IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v11y2021i3p21582440211040781.html
   My bibliography  Save this article

Does Social Capital Promote Garbage Classification? Evidence From China

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440211040781
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440211040781?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. R.W.M.N. Gunasekara & S.P. Premaratne & H.M.S. Priyanath, 2017. "Impact of Social Capital on Livelihood Success of the Members of Community Based Organizations in Sri Lanka," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 1156-1167, December.
    2. Janmaat, Johannus & Geleta, Solomon & Loomis, John, 2019. "Detecting social network effects on willingness to pay for environmental improvements using egocentric network measures," MPRA Paper 96675, University Library of Munich, Germany.
    3. Górriz-Mifsud, Elena & Secco, Laura & Pisani, Elena, 2016. "Exploring the interlinkages between governance and social capital: A dynamic model for forestry," Forest Policy and Economics, Elsevier, vol. 65(C), pages 25-36.
    4. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    5. Jonas Hedlund & Carlos Oyarzun, 2018. "Imitation in heterogeneous populations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(4), pages 937-973, June.
    6. Cao, Melanie & Shi, Shouyong, 2006. "Signaling in the Internet craze of initial public offerings," Journal of Corporate Finance, Elsevier, vol. 12(4), pages 818-833, September.
    7. Kraemer, Carlo & Noth, Markus & Weber, Martin, 2006. "Information aggregation with costly information and random ordering: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 59(3), pages 423-432, March.
    8. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    9. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    10. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
    11. Boğaçhan Çelen & Kyle Hyndman, 2012. "An experiment of social learning with endogenous timing," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 251-268, September.
    12. Hiroshi Kitamura, 2007. "Capacity Expansion in Markets with Intertemporal Consumption Externalities," Discussion Papers in Economics and Business 07-11, Osaka University, Graduate School of Economics.
    13. Bohl, Martin T. & Branger, Nicole & Trede, Mark, 2017. "The case for herding is stronger than you think," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 30-40.
    14. Hussinger, Katrin & Pellens, Maikel, 2019. "Guilt by association: How scientific misconduct harms prior collaborators," Research Policy, Elsevier, vol. 48(2), pages 516-530.
    15. Di Bella, Gabriel & Grigoli, Francesco, 2019. "Optimism, pessimism, and short-term fluctuations," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 79-96.
    16. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    17. Tobias Böhmelt & Jürg Vollenweider, 2015. "Information flows and social capital through linkages: the effectiveness of the CLRTAP network," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 15(2), pages 105-123, May.
    18. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    19. repec:ebl:ecbull:v:3:y:2007:i:68:p:1-7 is not listed on IDEAS
    20. Battaglini, Marco, 2005. "Sequential voting with abstention," Games and Economic Behavior, Elsevier, vol. 51(2), pages 445-463, May.
    21. Bruno S. Frey & Alois Stutzer, 2006. "Environmental Morale and Motivation," CREMA Working Paper Series 2006-17, Center for Research in Economics, Management and the Arts (CREMA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211040781. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.