AUTHOR=Ismail Muhammad , Al-Ansari Tareq TITLE=Enhancing sustainability within industrial cooperative networks through the evaluation of economically compromised entities JOURNAL=Frontiers in Sustainability VOLUME=4 YEAR=2023 URL=https://www.frontiersin.org/journals/sustainability/articles/10.3389/frsus.2023.1089450 DOI=10.3389/frsus.2023.1089450 ISSN=2673-4524 ABSTRACT=Introduction

While promoting sustainable industrial cluster development using the circular economy perspective, the increased use of underutilized materials results in compromised profitability in the cooperative network. The focus is to evaluate the external financial support required in industrial clusters against specific objectives and highlight the potential beneficiaries and losers in financial terms because of industrial symbiosis while closing material loops.

Method

This study provides an agent-based approach to record the system response based on three case studies to demonstrate the potential cost variations: The first case is about utilizing only naturally available resources by all the industrial entities and is taken as a base case. The second case is about targeting the lowest cost for each product, and the third one provides a sustainable and flexible solution by targeting the best transformation methods and materials.

Conclusion

The study concludes with valuable insights to identify the economically compromised entities in an industrial cluster network by considering economic deviations beyond a critical value. It can help take concrete measures in the form of incentives or investors subsidies by governmental organizations, regulators, and policymakers to intervene and stimulate markets through targeted financial support/policies to the compromised entities. This results in improved materials loop closing, essentially promoting sustainable production systems in industrial clusters. Additionally, such financial support/incentives also influence the scarcity or accumulation of by-products or low-value materials, ultimately improving the industrial network's environmental and economic performance.