IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v71y2014icp118-129.html
   My bibliography  Save this article

Energy consumption and economic growth in the light of meeting the targets of energy policy in the EU: The bootstrap panel Granger causality approach

Author

Listed:
  • Śmiech, Sławomir
  • Papież, Monika

Abstract

The aim of the paper is to assess linkages between energy consumption and economic growth in the light of compliance with the EU energy policy targets stated in the climate and energy package for 2020 in the European Union member states in the period 1993–2011. The study is divided into two main stages. During the first one, using cluster analysis methods, four groups of countries which met three energy policy targets stated in the package at similar levels were identified. During the second stage, the bootstrap Granger panel causality approach proposed by Kònya (2006) was used to verify the hypothesis of causality between energy consumption and economic growth in the countries from four groups created in the previous step. The global financial crisis was also taken into account. The results obtained reveal that the level of compliance with energy policy targets influences linkages between energy consumption and economic growth. The results indicate causal relations in the group of countries with the greatest reduction of greenhouse gas emissions, the highest reduction of energy intensity and the highest share of renewable energy consumption in total energy consumption. In the remaining groups the results mostly confirm the neutrality hypothesis.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:71:y:2014:i:c:p:118-129
    DOI: 10.1016/j.enpol.2014.04.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421514002134
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2014.04.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wilson, Sven E. & Butler, Daniel M., 2007. "A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications," Political Analysis, Cambridge University Press, vol. 15(2), pages 101-123, April.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Dipa Adhikari & Yanying Chen, 2013. "Energy Consumption and Economic Growth: A Panel Cointegration Analysis for Developing Countries," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 68-80, May.
    4. Fuinhas, José Alberto & Marques, António Cardoso, 2012. "Energy consumption and economic growth nexus in Portugal, Italy, Greece, Spain and Turkey: An ARDL bounds test approach (1965–2009)," Energy Economics, Elsevier, vol. 34(2), pages 511-517.
    5. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191.
    6. Rilstone, Paul & Veall, Michael, 1996. "Using Bootstrapped Confidence Intervals for Improved Inferences with Seemingly Unrelated Regression Equations," Econometric Theory, Cambridge University Press, vol. 12(3), pages 569-580, August.
    7. Lee, Chien-Chiang, 2006. "The causality relationship between energy consumption and GDP in G-11 countries revisited," Energy Policy, Elsevier, vol. 34(9), pages 1086-1093, June.
    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. Salim, Ruhul A. & Hassan, Kamrul & Shafiei, Sahar, 2014. "Renewable and non-renewable energy consumption and economic activities: Further evidence from OECD countries," Energy Economics, Elsevier, vol. 44(C), pages 350-360.
    2. Menegaki, Angeliki N. & Marques, António Cardoso & Fuinhas, José Alberto, 2017. "Redefining the energy-growth nexus with an index for sustainable economic welfare in Europe," Energy, Elsevier, vol. 141(C), pages 1254-1268.
    3. Mahalingam, Brinda & Orman, Wafa Hakim, 2018. "GDP and energy consumption: A panel analysis of the US," Applied Energy, Elsevier, vol. 213(C), pages 208-218.
    4. Wolde-Rufael, Yemane, 2014. "Electricity consumption and economic growth in transition countries: A revisit using bootstrap panel Granger causality analysis," Energy Economics, Elsevier, vol. 44(C), pages 325-330.
    5. Salahuddin, Mohammad & Gow, Jeff, 2014. "Economic growth, energy consumption and CO2 emissions in Gulf Cooperation Council countries," Energy, Elsevier, vol. 73(C), pages 44-58.
    6. Tugcu, Can Tansel & Tiwari, Aviral Kumar, 2016. "Does renewable and/or non-renewable energy consumption matter for total factor productivity (TFP) growth? Evidence from the BRICS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 610-616.
    7. Ranjan Aneja & Umer J. Banday & Tanzeem Hasnat & Mustafa Koçoglu, 2017. "Renewable and Non-renewable Energy Consumption and Economic Growth: Empirical Evidence from Panel Error Correction Model," Jindal Journal of Business Research, , vol. 6(1), pages 76-85, June.
    8. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan," Energy, Elsevier, vol. 219(C).
    9. Mesbah Fathy SHARAF, 2017. "Energy consumption and economic growth in Egypt: A disaggregated causality analysis with structural breaks," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 59-76.
    10. Ming Zhong & Tsangyao Chang & D. P. Tang & Yemane Wolde-Rufael, 2015. "The causal nexus between military spending and unemployment in the G7: a bootstrap panel causality test," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(6), pages 609-622, December.
    11. Destek, Mehmet Akif, 2016. "Natural gas consumption and economic growth: Panel evidence from OECD countries," Energy, Elsevier, vol. 114(C), pages 1007-1015.
    12. Mehmet Akif DESTEK, 2018. "Dimensions of globalization and income inequality in transition economies: taking into account cross-sectional dependence," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 5-25, December.
    13. Erich Gundlach & Martin Paldam, 2016. "Socioeconomic transitions as common dynamic processes," Economics Working Papers 2016-06, Department of Economics and Business Economics, Aarhus University.
    14. Wanat, Stanisław & Papież, Monika & Śmiech, Sławomir, 2016. "Insurance Market Development and Economic Growth in Transition Countries: Some new evidence based on bootstrap panel Granger causality test," MPRA Paper 69051, University Library of Munich, Germany.
    15. Kyoung-Min Lim & Seul-Ye Lim & Seung-Hoon Yoo, 2014. "Oil Consumption, CO 2 Emission, and Economic Growth: Evidence from the Philippines," Sustainability, MDPI, vol. 6(2), pages 1-13, February.
    16. Mohammad Salahuddin & Jeff Gow, 2015. "The relationship between economic growth and remittances in the presence of cross-sectional dependence," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(1), pages 207-221, January-M.
    17. Cerdeira Bento, João Paulo, 2014. "The determinants of CO2 emissions: empirical evidence from Italy," MPRA Paper 59166, University Library of Munich, Germany.
    18. Monika Papiez & Slawomir Smiech, 2013. "Economic Growth and Energy Consumption in Post-Communist Countries: a Bootstrap Panel Granger Causality Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 51-68.
    19. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    20. Li, Yufan & Teng, Weichen & Tsai, Limin & Lin, Tom M.Y., 2022. "Does English proficiency support the economic development of non-English-speaking countries? The case of Asia," International Journal of Educational Development, Elsevier, vol. 92(C).

    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:eee:enepol:v:71:y:2014:i:c:p:118-129. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.