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

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  • 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
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    3. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    4. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    7. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    8. 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.
    9. Richard B. Howarth & Lee Schipper, 1991. "Manufacturing Energy Use in Eight OECD Countries: Trends through 1988," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 15-40.
    10. Amira Ben Hammamia & Ahlem Dakhlaoui & Abdessalem Abbassi, 2014. "Analysis of the Decomposition of Energy Intensity in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 420-426.
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    More about this item

    Keywords

    CO2 Emissions; LMDI; Cointegration Theory;
    All these keywords.

    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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