IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v17y2013i5p731-741.html
   My bibliography  Save this article

Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks

Author

Listed:
  • Elena Romero
  • M. Carmen Ruiz

Abstract

Models of eco‐industrial parks (EIPs) might help us transform our production systems by fostering the emergence of sustainable EIPs since such models have the potential to support the decision‐making processes of cooperative companies that participate and to decrease operational uncertainties. In this article, a conceptual framework for modeling the operation of EIPs is presented. The framework is underpinned by complex adaptive systems theory, industrial ecology, and an analysis of the experiences of existing EIPs. The proposed framework draws on the observed strengths of two types of industrial symbiosis models—planned eco‐industrial parks (PEIPs) and EIPs that developed through self‐organizing symbiosis (SOS)—as well as their observed weaknesses and the features of complex adaptive systems. From this analysis, five key properties to be modeled are deduced: functionality, reliability, life span, theoretical knowledge, and adaptability. It is proposed that the properties of functionality and theoretical knowledge are determined by the goals of the EIP and its member companies, while the property of adaptability is determined by the understanding that the companies in an EIP have of the environment surrounding the EIP, while the properties of reliability and life span are determined by the internal and external relationships of the companies that make up an EIP.

Suggested Citation

  • Elena Romero & M. Carmen Ruiz, 2013. "Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks," Journal of Industrial Ecology, Yale University, vol. 17(5), pages 731-741, October.
  • Handle: RePEc:bla:inecol:v:17:y:2013:i:5:p:731-741
    DOI: 10.1111/jiec.12032
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.12032
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jiec.12032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    2. Qinghua Zhu & Ying Qu & Yong Geng & Tsuyoshi Fujita, 2017. "A Comparison of Regulatory Awareness and Green Supply Chain Management Practices Among Chinese and Japanese Manufacturers," Business Strategy and the Environment, Wiley Blackwell, vol. 26(1), pages 18-30, January.
    3. Lin Shi & Marian Chertow, 2017. "Organizational Boundary Change in Industrial Symbiosis: Revisiting the Guitang Group in China," Sustainability, MDPI, vol. 9(7), pages 1-19, June.
    4. Shimaa Al-Quradaghi & Qipeng P. Zheng & Ali Elkamel, 2020. "Generalized Framework for the Design of Eco-Industrial Parks: Case Study of End-of-Life Vehicles," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    5. Robin Molinier & Pascal da Costa, 2019. "Infrastructure sharing synergies and industrial symbiosis: optimal capacity oversizing and pricing," Post-Print hal-01792032, HAL.
    6. Carmen Ruiz-Puente & Daniel Jato-Espino, 2020. "Systemic Analysis of the Contributions of Co-Located Industrial Symbiosis to Achieve Sustainable Development in an Industrial Park in Northern Spain," Sustainability, MDPI, vol. 12(14), pages 1-28, July.
    7. Haiyan Shan & Junliang Yang & Guo Wei, 2019. "Industrial Symbiosis Systems: Promoting Carbon Emission Reduction Activities," IJERPH, MDPI, vol. 16(7), pages 1-23, March.
    8. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
    9. Carmen Ruiz-Puente, 2021. "Proposal of a Conceptual Model to Represent Urban-Industrial Systems from the Analysis of Existing Worldwide Experiences," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    10. Yexuan Gu & Brian Deal & Linda Larsen, 2018. "Geodesign Processes and Ecological Systems Thinking in a Coupled Human-Environment Context: An Integrated Framework for Landscape Architecture," Sustainability, MDPI, vol. 10(9), pages 1-24, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:17:y:2013:i:5:p:731-741. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.