JOURNAL ARTICLE
Treat, Dump, or Export? How Domestic and International Waste Management Policies Shape Waste Chain Outcomes.
Published In: Management Science (INFORMS), 2024, v. 70, n. 11. P. 7397 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Wijnsma, Sytske C.; Lauga, Dominique Olié; Toktay, L. Beril 3 of 3
Abstract
The article analyzes how domestic and international waste regulations affect firm incentives and compliance in decentralized waste disposal chains characterized by double-sided information asymmetry between waste producers and treatment operators. It models a two-agent waste chain where producers generate high- or low-quality waste (private information) and operators differ in treatment efficiency (also private information), allowing both parties to noncomply via illegal export or local dumping. The study identifies three equilibrium outcomes—breakdown, partial compliance, and full compliance—and finds that focusing enforcement solely on penalizing dumping by operators or restricting low-quality waste exports can backfire, increasing environmental harm by displacing dumping with export or vice versa. Instead, the authors recommend reducing asymmetry in export regulation costs between waste categories and increasing penalties on producers for downstream dumping to better align incentives, reduce environmental harm, and potentially improve waste chain profits. The findings hold under various information structures and highlight the importance of coordinated domestic and international policies tailored to the multiagent nature of waste chains.
Additional Information
- Source:Management Science (INFORMS). 2024/11, Vol. 70, Issue 11, p7397
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0025-1909
- DOI:10.1287/mnsc.2021.02061
- Accession Number:180699484
- Copyright Statement:Copyright of Management Science (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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.