Inequalities in Energy Transition: The Case of Network Charges in Germany

The German energy transition and the rising share of renewable energies in electricity generation have led to an increase in network costs and to higher network charges in recent years. We use socioeconomic data in order to investigate distributional effects within the period 2010-2016, and employ t...

Authors: Schlesewsky, Lisa
Winter, Simon
Document types:Article
Media types:Text
Publication date:2018
Date of publication on miami:23.05.2019
Modification date:23.05.2019
Edition statement:[Electronic ed.]
Subjects:network charges; renewable energies; economic inequality
DDC Subject:330: Wirtschaft
License:CC BY 4.0
Language:English
Notes:International Journal of Energy Economics and Policy (IJEEP) 8 (2018) 6, 102-113
Funding:Finanziert durch den Open-Access-Publikationsfonds 2018 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Format:PDF document
URN:urn:nbn:de:hbz:6-14199489409
Permalink:http://nbn-resolving.de/urn:nbn:de:hbz:6-14199489409
Other Identifiers:DOI: 10.32479/ijeep.6917
Digital documents:artikel_winter_2018.pdf

The German energy transition and the rising share of renewable energies in electricity generation have led to an increase in network costs and to higher network charges in recent years. We use socioeconomic data in order to investigate distributional effects within the period 2010-2016, and employ three different inequality metrics – the Gini coefficient, the Theil index and the Atkinson index – all of which unambiguously indicate regressive effects of network charges. Most recently, the three metrics show an increase of economic inequality of at least 0.67 % when accounting for network charges. This finding is due to 1. the relative inferiority of electricity, 2. the regressive impact of a fixed component of network charges, 3. considerable regional disparities, and 4. the higher prevalence of prosumers within high-income households.