JOURNAL ARTICLE

Innovative Business Models in Ocean-Bound Plastic Recycling.

  • Published In: Manufacturing & Service Operations Management (M&SOM) (INFORMS), 2024, v. 26, n. 6. P. 2160 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Baron, Opher; Romero, Gonzalo; Zhang, Zhuoluo; Zhou, Sean X. 3 of 3

Abstract

This article analyzes innovative business models of firms aiming to reduce ocean-bound plastic (OBP) pollution through a triple-bottom-line (TBL) objective that balances profit, environmental impact, and social impact. It examines three models where a firm partners with a local plastic recycling supply chain in low- and middle-income coastal countries to sell (a) plastic offsets, (b) segregated recycled plastic, or (c) both combined. The study incorporates the principle of additionality—ensuring that plastic offsets correspond only to plastic recycled beyond baseline levels—and finds that while all models generate positive social and environmental impacts, additionality can paradoxically reduce these impacts in some cases, especially when the offset market is large. Numerical results calibrated with real data indicate that selling both plastic offsets and segregated plastic (the combined model) yields the highest overall TBL value, and that firms pursuing a TBL objective can substantially increase social and environmental benefits with only a modest reduction in profit compared to profit-maximizing firms. The findings provide insights for designing sustainable and financially viable business strategies to tackle ocean plastic pollution.

Additional Information

  • Source:Manufacturing & Service Operations Management (M&SOM) (INFORMS). 2024/11, Vol. 26, Issue 6, p2160
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2024
  • ISSN:1523-4614
  • DOI:10.1287/msom.2022.0643
  • Accession Number:180921139
  • Copyright Statement:Copyright of Manufacturing & Service Operations Management (M&SOM) (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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