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Small Acts With Big Impacts: Does Garbage Classification Improve Subjective Well-Being in Rural China?

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  • Junpeng Li

    (Huaiyin Normal University)

  • Puneet Vatsa

    (Lincoln University)

  • Wanglin Ma

    (Lincoln University)

Abstract

Solid waste has surged in rural China, home to more than 540 million people. To preserve the environment, the Chinese government has piloted garbage classification programs. However, little is known about whether and to what extent classifying garbage affects people's subjective well-being—should its effects be positive, people would be more amenable to classifying garbage, making it easier to entrench garbage classification practices and programs and ultimately improve the environment. Accordingly, we analyze the impact of garbage classification on subjective well-being using the 2020 China Land Economic Survey data. An endogenous treatment regression model is utilized to address self-selection into garbage classification programs. We find that this simple and somewhat mundane practice can significantly improve people's happiness and life satisfaction. These results reaffirm the compound benefits of allocating more public resources to accelerate the adoption of garbage classification in rural areas.

Suggested Citation

  • Junpeng Li & Puneet Vatsa & Wanglin Ma, 2023. "Small Acts With Big Impacts: Does Garbage Classification Improve Subjective Well-Being in Rural China?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(3), pages 1337-1363, June.
    • Handle: RePEc:spr:ariqol:v:18:y:2023:i:3:d:10.1007_s11482-022-10142-z
    DOI: 10.1007/s11482-022-10142-z
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    Cited by:

    1. Zhu, Huanyu & Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun, 2023. "Clean energy use and subjective and objective health outcomes in rural China," Energy Policy, Elsevier, vol. 183(C).

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    More about this item

    Keywords

    Garbage classification; Happiness; Life satisfaction; Endogenous treatment regression model; China;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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