IDEAS home Printed from https://ideas.repec.org/p/ieu/wpaper/37.html
   My bibliography  Save this paper

A selecção de indicadores no estudo prospectivo “Forecasting the carbon footprint to road freight transport in 2020” [Indicator selection in the foresight study “Forecasting the carbon footprint to road freight transport in 2020”]

Author

Listed:
  • Nuno Boavida

    (IET, Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia)

Abstract

This work examines a recent study that used various forecasting methods and in particular the Delphi method, to understand how the indicators were selected during the development of the prospective study. It can be concluded that the indicators in the study were selected through discussion on existing knowledge (formal and informal) and the broad consensus of the respective community, which established and confirmed the choice of indicators as the most relevant to prospectively examine the matter concerned. The technical support provided to choose certain forecasting methods as well as to choose the methods that could not be used throughout the development of the work, contributed to the strength of the list of indicators.

Suggested Citation

  • Nuno Boavida, 2011. "A selecção de indicadores no estudo prospectivo “Forecasting the carbon footprint to road freight transport in 2020” [Indicator selection in the foresight study “Forecasting the carbon footprint to ro," IET Working Papers Series 06/2011, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    • Handle: RePEc:ieu:wpaper:37
    as

    Download full text from publisher

    File URL: http://run.unl.pt/handle/10362/6615
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Indicators; forecasting; Delphi method; CO2 emissions; road freight transport; carbon footprint;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ieu:wpaper:37. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: António Brandão Moniz (email available below). General contact details of provider: https://edirc.repec.org/data/ieunlpt.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.