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Implications of high energy prices for energy system and emissions--The response from an energy model for Germany

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  • Martinsen, Dag
  • Krey, Volker
  • Markewitz, Peter

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  • Martinsen, Dag & Krey, Volker & Markewitz, Peter, 2007. "Implications of high energy prices for energy system and emissions--The response from an energy model for Germany," Energy Policy, Elsevier, vol. 35(9), pages 4504-4515, September.
  • Handle: RePEc:eee:enepol:v:35:y:2007:i:9:p:4504-4515
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    References listed on IDEAS

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    1. Messner, S. & Golodnikov, A. & Gritsevskii, A., 1996. "A stochastic version of the dynamic linear programming model MESSAGE III," Energy, Elsevier, vol. 21(9), pages 775-784.
    2. Springer, Katrin, 1998. "The DART general equilibrium model: A technical description," Kiel Working Papers 883, Kiel Institute for the World Economy (IfW).
    3. Jean-Marc Burniaux & John P. Martin & Giuseppe Nicoletti & Joaquim Oliveira Martins, 1992. "GREEN a Multi-Sector, Multi-Region General Equilibrium Model for Quantifying the Costs of Curbing CO2 Emissions: A Technical Manual," OECD Economics Department Working Papers 116, OECD Publishing.
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    Cited by:

    1. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    2. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    3. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    4. Keppo, Ilkka & Strubegger, Manfred, 2010. "Short term decisions for long term problems – The effect of foresight on model based energy systems analysis," Energy, Elsevier, vol. 35(5), pages 2033-2042.
    5. Pereira, Alfredo M. & Pereira, Rui M., 2014. "On the environmental, economic and budgetary impacts of fossil fuel prices: A dynamic general equilibrium analysis of the Portuguese case," Energy Economics, Elsevier, vol. 42(C), pages 248-261.
    6. Martinsen, Dag & Funk, Carolin & Linssen, Jochen, 2010. "Biomass for transportation fuels--A cost-effective option for the German energy supply?," Energy Policy, Elsevier, vol. 38(1), pages 128-140, January.
    7. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    8. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    9. Alfredo M. Pereira & Rui M. Pereira, 2017. "Reducing carbon emissions in Portugal: the relative roles of fossil fuel prices, energy efficiency, and carbon taxation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(10), pages 1825-1852, October.
    10. Chen, Huayi & Ma, Tieju, 2017. "Optimizing systematic technology adoption with heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 257(1), pages 287-296.
    11. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    12. Djula Borozan & Luka Borozan, 2018. "Analyzing total-factor energy efficiency in Croatian counties: evidence from a non-parametric approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 673-694, September.
    13. Schreiber, A. & Zapp, P. & Markewitz, P. & Vögele, S., 2010. "Environmental analysis of a German strategy for carbon capture and storage of coal power plants," Energy Policy, Elsevier, vol. 38(12), pages 7873-7883, December.
    14. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.
    15. Keles, Dogan & Möst, Dominik & Fichtner, Wolf, 2011. "The development of the German energy market until 2030--A critical survey of selected scenarios," Energy Policy, Elsevier, vol. 39(2), pages 812-825, February.
    16. Chen, Huayi & Ma, Tieju, 2014. "Technology adoption with limited foresight and uncertain technological learning," European Journal of Operational Research, Elsevier, vol. 239(1), pages 266-275.

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