IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2012-02-2.html
   My bibliography  Save this article

Energy Consumption-Economic Growth Nexus: Does the Level of Aggregation Matter?

Author

Listed:
  • Mehdi Abid

    (University of Sousse, Tunisia)

  • Maamar Sebri

    (University of Sousse, Tunisia)

Abstract

This study investigates the causal relationship between energy consumption and economic performance for the total economy as well as for industry, transport, and residential sectors for Tunisia during the period 1980-2007. The application of Vector error correction model (VECM) for non-stationary and cointegrated series suggests that causality directions at aggregated and disaggregated levels are mixed. However, the findings have important policy implications. While at the level of the total economy, energy plays an important role in development of Tunisian economy, it seems not to have an impact on economic performance at sectoral level. We conclude that results appear to be dependent on the level of aggregation and therefore policy advices should be given with caution.

Suggested Citation

  • Mehdi Abid & Maamar Sebri, 2012. "Energy Consumption-Economic Growth Nexus: Does the Level of Aggregation Matter?," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 55-62.
    • Handle: RePEc:eco:journ2:2012-02-2
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijeep/article/download/118/100
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijeep/article/view/118/100
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Belke, Ansgar & Dobnik, Frauke & Dreger, Christian, 2011. "Energy consumption and economic growth: New insights into the cointegration relationship," Energy Economics, Elsevier, vol. 33(5), pages 782-789, September.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Khalid Mushtaq & Faisal Abbas & Abedullah & Abdul Ghafoor, 2007. "Energy Use for Economic Growth: Cointegration and Causality Analysis from the Agriculture Sector of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 1065-1073.
    4. Ozturk, Ilhan & Acaravci, Ali, 2010. "The causal relationship between energy consumption and GDP in Albania, Bulgaria, Hungary and Romania: Evidence from ARDL bound testing approach," Applied Energy, Elsevier, vol. 87(6), pages 1938-1943, June.
    5. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    6. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    7. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    8. Jobert, Thomas & Karanfil, Fatih, 2007. "Sectoral energy consumption by source and economic growth in Turkey," Energy Policy, Elsevier, vol. 35(11), pages 5447-5456, November.
    9. Phung Thanh Binh, 2011. "Energy Consumption and Economic Growth in Vietnam: Threshold Cointegration and Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 1(1), pages 1-17, June.
    10. Bowden, Nicholas & Payne, James E., 2009. "The causal relationship between U.S. energy consumption and real output: A disaggregated analysis," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 180-188.
    11. Gross, Christian, 2012. "Explaining the (non-) causality between energy and economic growth in the U.S.—A multivariate sectoral analysis," Energy Economics, Elsevier, vol. 34(2), pages 489-499.
    12. Belloumi, Mounir, 2009. "Energy consumption and GDP in Tunisia: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 37(7), pages 2745-2753, July.
    13. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Zachariadis, Theodoros, 2007. "Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries," Energy Economics, Elsevier, vol. 29(6), pages 1233-1253, November.
    16. Tsani, Stela Z., 2010. "Energy consumption and economic growth: A causality analysis for Greece," Energy Economics, Elsevier, vol. 32(3), pages 582-590, May.
    Full references (including those not matched with items 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. Sebri, Maamar & Abid, Mehdi, 2012. "Energy use for economic growth: A trivariate analysis from Tunisian agriculture sector," Energy Policy, Elsevier, vol. 48(C), pages 711-716.
    2. Farzana Sharmin & Mohammed Robayet Khan & Mohammed Robayet Khan, 2016. "A Causal Relationship between Energy Consumption, Energy Prices and Economic Growth in Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 477-494.
    3. Mehdi Abid & Rafaa Mraihi, 2015. "Energy Consumption and Industrial Production: Evidence from Tunisia at Both Aggregated and Disaggregated Levels," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(4), pages 1123-1137, December.
    4. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    5. Cosimo Magazzino, 2015. "Energy consumption and GDP in Italy: cointegration and causality analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(1), pages 137-153, February.
    6. Tang, Chor Foon & Shahbaz, Muhammad, 2013. "Sectoral analysis of the causal relationship between electricity consumption and real output in Pakistan," Energy Policy, Elsevier, vol. 60(C), pages 885-891.
    7. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    8. Mehdi Abid, 2016. "Energy Consumption-Informal Economic Growth Analysis: What Policy Options Do We Have?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 207-218, March.
    9. Phung Thanh Binh, 2011. "Energy Consumption and Economic Growth in Vietnam: Threshold Cointegration and Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 1(1), pages 1-17, June.
    10. Śmiech, Sławomir & Papież, Monika, 2014. "Energy consumption and economic growth in the light of meeting the targets of energy policy in the EU: The bootstrap panel Granger causality approach," Energy Policy, Elsevier, vol. 71(C), pages 118-129.
    11. Stephan B. Bruns, Christian Gross and David I. Stern, 2014. "Is There Really Granger Causality Between Energy Use and Output?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    12. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.
    13. Rahman, Md Saifur & Junsheng, Ha & Shahari, Farihana & Aslam, Mohamed & Masud, Muhammad Mehedi & Banna, Hasanul & Liya, Ma, 2015. "Long-run relationship between sectoral productivity and energy consumption in Malaysia: An aggregated and disaggregated viewpoint," Energy, Elsevier, vol. 86(C), pages 436-445.
    14. Vladim r Hajko, 2015. "Energy-Gross Domestic Product Nexus: Disaggregated Analysis for the Czech Republic in the Post-Transformation Era," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 869-888.
    15. Dergiades, Theologos & Martinopoulos, Georgios & Tsoulfidis, Lefteris, 2013. "Energy consumption and economic growth: Parametric and non-parametric causality testing for the case of Greece," Energy Economics, Elsevier, vol. 36(C), pages 686-697.
    16. Shahbaz, Muhammad & Abosedra, Salah & Sbia, Rashid, 2013. "Energy Consumption, Financial Development and Growth: Evidence from Cointegration with unknown Structural breaks in Lebanon," MPRA Paper 46580, University Library of Munich, Germany.
    17. Magazzino, Cosimo, 2011. "Energy consumption and aggregate income in Italy: cointegration and causality analysis," MPRA Paper 28494, University Library of Munich, Germany.
    18. Santos, Carlos Filipe & Fuinhas, José Alberto & Marques, António Cardoso, 2014. "O nexus energia-crescimento e o nível da auto-suficiência na produção de petróleo: análise com macro painel [Energy-growth nexus and oil self-sufficiency: macro panel analysis]," MPRA Paper 57008, University Library of Munich, Germany.
    19. Abdul Rashid & Ozge Kandemir Kocaaslan, 2013. "Does Energy Consumption Volatility Affect Real GDP Volatility? An Empirical Analysis for the UK," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 384-394.
    20. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.

    More about this item

    Keywords

    Energy sector; Economic growth; Granger causality; Vector Error Correction Models; Tunisia.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:eco:journ2:2012-02-2. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.