TY  - JOUR
AB  - 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.
AU  - Schlesewsky, Lisa
AU  - Winter, Simon
DA  - 2018-11-02
DO  - 10.32479/ijeep.6917
KW  - network charges
KW  - renewable energies
KW  - economic inequality
LA  - eng
N1  - International Journal of Energy Economics and Policy (IJEEP) 8 (2018) 6, 102-113
N1  - Finanziert durch den Open-Access-Publikationsfonds 2018 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
PY  - 2018-11-02
TI  - Inequalities in Energy Transition: The Case of Network Charges in Germany
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-14199489409
Y2  - 2024-11-22T09:05:03
ER  -