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Environmentally Important Inter sectoral Flows: Insights from Main Contributions Identification and Minimal Flow Analysis

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  • Christoph Weber
  • Hermann Schnabl

Abstract

For the analysis of economic interdependences form an environmental perspective, a condensation of the information contained in input-output (IO) tables is desirable, but without much loss of the quantitative dimension. For the case of total energy requirements, main contributions identification is presented as an approach that allows a partitioning of total energy requirements by production layers and (final) energy-consuming sectors. For this purpose, a mixed monetary-energy IO model and a partitioning procedure are used. In addition, minimal flow analysis as a graphical method is used to detect importnant energetic interconnections. Environmentally Important Intersectoral Flows

Suggested Citation

  • Christoph Weber & Hermann Schnabl, 1998. "Environmentally Important Inter sectoral Flows: Insights from Main Contributions Identification and Minimal Flow Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 337-356.
    • Handle: RePEc:taf:ecsysr:v:10:y:1998:i:4:p:337-356
    DOI: 10.1080/09535319800000025
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    Citations

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    Cited by:

    1. Tarancón, Miguel Angel & del Río, Pablo & Callejas Albiñana, Fernando, 2010. "Assessing the influence of manufacturing sectors on electricity demand. A cross-country input-output approach," Energy Policy, Elsevier, vol. 38(4), pages 1900-1908, April.
    2. Biao Huang, 2018. "An exhaustible resources model in a dynamic input–output framework: a possible reconciliation between Ricardo and Hotelling," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-24, December.
    3. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    4. MESNARD, Louis de, 2000. "Qualitative methods of structural analysis: Layer-based methods are informationally trivial," LATEC - Document de travail - Economie (1991-2003) 2000-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    5. Kagawa, Shigemi & Nakamura, Shinichiro & Inamura, Hajime & Yamada, Masato, 2007. "Measuring spatial repercussion effects of regional waste management," Resources, Conservation & Recycling, Elsevier, vol. 51(1), pages 141-174.
    6. Manfred Lenzen, 2001. "A Generalized Input-Output Multiplier Calculus for Australia," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 65-92.
    7. Tarancón Morán, Miguel Ángel & del Ri­o, Pablo & Albiñana, Fernando Callejas, 2008. "Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case," Energy Policy, Elsevier, vol. 36(6), pages 1915-1926, June.

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