Evaluating the comprehensive benefit of eco-industrial parks by employing multi -criteria decision making approach for circular economy

With the increasing conflicts among economic growth, environmental deterioration, and resource shortage, as an effective way to achieve the sustainable development and circular economy, the ecoindustrial park gradually becomes a critical research issue in the field of recycling economy. In this paper, a hybrid framework for evaluating the comprehensive benefit of eco-industrial parks from the perspective of circular economy was proposed. Firstly, the evaluation index system for eco-industrial parks was constructed by employing the grey-Delphi method according to the opinions provided by experts from relevant fields, which includes economic benefit criteria, social benefit criteria, environmental benefit criteria, ecology industry construction criteria, and management level criteria, consisting of seventeen quantitative sub-criteria and nine qualitative sub-criteria. Secondly, in order to solve complicated, uncertain and ambiguous problems under the fuzzy background, a hybrid multi-criteria decision making (MCDM) approach was put forward on the basis of superiority linguistic ratings and entropy weight method for weight determination as well as fuzzy-VIKOR for ranking alternatives. Finally, the effectiveness and practicality of the proposed hybrid MCDM approach was demonstrated through a case analysis of six representative eco-industrial parks in China, and the comprehensive benefits of six eco-industrial parks were prioritized effectively. The hybrid MCDM approach in this paper presents a great potential in evaluating and ranking the comprehensive benefits of eco-industrial parks through solving complex and ambiguous problems in a fuzzy environment and varying MCDM tools. The evaluation findings by employing the proposed MCDM approach can provide references for the construction and management of eco-industrial parks and relevant policy formulation. (C) 2016 Elsevier Ltd. All rights reserved.