IDEAS home Printed from https://ideas.repec.org/p/zbw/bubtps/303049.html
   My bibliography  Save this paper

The effects of energy efficiency on GDP and GHG emissions in Germany

Author

Listed:
  • Jüppner, Marcus
  • Martin, Anika
  • Radke-Arden, Lucas

Abstract

Energy efficiency improvements are a key component on the road towards a carbonneutral economy. We identify the development of energy efficiency in the data and show that in recent decades it has increased at the aggregate level. At the sectoral level, however, the development in energy efficiency was highly heterogenous. We, then, analyse the effects of exogenous improvements in energy saving technology by means of Environmental Multi-Sector Model EMuSe. According to the model, sustained exogenous gains in energy saving technology increase output while, at the same time, reduce emissions energy use and energy intensity. Thereby, they attenuate the model-implied negative co-movement of output and emissions that results from the introduction or an intensified increase of an emission price schedule. However, if energy efficiency evolves as during the last decades and the emission price follows the currently intended schedule in the national and EU-wide emissions trading system, the model predicts that the emissions reduction by 2030 set by the German Federal Climate Change Act cannot be met. It additionally requires a higher emission price or larger (exogenous) energy efficiency gains.

Suggested Citation

  • Jüppner, Marcus & Martin, Anika & Radke-Arden, Lucas, 2024. "The effects of energy efficiency on GDP and GHG emissions in Germany," Technical Papers 03/2024, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubtps:303049
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/303049/1/1903195497.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    3. Garth Heutel, 2012. "How Should Environmental Policy Respond to Business Cycles? Optimal Policy under Persistent Productivity Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 244-264, April.
    4. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "A World Induced Technical Change Hybrid Model," The Energy Journal, , vol. 27(2_suppl), pages 13-37, June.
    5. Timm Bönke & Geraldine Dany-Knedlik & Werner Roeger, 2023. "Meeting Climate Targets Can Only Spur on Economic Growth with the Right Combination of Measures," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 13(34/35), pages 235-242.
    6. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, , vol. 29(3), pages 1-26, July.
    7. Garth Heutel, 2012. "How Should Environmental Policy Respond to Business Cycles? Optimal Policy under Persistent Productivity Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 244-264, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gregory Casey, 2024. "Energy Efficiency and Directed Technical Change: Implications for Climate Change Mitigation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 192-228.
    2. Tang, Maogang & Li, Xiuzhen & Zhang, Yun & Wu, Yingtao & Wu, Baijun, 2020. "From command-and-control to market-based environmental policies: Optimal transition timing and China’s heterogeneous environmental effectiveness," Economic Modelling, Elsevier, vol. 90(C), pages 1-10.
    3. Corbier, Darius & Gonand, Frédéric, 2024. "A hybrid electricity-economy model to assess the aggregate impacts of low-carbon transition: An application to France," Ecological Economics, Elsevier, vol. 216(C).
    4. Valentina Bosetti & Marco Maffezzoli, 2013. "Taxing Carbon under Market Incompleteness," Working Papers 2013.72, Fondazione Eni Enrico Mattei.
    5. Naqvi, Asjad & Stockhammer, Engelbert, 2018. "Directed Technological Change in a Post-Keynesian Ecological Macromodel," Ecological Economics, Elsevier, vol. 154(C), pages 168-188.
    6. Carolyn Fischer & Garth Heutel, 2013. "Environmental Macroeconomics: Environmental Policy, Business Cycles, and Directed Technical Change," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 197-210, June.
    7. Maogang Tang & Ruihan Zhang & Zhen Li & Baijun Wu, 2021. "Assessing the impact of tradable discharge permit on pollution reduction and innovation: micro-evidence from Chinese industrial enterprises," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16911-16933, November.
    8. John Hassler & Per Krusell & Conny Olovsson, 2021. "Directed Technical Change as a Response to Natural Resource Scarcity," Journal of Political Economy, University of Chicago Press, vol. 129(11), pages 3039-3072.
    9. Dietrich, Alexander M. & Müller, Gernot J. & Schoenle, Raphael, 2023. "Big news: Climate change and the business cycle," University of Tübingen Working Papers in Business and Economics 158, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    10. Bosetti, Valentina & Carraro, Carlo & Duval, Romain & Tavoni, Massimo, 2011. "What should we expect from innovation? A model-based assessment of the environmental and mitigation cost implications of climate-related R&D," Energy Economics, Elsevier, vol. 33(6), pages 1313-1320.
    11. Emanuele Massetti & Lea Nicita, 2010. "The Optimal Climate Policy Portfolio when Knowledge Spills across Sectors," CESifo Working Paper Series 2988, CESifo.
    12. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
    13. Giovanardi, Francesco & Kaldorf, Matthias & Radke, Lucas & Wicknig, Florian, 2022. "The preferential treatment of green bonds," Discussion Papers 51/2022, Deutsche Bundesbank.
    14. Xu, Qi & Liu, Kui, 2024. "Hero or Devil: A comparison of different carbon tax policies for China," Energy, Elsevier, vol. 306(C).
    15. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    16. Eric Jondeau & Gregory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition Risk," Swiss Finance Institute Research Paper Series 22-45, Swiss Finance Institute.
    17. Ren Wang & Yuxiang Bian & Han Gao & Jie Hou, 2023. "Optimal Environmental Policy for Heterogeneous Governments in China," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    18. Patrick Gruning, 2022. "Fiscal, Environmental, and Bank Regulation Policies in a Small Open Economy for the Green Transition," Working Papers 2022/06, Latvijas Banka.
    19. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    20. Mort Webster & Karen Fisher-Vanden & David Popp & Nidhi Santen, 2017. "Should We Give Up after Solyndra? Optimal Technology R&D Portfolios under Uncertainty," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 123-151.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:bubtps:303049. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.