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Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input-Output Model


  • Vito Albino
  • Erik Dietzenbacher
  • Silvana Kuhtz


Recent approaches to sustainable development leave much room for policies at a local level. In fact, it is becoming evident that targets such as increasing resource productivity, preserving natural cycles, or extending the present level of welfare, are best pursued within the confines of a local area. In particular, environmental changes are best brought about by considering local systems of firms as cornerstones of cooperative strategies and using data on materials and energy use in physical terms. In this paper, an enterprise input-output model is developed for an industrial district, i.e. a local group of firms specialized in the production of a single final output. The model allows for a detailed quantitative analysis of materials and energy flows and the consequent generation of waste and pollution. As a planning tool, the model may be used to evaluate alternative scenarios, such as the possibility of re- using waste taking account of sustainability requirements. An empirical case study applies the model to an industrial district in Southern Italy producing leather sofas.

Suggested Citation

  • Vito Albino & Erik Dietzenbacher & Silvana Kuhtz, 2003. "Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input-Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 15(4), pages 457-480.
  • Handle: RePEc:taf:ecsysr:v:15:y:2003:i:4:p:457-480
    DOI: 10.1080/0953531032000152326

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    References listed on IDEAS

    1. Michael Sonis & J. D. Hewings & Jiemin Guo, 2000. "A New Image of Classical Key Sector Analysis: Minimum Information Decomposition of the Leontief Inverse," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 401-423.
    2. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    3. Hewings, Geoffrey J. D., 1984. "The role of prior information in updating regional input-output models," Socio-Economic Planning Sciences, Elsevier, vol. 18(5), pages 319-336.
    4. Dietzenbacher, Erik, 2000. "Spillovers of Innovation Effects," Journal of Policy Modeling, Elsevier, vol. 22(1), pages 27-42, January.
    5. Robert Grubbstrom & Ou Tang, 2000. "An Overview of Input-Output Analysis Applied to Production-Inventory Systems," Economic Systems Research, Taylor & Francis Journals, vol. 12(1), pages 3-25.
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    Cited by:

    1. 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.
    2. Yazan, Devrim Murat & Mandras, Giovanni & Garau, Giorgio, 2017. "Environmental and economic sustainability of integrated production in bio-refineries: The thistle case in Sardinia," Renewable Energy, Elsevier, vol. 102(PB), pages 349-360.
    3. Dietzenbacher, Erik & Romero Luna, Isidoro & Bosma, Niels S., 2005. "Using Average Propagation Lengths to Identify Production Chains in the Andalusian Economy/Empleando Longitudes Medias de Propagación para identificar Cadenas Productivas en la Economía Andaluza," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 23, pages 405-422, Agosto.
    4. Choi, Jun-Ki & Bakshi, Bhavik R. & Hubacek, Klaus & Nader, Jordan, 2016. "A sequential input–output framework to analyze the economic and environmental implications of energy policies: Gas taxes and fuel subsidies," Applied Energy, Elsevier, vol. 184(C), pages 830-839.
    5. Kuhtz, Silvana & Zhou, Chaoying & Albino, Vito & Yazan, Devrim M., 2010. "Energy use in two Italian and Chinese tile manufacturers: A comparison using an enterprise input–output model," Energy, Elsevier, vol. 35(1), pages 364-374.


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