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Economic Implications of the IEA Efficient World Scenario

Author

Listed:
  • Jean Château

    (OECD)

  • Bertrand Magné

    (OECD)

  • Laura Cozzi

    (International Energy Agency)

Abstract

In its 2012 edition of the World Energy Outlook, the International Energy Agency (IEA) produced an Efficient World Scenario (IEA, 2012) to assess how implementing only economically viable energy efficiency measures would affect energy markets, investment and greenhouse emissions (GHG). The IEA analysis found that in order to halve global primary energy demand over 2010-2035, additional investments of USD 11.8 trillion in more efficient end-use technologies would be necessary. Using the OECD ENV-Linkages macro-economic model, this report simulates the economic and environmental impacts which the IEA Efficient World Scenario implies... Dans son Edition 2012 du « World Energy Outlook », l’Agence Internationale de l’Énergie a élaborée un Scénario pour un monde plus efficace (IEA, 2012) visant à déterminer comment des mesures d’efficacité énergétiques viable affecteront les marchés de l’énergie, les investissements et les émissions de gaz à effet de serre (GES). L’analyse de l’IEA indique que pour diminuer de moitié la demande d’énergie primaire sur l’horizon 2010-2035, près de 11.8 trillions USD d’investissement supplémentaires dans les technologies plus efficace en énergie sont nécessaires. Utilisant le modèle ENV-Linkages de l’OCDE, ce rapport détaille les conséquences économiques et environnementales du Scénario pour un monde plus efficace.

Suggested Citation

  • Jean Château & Bertrand Magné & Laura Cozzi, 2014. "Economic Implications of the IEA Efficient World Scenario," OECD Environment Working Papers 64, OECD Publishing.
    • Handle: RePEc:oec:envaaa:64-en
    DOI: 10.1787/5jz2qcn29lbw-en
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    Citations

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    Cited by:

    1. Olivier Durand-Lasserve & Lorenza Campagnolo & Jean Chateau & Rob Dellink, 2015. "Modelling of distributional impacts of energy subsidy reforms: an illustration with Indonesia," OECD Environment Working Papers 86, OECD Publishing.
    2. Terry Barker & Eva Alexandri & Jean-Francois Mercure & Yuki Ogawa & Hector Pollitt, 2016. "GDP and employment effects of policies to close the 2020 emissions gap," Climate Policy, Taylor & Francis Journals, vol. 16(4), pages 393-414, May.
    3. Zheng, Yanan & Ren, Dongming & Guo, Zheyu & Hu, Zhaoguang & Wen, Quan, 2019. "Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China," Energy, Elsevier, vol. 180(C), pages 772-786.
    4. Dr. Christian Lutz & Dr. Barbara Breitschopf, 2016. "Systematisierung der gesamtwirtschaftlichen Effekte und Verteilungswirkungen der Energiewende," GWS Research Report Series 16-1, GWS - Institute of Economic Structures Research.
    5. Jean Chateau & Erwin Corong & Elisa Lanzi & Caitlyn Carrico & Jean Fouré & David Laborde, 2020. "Characterizing Supply-Side Drivers of Structural Change in the Construction of Economic Baseline Projections," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 109-161, June.

    More about this item

    Keywords

    climate change policy; computable general equilibrium; efficacité énergétique; energy efficiency; macroeconomic; macroéconomique; politique du changement climatique; équilibre général calculable;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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