From waste to profit: An environmental, social, and governance (ESG) framework for integrating recycled plastic into sustainable concrete production
Ali Mahmoudi et al.
Abstract
• Explores benefits of adding treated plastics in concrete by life cycle assessment. • Proposes a framework to optimize location and capacity of waste treatment centres. • Develops a game model for optimal pricing and adoption strategy of green concrete. • The advocated strategy enables 63% of concrete producers to adopt treated plastics. • Taking environment, social, and governance reduces 15% of concrete pollutions. The construction sector, a long-standing contributor to global pollution, is increasingly adopting sustainable alternatives to traditional building materials. This study evaluates the use of chemically treated post-consumer plactic packaging waste as a partial cement replacement in concrete production through an environmental, social, and governance oriented analytical framework. We combine life cycle assessment, a bi-objective location-allocation model, and evolutionary game theory to examine the environmental, economic, and governance-related implications of large-scale adoption. The life cycle assessment shows that substituting 3% of cement with treated plastic reduces global warming potential by 15% compared with conventional concrete. The location-allocation model identifies supply chain configurations that balance cost and emissions, while the game-theoretic analysis captures how producers adjust pricing and adoption in response to different governance mechanisms, including subsidies, taxes, and awareness policies. A Canadian case study indicates that, under supportive governance conditions, the share of green producers can increase by up to 63%, demonstrating how coordinated policy interventions can accelerate sustainable transitions. Overall, the results show how integrating environmental assessment, supply chain design, and governance-driven behavioral responses can support the development of more sustainable concrete technologies.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.