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Determinants and Prediction of CO2 Emissions in Tunisia: LMDI Decomposition Approach of an Error Correction Model

Author

Listed:
  • Amira Ben Hammamia

    (Department of Industrial Economics of the Polytechnic School of Tunisia, LEGI, Faculty of Economics and Management of Tunis, FSEGT, University of Tunis El Manar, Tunisia,)

  • Ahlem Dhakhlaoui

    (Department of Industrial Economics of the Polytechnic School of Tunisia, LEGI, Institue of Higher Commercial Studies of Carthage, IHEC, University of Carthage, Tunisia.)

Abstract

In order to be able to meet the commitments with regard to its Nationally Determined Planned Contribution submitted to COP 21, Tunisia is committed to effectively reducing its CO2 emissions. Our study detects the main potential factors responsible for the increase in carbon dioxide emissions in Tunisia using the decomposition method (Logarithmic Mean Divisia Index: LMDI). Then, an analysis of the long-term relationship between CO2 emissions and these main factors is established through an error correction model. The forecast of this cointegration relationship by 2030 shows that Tunisia has significant potential for reducing CO2 emissions, especially through the phenomenon of reduction in energy intensity. However, political intervention beyond energy control is necessary in order to achieve Tunisia's environmental objectives.

Suggested Citation

  • 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.
    • Handle: RePEc:eco:journ2:2023-06-12
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    References listed on IDEAS

    as
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    Cited by:

    1. Adel Ben Youssef & Mounir Dahmani & Mohamed Mabrouki, 2024. "Decoupling carbon emissions and economic growth in Tunisia: pathways to sustainable development," Chapters, in: Mohamed Arouri & Mathieu Gomes (ed.), Handbook on Energy and Economic Growth, chapter 5, pages 103-127, Edward Elgar Publishing.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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