IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10701-d1538042.html
   My bibliography  Save this article

Identifying the Determinants of Recycling Rates in the US: A Multi-Level Analysis

Author

Listed:
  • Younsung Kim

    (Department of Environmental Science and Policy, George Mason University, Fairfax, VA 22030, USA)

  • Chanho B. Oh

    (School of Engineering & Applied Science, Yale University, New Haven, CT 06520, USA)

  • Sunho C. Oh

    (Department of Systems and Information Engineering, School of Engineering & Applied Science, University of Virginia, Charlottesville, VA 22903, USA)

  • Tarun Sivanandan

    (McIntire School of Commerce, University of Virginia, Charlottesville, VA 22903, USA)

  • John M. Small

    (Department of Geology, William & Mary, Williamsburg, VA 23185, USA)

Abstract

As sustainability challenges become more urgent, concerns about resource depletion and the need for material recovery have brought recycling to the forefront of circular economy discussions. Compared to other developed nations, the US has underperformed in recycling, with its rate remaining relatively unchanged over the last two decades. However, limited academic research has explored the factors influencing recycling rates, and little is understood about how various elements, such as infrastructure and policy measures, affect state-level recycling. Utilizing publicly available data and multivariate regression analysis that considers demographic, infrastructural, ecological, policy, and political factors, this study investigated the state-level variations that contribute to the overall US recycling rate. The findings indicate that states with a high number of landfill sites tend to recycle less, whereas those with a high number of Superfundsites are more likely to recycle more. Furthermore, states that restrict local governments from banning plastic bags and straws are negatively associated with increased recycling. This research provides important insights into how states can improve their recycling rates, which, in turn, would enhance national recycling outcomes.

Suggested Citation

  • Younsung Kim & Chanho B. Oh & Sunho C. Oh & Tarun Sivanandan & John M. Small, 2024. "Identifying the Determinants of Recycling Rates in the US: A Multi-Level Analysis," Sustainability, MDPI, vol. 16(23), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10701-:d:1538042
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10701/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10701/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:16:y:2024:i:23:p:10701-:d:1538042. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.