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Environmental and economic effects of post-Kyoto carbon regimes: Results of simulations with the global model GINFORS

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  • Lutz, Christian
  • Meyer, Bernd

Abstract

Using the extensive and disaggregated global GINFORS model, consequences of different possible post-Kyoto regimes on the German and European economy and other major economies in the medium run until 2020 are depicted. The approach is very extensive and detailed in comparison to already existing analyses: this holds for the number of explicitly modelled countries (50 and 2 regions) and 41 economic sectors, input-output tables, the bilateral trade flows, the detailed coverage of behavioural parameters, the coverage of energy balances and CO2 emissions as well as for the number and precise economic-political design of simulation runs. Global emissions will double until 2030 compared to 1990 levels without the existence of a far-reaching climate regime after 2012. A unilateral commitment of the EU would only be a "drop in the bucket", which solely strengthens the credibility of the EU in international negotiations. A stabilisation of global emissions in 2020 compared to 2010, which is consistent with the 2 target of the EU can only be achieved, if all developed and at least the large emerging economies participate and if all possible existing market-ready reduction technologies are used.

Suggested Citation

  • Lutz, Christian & Meyer, Bernd, 2009. "Environmental and economic effects of post-Kyoto carbon regimes: Results of simulations with the global model GINFORS," Energy Policy, Elsevier, vol. 37(5), pages 1758-1766, May.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:5:p:1758-1766
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    2. Distelkamp, Martin & Meyer, Mark, 2019. "Pathways to a Resource-Efficient and Low-Carbon Europe," Ecological Economics, Elsevier, vol. 155(C), pages 88-104.
    3. Alessandro Antimiani & Valeria Costantini & Anil Markandya & Chiara Martini & Alessandro Palma, 2014. "A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund," Working Papers 2014-05, BC3.
    4. Yinger Zheng & Haixia Zheng & Xinyue Ye, 2016. "Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 8(11), pages 1-20, November.
    5. Christian Lutz, 2010. "How to increase global resource productivity? Findings from modelling in the petrE project," International Economics and Economic Policy, Springer, vol. 7(2), pages 343-356, August.
    6. Acquaye, Adolf & Duffy, Aidan & Basu, Biswajit, 2011. "Embodied emissions abatement--A policy assessment using stochastic analysis," Energy Policy, Elsevier, vol. 39(1), pages 429-441, January.
    7. Zoi Vrontisi & Ioannis Charalampidis & Ulrike Lehr & Mark Meyer & Leonidas Paroussos & Christian Lutz & Yen E. Lam-González & Anastasia Arabadzhyan & Matías M. González & Carmelo J. León, 2022. "Macroeconomic impacts of climate change on the Blue Economy sectors of southern European islands," Climatic Change, Springer, vol. 170(3), pages 1-21, February.
    8. Mark Meyer & Martin Distelkamp & Gerd Ahlert & Prof. Dr. Bernd Meyer, 2013. "Macroeconomic Modelling of the Global Economy-Energy-Environment Nexus - An Overview of Recent Advancements of the Dynamic Simulation Model GINFORS," GWS Discussion Paper Series 13-5, GWS - Institute of Economic Structures Research.
    9. Gerd Ahlert & Prof. Dr. Bernd Meyer & Roland Zieschank & Prof. Dr. Hans Diefenbacher & Prof. Dr. Hans G. Nutzinger, 2013. "Synopsis of Approaches to Welfare and of Green Growth Concepts Currently under Discussion," GWS Discussion Paper Series 13-1, GWS - Institute of Economic Structures Research.
    10. Johannes Reinhard Többen & Martin Distelkamp & Britta Stöver & Saskia Reuschel & Lara Ahmann & Christian Lutz, 2022. "Global Land Use Impacts of Bioeconomy: An Econometric Input–Output Approach," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    11. Prof. Dr. Bernd Meyer & Gerd Ahlert & Roland Zieschank & Prof. Dr. Hans Diefenbacher, 2012. "Synopse aktuell diskutierter Wohlfahrtsansätze und grüner Wachstumskonzepte und grüner Wachstumskonzepte Synopse aktuell diskutierter Wohlfahrtsansätze und grüner Wachstumskonzepte," GWS Discussion Paper Series 12-4, GWS - Institute of Economic Structures Research.
    12. Wiebe, Kirsten S. & Lutz, Christian, 2016. "Endogenous technological change and the policy mix in renewable power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 739-751.
    13. Melania Michetti & Ramiro Parrado, 2012. "Improving Land-use Modelling within CGE to Assess Forest-based Mitigation Potential and Costs," Working Papers 2012.19, Fondazione Eni Enrico Mattei.
    14. Kirsten S. Wiebe, 2016. "The impact of renewable energy diffusion on European consumption-based emissions," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 133-150, June.
    15. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    16. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
    17. Dr. Ulrike Lehr & Dr. Christian Lutz & Kirsten Wiebe, 2011. "Medium Term Economic Effects of Peak Oil Today," GWS Discussion Paper Series 11-3, GWS - Institute of Economic Structures Research.
    18. Lukáš Rečka & Milan Ščasný, 2013. "Analýza dopadů regulace v českém elektroenergetickém systému - aplikace dynamického lineárního modelu Message [Environmental Regulation Impacts on the Czech Power System by the Dynamic Linear Optim," Politická ekonomie, Prague University of Economics and Business, vol. 2013(2), pages 248-273.

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