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Collaboration, decarbonization, and distributional effects

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  • Mier, Mathias
  • Siala, Kais
  • Govorukha, Kristina
  • Mayer, Philip

Abstract

We use a CIB analysis and a CGE model to develop decarbonization scenarios for the European power market. Our CIB analysis reveals qualitative scenarios that differ in the level of political (stringency of climate policy) and physical collaboration (transmission grid expansion). The CGE model quantifies those scenarios for further usage in the power market model EUREGEN to analyze related distributional effects across heterogeneous countries as well as between consumers and producers. EUREGEN predicts that consumers experience considerably higher electricity prices in the future in all scenarios, 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.

Suggested Citation

  • Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).
  • Handle: RePEc:eee:appene:v:341:y:2023:i:c:s0306261923004142
    DOI: 10.1016/j.apenergy.2023.121050
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    Cited by:

    1. Mathias Mier & Valeriya Azarova, 2022. "Investment Cost Specifications Revisited," ifo Working Paper Series 376, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Mathias Mier & Jacqueline Adelowo & Christoph Weissbart, 2022. "Complementary Taxation of Carbon Emissions and Local Air Pollution," ifo Working Paper Series 375, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Mathias Mier & Jacqueline Adelowo & Valeriya Azarova, 2022. "Endogenous Technological Change in Power Markets," ifo Working Paper Series 373, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Mathias Mier, 2023. "European Electricity Prices in Times of Multiple Crises," ifo Working Paper Series 394, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Mathias Mier & Jacqueline Adelowo, 2022. "Taxation of Carbon Emissions with Social and Private Discount Rates," ifo Working Paper Series 374, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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    More about this item

    Keywords

    Hybrid scenario analysis; CIB method; Power market modeling; Collaboration; Decarbonization; Distributional effects; Heterogeneity;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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