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Published VersionCC BY V4.0, Open Access
Journal article
Small Acts With Big Impacts: Does Garbage Classification Improve Subjective Well-Being in Rural China?
Applied Research in Quality of Life, Vol.18(3), pp.1337-1363
2023
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.
Details
- Title
- Small Acts With Big Impacts: Does Garbage Classification Improve Subjective Well-Being in Rural China?
- Authors
- Junpeng Li - Huaiyin Normal UniversityPuneet Vatsa - Lincoln UniversityWanglin Ma (Corresponding Author) - Lincoln University
- Publication details
- Applied Research in Quality of Life, Vol.18(3), pp.1337-1363
- Publisher
- Springer Dordrecht
- Date published
- 2023
- DOI
- 10.1007/s11482-022-10142-z
- ISSN
- 1871-2576; 1871-2584
- Copyright note
- © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Data Availability
- The data that support the findings of this study are available from Junpeng Li upon request.
- Grant note
- The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (project No.: 72103075) and the Jiangsu Provincial Department of Education (project No.: 2020SJA1763).
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991148738602621
- Output Type
- Journal article
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