IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v23y2011i1p73-89.html
   My bibliography  Save this article

Aggregation Versus Disaggregation In Input-Output Analysis Of The Environment

Author

Listed:
  • Manfred Lenzen

Abstract

Analysts carrying out input-output analyses of environmental issues are often plagued by environmental and input-output data existing in different classifications, with environmentally sensitive sectors sometimes being aggregated in the economic input-output database. In principle there are two alternatives for dealing with such misalignment: either environmental data have to be aggregated into the input-output classification, which entails an undesirable loss of information, or input-output data have to be disaggregated based on fragmentary information. In this article, I show that disaggregation of input-output data, even if based on few real data points, is superior to aggregating environmental data in determining input-output multipliers. This is especially true if the disaggregated sectors are heterogeneous with respect to their economic and environmental characteristics. The results of this work may help analysts in understanding that disaggregation based on even a small amount of proxy information can improve the accuracy of input-output multipliers significantly. Perhaps, these results will also provide encouragement for preferring model disaggregation to aggregation in future work.

Suggested Citation

  • Manfred Lenzen, 2011. "Aggregation Versus Disaggregation In Input-Output Analysis Of The Environment," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 73-89.
  • Handle: RePEc:taf:ecsysr:v:23:y:2011:i:1:p:73-89
    DOI: 10.1080/09535314.2010.548793
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09535314.2010.548793
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:ecsysr:v:23:y:2011:i:1:p:73-89. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/CESR20 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.