Arbeitspapier

Collaboration, decarbonization, and distributional effects

We conduct a hybrid scenario exercise to analyze decarbonization pathways of the European power market and related distributional effects across countries as well as between consumers and producers. Our CIB analysis reveals qualitative scenarios that differ in the level of political (stringency of climate policy) and physical collaboration (transmission grid expansion). We use a CGE model to quantify those scenarios for further usage in a power market model. Consumers generally experience considerably higher electricity prices, whereas producers observe higher rents. Electricity prices are lowest in the least collaborative future. Producer rents in turn are highest in the most collaborative one. Patterns hugely differ by country, making 13 countries to profiteers of the least collaborative future and 12 countries to profiteers of the most collaborative one. Only 3 countries profit from medium collaboration. Countries that profit from the most collaborative future experience substantially higher producer rents. Countries that profit from the least collaborative one in turn experience lowest electricity prices.

Sprache
Englisch

Erschienen in
Series: ifo Working Paper ; No. 368

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Energy: General
Energy: Demand and Supply; Prices
Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
Thema
hybrid scenario analysis
CIB method
CGE modeling
energy system modeling
power market modeling
collaboration
decarbonization
energy transition
distributional effects

Ereignis
Geistige Schöpfung
(wer)
Mier, Mathias
Siala, Kais
Govorukha, Kristina
Mayer, Philip
Ereignis
Veröffentlichung
(wer)
ifo Institute - Leibniz Institute for Economic Research at the University of Munich
(wo)
Munich
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Mier, Mathias
  • Siala, Kais
  • Govorukha, Kristina
  • Mayer, Philip
  • ifo Institute - Leibniz Institute for Economic Research at the University of Munich

Entstanden

  • 2022

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