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Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis

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  • Fraccascia, Luca
  • Albino, Vito
  • Garavelli, Claudio A.

Abstract

An important challenge that firms should be able to tackle regards the mitigation of the environmental impact of their production processes avoiding additional costs. Using industrial symbiosis (IS), two different firms can obtain mutual environmental and economic benefits, at the same time, exchanging wastes for primary inputs. Industrial symbiosis networks (ISNs), i.e. networks of production processes exchanging wastes among them, are thus emerging and efficiency measures are needed to be defined and investigated, in order to drive the ISN design and development.

Suggested Citation

  • Fraccascia, Luca & Albino, Vito & Garavelli, Claudio A., 2017. "Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 273-286.
    • Handle: RePEc:eee:proeco:v:183:y:2017:i:pa:p:273-286
    DOI: 10.1016/j.ijpe.2016.11.003
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    3. Fraccascia, Luca & Giannoccaro, Ilaria & Albino, Vito, 2017. "Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements," Ecological Economics, Elsevier, vol. 137(C), pages 148-162.
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    5. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    6. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
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    10. 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).
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