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Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability

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Abstract

At the aim of solving the increasing conflicts among the economic growth, resource shortage, and environmental aggravation, the eco-industrial park becomes a significant research issue to achieve sustainable development and circular economy. Therefore, evaluating the comprehensive benefit of eco-industrial parks and providing references and policy formulation in supporting the improvement of construction and management level for eco-industrial parks are of great significance. In this paper, a hybrid framework was proposed to assess the comprehensive benefit of eco-industrial parks in terms of circular economy and sustainability. Firstly, the evaluation index system was constructed by using grey-Delphi method, which included economic benefit criteria, social benefit criteria, and environmental benefit criteria with nine quantitative sub-criteria and four qualitative sub-criteria. Then, a new comparison-based method, namely the best-worst method, was employed to determine the weights of all sub-criteria and the performance values of all selected eco-industrial parks with respect to the qualitative sub-criteria. Finally, five selected representative eco-industrial parks in China were ranked in terms of comprehensive benefit, and the optimal eco-industrial park was selected. According to the results of comprehensive benefit evaluation for eco-industrial parks, the strengths and weaknesses of each eco-industrial park were obvious. At the end, the recommendations for the effective and rapid development of eco-industrial parks were formulated.

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Acknowledgements

This paper was supported by the National Natural Science Foundation of China (Project No. 71373076).

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Correspondence to Sen Guo.

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Zhao, H., Guo, S. & Zhao, H. Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability. Environ Dev Sustain 20, 1229–1253 (2018). https://doi.org/10.1007/s10668-017-9936-6

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  • DOI: https://doi.org/10.1007/s10668-017-9936-6

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