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Energy paths in the European Union: A model-based clustering approach

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  • Zsuzsanna Csereklyei

    (Crawford School of Public Policy, The Australian National University)

  • Paul W. Thurner
  • Johannes Langer
  • Helmut Küchenhoff

Abstract

This paper examines typical “energy paths”, i.e. the intertemporal development of the energy mixes of the member states of the European Union over 1971-2010. We apply model based clustering to detect major energy profiles and their compositional dynamics. The seven identified clusters show typical combinations of energy carriers dominating the primary energy consumption of a country. We find that countries tend to take a path towards higher quality energy mixes over time, however path inertia and dependencies arise from both infrastructure and resource endowments. Higher energy quality profiles are usually associated with higher national income and energy use per capita, supporting some evidence on the existence of a national-level energy ladder. We also find convergence in energy intensity over time, and a relationship between own resources and import dependency.

Suggested Citation

  • Zsuzsanna Csereklyei & Paul W. Thurner & Johannes Langer & Helmut Küchenhoff, 2017. "Energy paths in the European Union: A model-based clustering approach," CCEP Working Papers 1701, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:ccepwp:1701
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    References listed on IDEAS

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    1. Burke, Paul J., 2010. "Income, resources, and electricity mix," Energy Economics, Elsevier, vol. 32(3), pages 616-626, May.
    2. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    3. Zsuzsanna Csereklyei, M. d. Mar Rubio-Varas, and David I. Stern, 2016. "Energy and Economic Growth: The Stylized Facts," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    4. Stern, David I., 2010. "Energy quality," Ecological Economics, Elsevier, vol. 69(7), pages 1471-1478, May.
    5. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    6. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    7. Rubio, M.d.Mar & Folchi, Mauricio, 2012. "Will small energy consumers be faster in transition? Evidence from the early shift from coal to oil in Latin America," Energy Policy, Elsevier, vol. 50(C), pages 50-61.
    8. Bousquet, Alain & Ivaldi, Marc, 1998. "An individual choice model of energy mix," Resource and Energy Economics, Elsevier, vol. 20(3), pages 263-286, September.
    9. Schaffer, Lena Maria & Bernauer, Thomas, 2014. "Explaining government choices for promoting renewable energy," Energy Policy, Elsevier, vol. 68(C), pages 15-27.
    10. Burke, Paul J., 2013. "The national-level energy ladder and its carbon implications," Environment and Development Economics, Cambridge University Press, vol. 18(4), pages 484-503, August.
    11. Burke, Paul J. & Csereklyei, Zsuzsanna, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," Energy Economics, Elsevier, vol. 58(C), pages 199-210.
    12. Marrero, Gustavo A., 2010. "Greenhouse gases emissions, growth and the energy mix in Europe," Energy Economics, Elsevier, vol. 32(6), pages 1356-1363, November.
    13. Duić, Neven & Guzović, Zvonimir & Kafarov, Vyatcheslav & Klemeš, Jiří Jaromír & Mathiessen, Brian vad & Yan, Jinyue, 2013. "Sustainable development of energy, water and environment systems," Applied Energy, Elsevier, vol. 101(C), pages 3-5.
    14. Cherp, Aleh & Jewell, Jessica, 2014. "The concept of energy security: Beyond the four As," Energy Policy, Elsevier, vol. 75(C), pages 415-421.
    15. Gales, Ben & Kander, Astrid & Malanima, Paolo & Rubio, Mar, 2007. "North versus South: Energy transition and energy intensity in Europe over 200 years," European Review of Economic History, Cambridge University Press, vol. 11(2), pages 219-253, August.
    16. Jessica Jewell, 2011. "The IEA Model of Short-Term Energy Security (MOSES): Primary Energy Sources and Secondary Fuels," IEA Energy Papers 2011/17, OECD Publishing.
    17. Félix Iglesias & Wolfgang Kastner, 2013. "Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns," Energies, MDPI, vol. 6(2), pages 1-19, January.
    18. Liu, Da & Wang, Jilong & Wang, Hui, 2015. "Short-term wind speed forecasting based on spectral clustering and optimised echo state networks," Renewable Energy, Elsevier, vol. 78(C), pages 599-608.
    19. Burke, Paul J. & Dundas, Guy, 2015. "Female Labor Force Participation and Household Dependence on Biomass Energy: Evidence from National Longitudinal Data," World Development, Elsevier, vol. 67(C), pages 424-437.
    20. Gross, Robert & Blyth, William & Heptonstall, Philip, 2010. "Risks, revenues and investment in electricity generation: Why policy needs to look beyond costs," Energy Economics, Elsevier, vol. 32(4), pages 796-804, July.
    21. Pierson, Paul, 2000. "Increasing Returns, Path Dependence, and the Study of Politics," American Political Science Review, Cambridge University Press, vol. 94(2), pages 251-267, June.
    22. Csereklyei, Zsuzsanna & Stern, David I., 2015. "Global energy use: Decoupling or convergence?," Energy Economics, Elsevier, vol. 51(C), pages 633-641.
    23. Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
    24. Pan Duan & Kaigui Xie & Tingting Guo & Xiaogang Huang, 2011. "Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques," Energies, MDPI, vol. 4(1), pages 1-12, January.
    25. Tahvonen, Olli & Salo, Seppo, 2001. "Economic growth and transitions between renewable and nonrenewable energy resources," European Economic Review, Elsevier, vol. 45(8), pages 1379-1398, August.
    26. Heltberg, Rasmus, 2004. "Fuel switching: evidence from eight developing countries," Energy Economics, Elsevier, vol. 26(5), pages 869-887, September.
    27. Hsu, David, 2015. "Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data," Applied Energy, Elsevier, vol. 160(C), pages 153-163.
    28. Raftery, Adrian E. & Dean, Nema, 2006. "Variable Selection for Model-Based Clustering," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 168-178, March.
    29. Ruth A. Judson & Richard Schmalensee & Thomas M. Stoker, 1999. "Economic Development and the Structure of the Demand for Commercial Energy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 29-57.
    30. Ahlquist, John S. & Breunig, Christian, 2012. "Model-based Clustering and Typologies in the Social Sciences," Political Analysis, Cambridge University Press, vol. 20(1), pages 92-112, January.
    31. Chris Fraley & Adrian E. Raftery, 2007. "Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 24(2), pages 155-181, September.
    32. Fouquet, Roger, 2012. "The demand for environmental quality in driving transitions to low-polluting energy sources," Energy Policy, Elsevier, vol. 50(C), pages 138-149.
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    8. Malka, Lorenc & Bidaj, Flamur & Kuriqi, Alban & Jaku, Aldona & Roçi, Rexhina & Gebremedhin, Alemayehu, 2023. "Energy system analysis with a focus on future energy demand projections: The case of Norway," Energy, Elsevier, vol. 272(C).
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    More about this item

    Keywords

    European Union; energy paths; path dependencies; model based clustering;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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