IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-14-00028.html
   My bibliography  Save this article

An Empirical Analysis of Energy Demand in Tunisia

Author

Listed:
  • Besma Talbi

    (LEGI, Ecole Polytechnique, Tunisia)

  • Duc Khuong Nguyen

    (IPAG Lab, IPAG Business School, France)

Abstract

This article assesses the impact of real energy prices on the consumption of different energy sources in Tunisia. We estimate the short-run and long-run energy demand elasticities over the period 1980-2004, where energy demand is specified by a simple partial adjustment model. Our results show that energy demand in Tunisia is generally sensitive to the income level and real prices of energy products. Moreover, the price elasticity and income elasticity differ across energy sources. These findings imply that energy price increases will not only affect energy demand, but also give rise to substitution effects between different forms of energy.

Suggested Citation

  • Besma Talbi & Duc Khuong Nguyen, 2014. "An Empirical Analysis of Energy Demand in Tunisia," Economics Bulletin, AccessEcon, vol. 34(1), pages 452-458.
    • Handle: RePEc:ebl:ecbull:eb-14-00028
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I1-P43.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul, Anthony & Myers, Erica & Palmer, Karen, 2009. "A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector," RFF Working Paper Series dp-08-50, Resources for the Future.
    2. Broadstock, David C. & Hunt, Lester C., 2010. "Quantifying the impact of exogenous non-economic factors on UK transport oil demand," Energy Policy, Elsevier, vol. 38(3), pages 1559-1565, March.
    3. Amarawickrama, Himanshu A. & Hunt, Lester C., 2008. "Electricity demand for Sri Lanka: A time series analysis," Energy, Elsevier, vol. 33(5), pages 724-739.
    4. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ghulam Yahya Khan & Syeda Nazish Rashid & Salik Mehboob, 2018. "Empirical Analysis of Household Energy Demand Using Almost Ideal Demand System: A Case Study of District Muzaffarabad, Azad Kashmir, Pakistan," Energy Economics Letters, Asian Economic and Social Society, vol. 5(1), pages 12-22, March.
    2. repec:ipg:wpaper:2014-569 is not listed on IDEAS
    3. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    4. repec:ipg:wpaper:2014-518 is not listed on IDEAS
    5. repec:ipg:wpaper:2014-535 is not listed on IDEAS
    6. Sajid Mehmood & Serguey A. Maximov & Hannah Chalmers & Daniel Friedrich, 2020. "Energetic, Economic and Environmental (3E) Assessment and Design of Solar-Powered HVAC Systems in Pakistan," Energies, MDPI, vol. 13(17), pages 1-25, August.
    7. repec:ipg:wpaper:2014-547 is not listed on IDEAS
    8. repec:ipg:wpaper:2014-502 is not listed on IDEAS
    9. Klug, Thomas W. & Beyene, Abebe D. & Meles, Tensay H. & Toman, Michael A. & Hassen, Sied & Hou, Michael & Klooss, Benjamin & Mekonnen, Alemu & Jeuland, Marc, 2022. "A review of impacts of electricity tariff reform in Africa," Energy Policy, Elsevier, vol. 170(C).
    10. repec:ipg:wpaper:2014-523 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ipg:wpaper:2014-495 is not listed on IDEAS
    2. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    3. Tehreem Fatima & Enjun Xia & Muhammad Ahad, 2019. "Oil demand forecasting for China: a fresh evidence from structural time series analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1205-1224, June.
    4. Giuliodori, David & Rodriguez, Alejandro, 2015. "Analysis of the stainless steel market in the EU, China and US using co-integration and VECM," Resources Policy, Elsevier, vol. 44(C), pages 12-24.
    5. A. Talha Yalta, 2013. "The Dynamics of Road Energy Demand and Illegal Fuel Activity in Turkey: A Rolling Window Analysis," Working Papers 1304, TOBB University of Economics and Technology, Department of Economics, revised Jul 2013.
    6. Tajudeen, Ibrahim A. & Wossink, Ada & Banerjee, Prasenjit, 2018. "How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries," Energy Economics, Elsevier, vol. 72(C), pages 200-221.
    7. Aliyu Barde Abdullahi, 2014. "Modeling Petroleum Product Demand in Nigeria Using Structural Time Series Model (STSM) Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 427-441.
    8. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    9. Boqiang Lin & Zihan Zhang & Fei Ge, 2017. "Energy Conservation in China’s Cement Industry," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    10. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    11. Tajudeen, Ibrahim A., 2015. "Examining the role of energy efficiency and non-economic factors in energy demand and CO2 emissions in Nigeria: Policy implications," Energy Policy, Elsevier, vol. 86(C), pages 338-350.
    12. Türkekul, Berna & UnakItan, Gökhan, 2011. "A co-integration analysis of the price and income elasticities of energy demand in Turkish agriculture," Energy Policy, Elsevier, vol. 39(5), pages 2416-2423, May.
    13. Yalta, A. Talha & Yalta, A. Yasemin, 2016. "The dynamics of fuel demand and illegal fuel activity in Turkey," Energy Economics, Elsevier, vol. 54(C), pages 144-158.
    14. Kakali Kanjilal & Sajal Ghosh, 2018. "Revisiting income and price elasticity of gasoline demand in India: new evidence from cointegration tests," Empirical Economics, Springer, vol. 55(4), pages 1869-1888, December.
    15. Fei, Rilong & Lin, Boqiang, 2017. "Estimates of energy demand and energy saving potential in China's agricultural sector," Energy, Elsevier, vol. 135(C), pages 865-875.
    16. Olufunmilayo S. Tajudeen & Ibrahim A. Tajudeen & Risikat O. Dauda, 2018. "Quantifying Impacts of Macroeconomic and Non‐economic Factors on Public Health Expenditure: A Structural Time Series Model," African Development Review, African Development Bank, vol. 30(2), pages 200-218, June.
    17. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    18. Lin, Boqiang & Long, Houyin, 2014. "Promoting carbon emissions reduction in China's chemical process industry," Energy, Elsevier, vol. 77(C), pages 822-830.
    19. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
    20. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    21. Hindriks, Jean & Serse, Valerio, 2022. "The incidence of VAT reforms in electricity markets: Evidence from Belgium," International Journal of Industrial Organization, Elsevier, vol. 80(C).

    More about this item

    Keywords

    Elasticity; energy demand; partial adjustment model;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

    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:ebl:ecbull:eb-14-00028. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: John P. Conley (email available below). General contact details of provider: .

    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.