Integrating Multiple-Criteria Decision Making Models to Evaluate Eco-efficiency of Industrial Parks

Eco-industrial Parks (EIPs) have become a global industrial development trend that attracted many concerns of governments. The main aim of this research is to introduce an innovative framework that combines Data Envelopment Analysis (DEA) with the Analytic Hierarchy Process (AHP) for the assessment of eco-efficiency in industrial parks (IPs). The study focuses on Vietnam, where 35 industrial parks were assessed through a two-stage evaluation process. In the first stage of the model, IPs are selected with pre-conditions and DEA models evaluate these IPs on four input and three output indicators. In the second stage, nine IPs having top efficiency performance scores are reviewed and evaluated through the AHP process by the relevant experts. The findings have shown that the Khanh Phu Industrial Zone obtained the most eco-efficiency performance among 35 industrial zones in this study. The study contributed to not only a novel research methodology in the eco-industrial literature but also a good reference to practice for developing EIPs.