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

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Author Info
Vito Albino
Erik Dietzenbacher
Silvana Kühtz

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Abstract

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.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Economic Systems Research.

Volume (Year): 15 (2003)
Issue (Month): 4 (December)
Pages: 457-480
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Handle: RePEc:taf:ecsysr:v:15:y:2003:i:4:p:457-480

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Related research
Keywords: Industrial District; Enterprise Input-output Model; Materials; Energy;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Michael Sonis, Geoffrey 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 and Francis Journals, vol. 12(3), pages 401-423, September. [Downloadable!] (restricted)
  2. Robert W. Grubbstrom, Ou Tang, 2000. "An Overview of Input-Output Analysis Applied to Production-Inventory Systems," Economic Systems Research, Taylor and Francis Journals, vol. 12(1), pages 3-25, March. [Downloadable!] (restricted)
  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. [Downloadable!] (restricted)
  4. Dietzenbacher, Erik, 2000. "Spillovers of Innovation Effects," Journal of Policy Modeling, Elsevier, vol. 22(1), pages 27-42, January. [Downloadable!] (restricted)
  5. Sonis, Michael & Hewings, J D, 1992. "Coefficient Change in Input-Output Models: Theory and Applications," Economic Systems Research, Taylor and Francis Journals, vol. 4(2), pages 143-57.
  6. 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. [Downloadable!] (restricted)
  7. Tang, Xiaoli & Elbrond, Jorgen & Li, Xiangyi, 1994. "Some Applications of Input-Output Analysis in a Gold Mine," Economic Systems Research, Taylor and Francis Journals, vol. 6(4), pages 435-47.
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  1. 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. [Downloadable!] (restricted)
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