibility strengthens the effect of government environmental governance information disclosure. According to the findings, relevant recommendations to perfect government environmental governance information disclosure and improve residents’ subjective well-being were provided.

Suggested Citation

  • Jiusong Chen & Shanyong Wang & Liang Wan, 2023. "Does government environmental governance information disclosure improve residents’ subjective well-being? Evidence from China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(8), pages 1720-1742, July.
    • Handle: RePEc:taf:jenpmg:v:66:y:2023:i:8:p:1720-1742
    DOI: 10.1080/09640568.2022.2038098
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    Cited by:

    1. Wang, Shanyong & Wang, Jing & Wang, Wenfu, 2023. "Do geopolitical risks facilitate the global energy transition? Evidence from 39 countries in the world," Resources Policy, Elsevier, vol. 85(PB).
    2. Wuttichai Youngswaing & Sajjakaj Jomnonkwao & Ekkapong Cheunkamon & Vatanavongs Ratanavaraha, 2024. "Key Factors Shaping Green Logistics in Thailand’s Auto Industry: An Application of Structural Equation Modeling," Logistics, MDPI, vol. 8(1), pages 1-25, February.

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