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Gross inland energy consumption inequality in Europe: An empirical approach

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Listed:
  • Marta Pascual-Sáez
  • David Cantarero-Prieto
  • Jose R. Pires-Manso

Abstract

This paper analyses the gross inland energy consumption (EC) in the European Union countries (EU-15) taking in account the period 2005-2014. The standard tools in the measurement of income inequality such as Lorenz curves, Gini index, Generalized Entropy indices and Atkinson ones are applied. The empirical results, obtained through the decomposition of the generalized entropy indices, confirm that there are a small inward shift in the corresponding Lorenz curves, that the inequality distribution of EC across the EU-15 countries has decreased (the Gini coefficient falls from 44,27% in 2005 to 42,16% in 2014) and there are differences among the countries’ clusters: Mediterranean, Continental, Nordic and Anglo-Saxon. This paper makes a good contribution to knowledge: firstly, it is innovative since it puts together energy consumption and inequality among the EU-15 countries, secondly, it uses a very up-to-dated database (Eurostat), and thirdly, it fills a gap in the literature.

Suggested Citation

  • Marta Pascual-Sáez & David Cantarero-Prieto & Jose R. Pires-Manso, 2017. "Gross inland energy consumption inequality in Europe: An empirical approach," Working Papers. Collection B: Regional and sectoral economics 1704, Universidade de Vigo, GEN - Governance and Economics research Network.
    • Handle: RePEc:gov:wpregi:1704
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    File URL: http://infogen.webs.uvigo.es/WPB/WP1704.pdf
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    References listed on IDEAS

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    1. Rosas-Flores, Jorge Alberto & Morillón Gálvez, David & Fernández Zayas, José Luís, 2010. "Inequality in the distribution of expense allocated to the main energy fuels for Mexican households: 1968-2006," Energy Economics, Elsevier, vol. 32(5), pages 960-966, September.
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    4. Duro, Juan Antonio & Padilla, Emilio, 2006. "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors," Energy Economics, Elsevier, vol. 28(2), pages 170-187, March.
    5. Duro, Juan Antonio, 2013. "Weighting vectors and international inequality changes in environmental indicators: An analysis of CO2 per capita emissions and Kaya factors," Energy Economics, Elsevier, vol. 39(C), pages 122-127.
    6. Mussini, Mauro & Grossi, Luigi, 2015. "Decomposing changes in CO2 emission inequality over time: The roles of re-ranking and changes in per capita CO2 emission disparities," Energy Economics, Elsevier, vol. 49(C), pages 274-281.
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    Cited by:

    1. Ling Yang & Kai Zhao & Yankai Zhao & Mengyuan Zhong, 2021. "Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis," Energies, MDPI, vol. 14(21), pages 1-20, November.
    2. Kashour, Mohammad, 2023. "A step towards a just transition in the EU: Conclusions of a regression-based energy inequality decomposition," Energy Policy, Elsevier, vol. 183(C).
    3. Madisen Fuller & Puneet Dwivedi, 2019. "Assessing Changes in Inequality for Millennium Development Goals among Countries: Lessons for the Sustainable Development Goals," Social Sciences, MDPI, vol. 8(7), pages 1-13, July.

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    More about this item

    Keywords

    Energy consumption; inequality measures; Lorenz curve; EU-15.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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