% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @PHDTHESIS{Priesmann:997206, author = {Priesmann, Jan}, othercontributors = {Praktiknjo, Aaron Jonathan and Balleer, Almut}, title = {{V}erteilungseffekte im {K}ontext der {E}nergiewende : {H}erausforderungen und regulatorische {L}ösungsansätze; 1. {A}uflage}, volume = {134}, school = {RWTH Aachen University}, type = {Dissertation}, address = {Aachen}, publisher = {E.ON Energy Research Center, RWTH Aachen University}, reportid = {RWTH-2024-11142}, isbn = {978-3-948234-48-5}, series = {E.ON Energy Research Center: FCN, Future energy consumer needs and behavior}, pages = {1 Online-Ressource : Illustrationen}, year = {2024}, note = {Druckausgabe: 2024. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University; Dissertation, RWTH Aachen University, 2024}, abstract = {In the transformation of the energy system during the energy transition, the issue of socially compatible design increasingly comes into focus. While the energy transition enjoys broad support as a comprehensive societal project, distribution conflicts are increasingly emerging in practical implementation. This manifests particularly in the different financial burden on various income groups: Low-income households must spend a significantly higher proportion of their available income on energy compared to high-income households, while simultaneously benefiting less from energy policy measures. This discrepancy threatens to further intensify with the costs associated with the energy transition. In light of these developments, the question of distributive justice gains importance. Against this background, the present work investigates the distributional effects resulting from changes in the energy transition and identifies suitable regulatory measures for effective, distributionally just incentive setting, using a newly developed microsimulation. The simulation is based on representative household data and models consumer behavior using income-dependent price and income elasticities for the demand for various energy sources.}, cin = {817310 / 080052}, ddc = {330}, cid = {$I:(DE-82)817310_20210128$ / $I:(DE-82)080052_20160101$}, typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3}, doi = {10.18154/RWTH-2024-11142}, url = {https://publications.rwth-aachen.de/record/997206}, }