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Sustainable development, justice and the Atkinson index: Measuring the distributional effects of the German energy transition

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  • Schlör, Holger
  • Fischer, Wolfgang
  • Hake, Jürgen-Friedrich

Abstract

The transformation of the energy sector in Germany is associated with a considerable increase in prices, especially for electricity, which places different burdens on households depending on income. This conflicts with the idea of a fair distribution of burdens arising from the transformation of the energy sector and might endanger the acceptance of this transformation. For methodological reasons, we do not apply the GINI index in our analysis, instead we use the Atkinson index for the first time in the energy sector to quantitatively measure the distribution of energy consumption. Furthermore, we place the epsilon parameter of this index in the context of the discussion on sustainable development and justice. The epsilon parameter gives society the opportunity to make explicit what it implicitly considers to be “just” and this concept can, if necessary, be corrected by a different choice of epsilon. If society chooses a higher epsilon value because it makes higher demands on a “just” distribution of burdens and costs then the index can identify a gap between the normative goal and societal reality. This permits the authorities to implement economic policy measures to close this gap. From our point of view, the Atkinson index is an instrument that can be used to operationalize Rawls’ theory of justice against the background of the social theory of sustainable development.

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  • Schlör, Holger & Fischer, Wolfgang & Hake, Jürgen-Friedrich, 2013. "Sustainable development, justice and the Atkinson index: Measuring the distributional effects of the German energy transition," Applied Energy, Elsevier, vol. 112(C), pages 1493-1499.
  • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:1493-1499
    DOI: 10.1016/j.apenergy.2013.04.020
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    3. Dr. Christian Lutz & Dr. Barbara Breitschopf, 2016. "Systematisierung der gesamtwirtschaftlichen Effekte und Verteilungswirkungen der Energiewende," GWS Research Report Series 16-1, GWS - Institute of Economic Structures Research.
    4. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    5. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    6. Shih, Yi-Hsuan & Tseng, Chao-Heng, 2014. "Cost-benefit analysis of sustainable energy development using life-cycle co-benefits assessment and the system dynamics approach," Applied Energy, Elsevier, vol. 119(C), pages 57-66.
    7. Chapman, Andrew J. & McLellan, Benjamin C. & Tezuka, Tetsuo, 2018. "Prioritizing mitigation efforts considering co-benefits, equity and energy justice: Fossil fuel to renewable energy transition pathways," Applied Energy, Elsevier, vol. 219(C), pages 187-198.
    8. McCauley, Darren & Brown, Antje & Rehner, Robert & Heffron, Raphael & van de Graaff, Shashi, 2018. "Energy justice and policy change: An historical political analysis of the German nuclear phase-out," Applied Energy, Elsevier, vol. 228(C), pages 317-323.
    9. Zimmermann, Michel & Pye, Steve, 2018. "Inequality in energy and climate policies: Assessing distributional impact consideration in UK policy appraisal," Energy Policy, Elsevier, vol. 123(C), pages 594-601.
    10. Olaoluwa Sunday Ogunleye & Frans Coenen & Thomas Hoppe, 2022. "Stakeholder Perspectives on Community Energy Contributing to the Use of Renewable Energy Sources and Improving Energy Security in Nigeria," Energies, MDPI, vol. 15(19), pages 1-25, October.
    11. Oberst, Christian & Madlener, Reinhard, 2015. "Prosumer Preferences Regarding the Adoption of Micro‐Generation Technologies: Empirical Evidence for German Homeowners," FCN Working Papers 22/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    12. Sun, Chuanwang & Zhang, Yifan & Peng, Shuijun & Zhang, Wencheng, 2015. "The inequalities of public utility products in China: From the perspective of the Atkinson index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 751-760.
    13. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.

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