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

Author

Listed:
  • 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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    File URL: https://hdl.handle.net/1885/733750151
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    Cited by:

    1. Maciej Dzikuć & Arkadiusz Piwowar & Szymon Szufa & Janusz Adamczyk & Maria Dzikuć, 2021. "Potential and Scenarios of Variants of Thermo-Modernization of Single-Family Houses: An Example of the Lubuskie Voivodeship," Energies, MDPI, vol. 14(1), pages 1-11, January.
    2. Rohan Best & Paul J. Burke, 2020. "Energy mix persistence and the effect of carbon pricing," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 555-574, July.
    3. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    4. Li, Pei-Hao & Pye, Steve & Keppo, Ilkka, 2020. "Using clustering algorithms to characterise uncertain long-term decarbonisation pathways," Applied Energy, Elsevier, vol. 268(C).
    5. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    6. Sarolta Somosi & Eszter Megyeri, 2022. "A Moving Target: Changing Priorities in the Energy Policy of the European Union," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 542-552, July.
    7. 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).
    8. Mączka, Krzysztof & Bodnar-Potopnyk, Olena & Matczak, Piotr & Takacs, Viktoria, 2025. "Are Poland and Hungary pushed toward or pulled by energy transition? A narrative analysis of experts' views," Energy Policy, Elsevier, vol. 200(C).
    9. Li, Pei-Hao & Zamanipour, Behzad & Keppo, Ilkka, 2024. "Revealing technological entanglements in uncertain decarbonisation pathways using bayesian networks," Energy Policy, Elsevier, vol. 193(C).
    10. Venkataraman, Mahesh & Csereklyei, Zsuzsanna & Aisbett, Emma & Rahbari, Alireza & Jotzo, Frank & Lord, Michael & Pye, John, 2022. "Zero-carbon steel production: The opportunities and role for Australia," Energy Policy, Elsevier, vol. 163(C).
    11. Csereklyei, Zsuzsanna & Anantharama, Nandini & Kallies, Anne, 2021. "Electricity market transitions in Australia: Evidence using model-based clustering," Energy Economics, Elsevier, vol. 103(C).
    12. Triguero-Ruiz, Francisco & Avila-Cano, Antonio & Trujillo Aranda, Francisco, 2023. "Measuring the diversification of energy sources: The energy mix," Renewable Energy, Elsevier, vol. 216(C).
    13. Antonio Rodríguez Andrés & Abraham Otero & Voxi Heinrich Amavilah, 2022. "Knowledge economy classification in African countries: A model-based clustering approach," Information Technology for Development, Taylor & Francis Journals, vol. 28(2), pages 372-396, April.
    14. Rinne, Sonja, 2018. "Radioinactive: Are nuclear power plant outages in France contagious to the German electricity price?," CIW Discussion Papers 3/2018, University of Münster, Center for Interdisciplinary Economics (CIW).
    15. Mario González & Andressa Santiso & Dylan Jones & Negar Akbari & Rafael Vasconcelos & David Melo, 2024. "Offshore Wind Power Growth and Industrial Development in Emerging Markets," Energies, MDPI, vol. 17(18), pages 1-22, September.
    16. Kueppers, Martin & Paredes Pineda, Stephany Nicole & Metzger, Michael & Huber, Matthias & Paulus, Simon & Heger, Hans Joerg & Niessen, Stefan, 2021. "Decarbonization pathways of worldwide energy systems – Definition and modeling of archetypes," Applied Energy, Elsevier, vol. 285(C).
    17. Xue, Shaofang & Liu, Bing-Yue & Fan, Ying & Wang, Huiwen, 2025. "Compositional regression analysis of the energy mix and its determinants," Energy, Elsevier, vol. 324(C).
    18. Liu, Yang & Xie, Xiaoqing & Wang, Mei, 2023. "Energy structure and carbon emission: Analysis against the background of the current energy crisis in the EU," Energy, Elsevier, vol. 280(C).
    19. Stancu Stelian & Pernici Andreea, 2023. "Assessing the Evolution of the Energy Mix Worldwide, with a Focus on the Renewable Energy Transition," Management & Marketing, Sciendo, vol. 18(s1), pages 384-397, December.

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    Keywords

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    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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