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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”]

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  • 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
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    File URL: http://run.unl.pt/handle/10362/6615
    File Function: First version, 2011
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    Keywords

    Indicators; forecasting; Delphi method; CO2 emissions; road freight transport; carbon footprint;

    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

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