Collaboration, decarbonization, and distributional effects

被引:4
作者
Mier, Mathias [1 ,4 ]
Siala, Kais [2 ]
Govorukha, Kristina [3 ]
Mayer, Philip [3 ]
机构
[1] Univ Munich, Ifo Inst Econ Res, Munich, Germany
[2] Tech Univ Munich, Chair Renewable & Sustainable Energy Syst, Munich, Germany
[3] Tech Univ & Bergaked Freiberg, Freiberg, Germany
[4] Poschingerstr 5, D-81679 Munich, Germany
关键词
Hybrid scenario analysis; CIB method; Power market modeling; Collaboration; Decarbonization; Distributional effects; Heterogeneity; CLIMATE-CHANGE RESEARCH; BOTTOM-UP; TOP-DOWN; ENERGY; SCENARIO; IMPACT; POLICY; CONSTRUCTION; FRAMEWORK; LINKING;
D O I
10.1016/j.apenergy.2023.121050
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:35
相关论文
共 72 条
[1]   Who benefits from collaborative governance? An empirical study from the energy sector [J].
Ahn, Minwoo ;
Baldwin, Elizabeth .
PUBLIC MANAGEMENT REVIEW, 2024, 26 (01) :89-113
[2]  
Albrecht U., 2014, Policy Department A: Economic And Scientific Policy
[3]  
Alcamo J., 2008, ENV FUTURES, P1
[4]  
Alcamo J, 2009, DEV INTEG ENVIRON, V2, P123
[5]   Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models [J].
Andersen, Kristoffer S. ;
Termansen, Lars B. ;
Gargiulo, Maurizio ;
Gallachoirc, Brian P. O. .
ENERGY, 2019, 169 :277-293
[6]  
[Anonymous], 2016, WORLD EN OUTL
[7]   Market Stability Reserve under exogenous shock: The case of COVID-19 pandemic [J].
Azarova, Valeriya ;
Mier, Mathias .
APPLIED ENERGY, 2021, 283 (283)
[8]   The current state of scenario development: an overview of techniques [J].
Bishop, Peter ;
Hines, Andy ;
Collins, Terry .
FORESIGHT, 2007, 9 (01) :5-+
[9]   Combining bottom-up and top-down [J].
Boehringer, Christoph ;
Rutherford, Thomas F. .
ENERGY ECONOMICS, 2008, 30 (02) :574-596
[10]   Integrated assessment of energy policies: Decomposing top-down and bottom-up [J].
Boehringer, Christoph ;
Rutherford, Thomos F. .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2009, 33 (09) :1648-1661