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Does Social Capital Promote Garbage Classification? Evidence From China

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  • Mingwei Liu
  • Qingxiang Feng

Abstract

A new round of garbage classification campaign is carrying out in China. Using Chinese General Social Survey (CGSS) Data in 2013, the study focuses on the influence mechanism of social capital on garbage classification in China and the difference between urban and rural areas. Descriptive analysis, Ordered Logit model and “Coefficient clustering method†were used in this study. The results show that social capital (online social capital, social network, social trust) can effectively promote garbage classification after controlling the relevant individual characteristic variables in China. China’s garbage classification is embedded in the Chinese social environment. Further analyzing the marginal effect of social capital found that online social capital has the large marginal effect. The effect of social network is greater than the influence effect of social trust. But the marginal effect of social trust is higher than the marginal effect of social network. And social trust has the largest marginal effect. This not only makes up for the previous literature’s neglect of online social capital, marginal effect, but also illustrates the importance of online social capital. And it proves the interaction between traditional Chinese social network and modern social trust. In addition, the influence of social capital on urban and rural garbage classification is heterogeneous in China. Both social trust and social network have influence on the urban classification garbage. However, only social network have a significant influence in rural areas, and social trust has not played a role. China’s garbage classification should focus on social factors, that is, the influence of social capital. It is necessary to follow the coupling between the top-down logic of government and the bottom-up logic of society, and realize the nationwide participation. It is of great significance for promoting the sustainable development of China and the sustainable development of the world.

Suggested Citation

  • Mingwei Liu & Qingxiang Feng, 2021. "Does Social Capital Promote Garbage Classification? Evidence From China," SAGE Open, , vol. 11(3), pages 21582440211, August.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211040781
    DOI: 10.1177/21582440211040781
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    References listed on IDEAS

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    1. Pretty, Jules & Ward, Hugh, 2001. "Social Capital and the Environment," World Development, Elsevier, vol. 29(2), pages 209-227, February.
    2. George Marbuah, 2019. "Is willingness to contribute for environmental protection in Sweden affected by social capital?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(3), pages 451-475, July.
    3. Ishihara, Hiroe & Pascual, Unai, 2009. "Social capital in community level environmental governance: A critique," Ecological Economics, Elsevier, vol. 68(5), pages 1549-1562, March.
    4. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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    Cited by:

    1. Wenchao Cui & Yanjun Chen & Hengyuan Zeng, 2024. "Can Internet Use Narrow the Gap between Farmers’ Willingness and Behavior in Waste Classification? Empirical Evidence from Rural Areas in Jiangsu Province, China," Sustainability, MDPI, vol. 16(7), pages 1-17, March.
    2. Dingde Xu & Chen Qing & Yang Chen & Jia He & Fengwan Zhang, 2023. "Sustainable Development of Rural Human Settlements in the Information Age: Can Internet Use Drive Farmers to Participate in Garbage Classification?," Agriculture, MDPI, vol. 13(4), pages 1-17, April.
    3. Yiming Song & Yating Zhan & Yanbin Qi & Dingde Xu & Xin Deng, 2022. "Does Political Participation Influence the Waste Classification Behavior of Rural Residents? Empirical Evidence from Rural China," Agriculture, MDPI, vol. 12(5), pages 1-12, April.
    4. Ya Huang & Zhangbao Zhong, 2023. "How Does Policy Support Affect the Behavior and Effectiveness of Domestic Waste Classification? The Mediating Role of Environmental Protection Perception," IJERPH, MDPI, vol. 20(3), pages 1-16, January.

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