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Decomposition of carbon dioxide emission from highway transportation in Tunisia

Author

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  • Manel Daldoul
  • Ahlem Dakhlaoui

Abstract

We have adopted the Divisia index approach to study the effects of five factors on the total emissions of carbon dioxide (CO2) arising from highway vehicles in Tunisia during the period ranging from 1980 to 2011. CO2 emissions have been decomposed into five factors, namely emission coefficient, vehicle fuel intensity, vehicle ownership, population intensity and economic growth. We show that fast-paced economic growth and vehicle ownership have been the most important factors which have participated in the augmentation of CO2 emissions, while population intensity has contributed significantly to the decrease of emissions.

Suggested Citation

  • Manel Daldoul & Ahlem Dakhlaoui, 2016. "Decomposition of carbon dioxide emission from highway transportation in Tunisia," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(6), pages 432-443.
    • Handle: RePEc:ids:ijgeni:v:39:y:2016:i:6:p:432-443
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    Citations

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    Cited by:

    1. Amira Ben Hammamia & Ahlem Dhakhlaoui, 2023. "Determinants and Prediction of CO2 Emissions in Tunisia: LMDI Decomposition Approach of an Error Correction Model," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 102-108, November.
    2. Manel Daldoul & Ahlem Dakhlaoui, 2018. "Using the LMDI Decomposition Approach to Analyze the Influencing Factors of Carbon Emissions in Tunisian Transportation Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 22-28.
    3. Shahbaz, Muhammad & Abosedra, Salah & Kumar, Mantu & Abbas, Qaisar, 2020. "Environmental Consequence of Transportation Sector for USA: The Validation of Transportation Kuznets Curve," MPRA Paper 102167, University Library of Munich, Germany, revised 30 Jul 2020.

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