IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/m73ef_v1.html
   My bibliography  Save this paper

Exploring strategies to tackle plastic waste pollution: Evidence from Vietnamese household survey and Bayesian approach

Author

Listed:
  • Khuc, Van Quy
  • Tran, Phuong-Mai
  • Nguyen, Thuy
  • Pham, Phu
  • Tran, Duc-Trung

Abstract

As one of the world’s fastest-growing economies, Vietnam is tackling environmental pollution, particularly plastic waste. According to a recently published report, the country is one of the world’s top five marine polluters of plastic waste. This study contributes to the literature and practical solutions by better understanding households’ perceptions, behaviours, and motivations for sorting waste, contributing to the environmental fund and relocating. The questionnaire-based interview method was used to collect information from 730 households in 25 provinces in Vietnam during February 2022. Statistical descriptive method and Bayesian regression model coupled with mindsponge mechanism were employed to explore and analyse the data. The findings show that people’s strategies and responses to plastic waste pollution vary: 38.63% of respondents have been sorting waste at home, 74.25% agreed to contribute to the environmental fund, and 23.56% plan to relocate to find a better living place. The households’ strategies and intentions are driven by many structural and contextual factors such as age, income, care about the environment, and the perceived effect of polluted waste. More importantly, communication is a robust variable in sorting waste decisions, which suggests that better communication would help increase people’s awareness and real actions in reducing plastic waste and ultimately improving the environment. The findings of our study will benefit the ongoing green economy, circular economy, and green growth transition toward more sustainable development, particular in developing and fast population growing nations.

Suggested Citation

  • Khuc, Van Quy & Tran, Phuong-Mai & Nguyen, Thuy & Pham, Phu & Tran, Duc-Trung, 2022. "Exploring strategies to tackle plastic waste pollution: Evidence from Vietnamese household survey and Bayesian approach," OSF Preprints m73ef_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:m73ef_v1
    DOI: 10.31219/osf.io/m73ef_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/62f60b9657751308cef2547b/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/m73ef_v1?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:osf:osfxxx:m73ef_v1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.