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Two quantitative indices for the planning and evaluation of eco-industrial parks

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  • Tiejun, Dai

Abstract

The paper describes the application of biological theory to an eco-industrial park (EIP), and provides support to some earlier research. Natural ecological theory is applied to the development of two indices by which to evaluate an EIP. The first index is the eco-connectance of an EIP that defines the degree of the connectivity among the enterprises or factories in an EIP; the second index defines the degree of byproduct and waste recycling in an EIP. The eco-connectances and the byproduct and waste recycling rates of selected EIPs were analyzed with the aid of theories that are proposed in the paper, and corresponding measures are put forward for planning and building of EIPs in the future.

Suggested Citation

  • Tiejun, Dai, 2010. "Two quantitative indices for the planning and evaluation of eco-industrial parks," Resources, Conservation & Recycling, Elsevier, vol. 54(7), pages 442-448.
    • Handle: RePEc:eee:recore:v:54:y:2010:i:7:p:442-448
    DOI: 10.1016/j.resconrec.2009.09.010
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    References listed on IDEAS

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    1. Catherine Hardy & Thomas E. Graedel, 2002. "Industrial Ecosystems as Food Webs," Journal of Industrial Ecology, Yale University, vol. 6(1), pages 29-38, January.
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    Cited by:

    1. Yong, Wen Ni & Liew, Peng Yen & Woon, Kok Sin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2021. "A pinch-based multi-energy targeting framework for combined chilling heating power microgrid of urban-industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Yuxi Dai & Steven Day & Donato Masi & Ismail Gölgeci, 2022. "A synthesised framework of eco‐industrial park transformation and stakeholder interaction," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3122-3151, November.
    3. Mohamed Amine Anane & Faezeh Bagheri & Elvezia Maria Cepolina & Flavio Tonelli, 2023. "Impact of Transportation Costs on the Establishment of an Industrial Symbiosis Network," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    4. Roxana Lavinia Pacurariu & Sorin Daniel Vatca & Elena Simina Lakatos & Laura Bacali & Mircea Vlad, 2021. "A Critical Review of EU Key Indicators for the Transition to the Circular Economy," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    5. Chris Davis & Graham Aid, 2022. "Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 27-43, February.

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