IDEAS home Printed from https://ideas.repec.org/p/kof/wpskof/13-327.html
   My bibliography  Save this paper

Energy Reform in Switzerland

Author

Abstract

We develop a general equilibrium model of trade with multiple countries and industries in the spirit of Eaton and Kortum (2002) and Bernard, Eaton, Jensen, and Kortum (2003). We structurally estimate the parameters of the model and calibrate it to data on 33 OECD countries and one country that covers the rest of the world. Industries differ by their relative energy intensity and the level of pollution. Accordingly, the implementation of policy instruments to reduce pollution at the country level induces heterogeneous effects across industries within and across countries. We utilize the model to compare alternative environmental tax instruments and to evaluate their consequences for the level of carbon emissions, welfare costs, industry-specific prices and demand in various policy scenarios. Among the latter, we particularly distinguish between policies that are implemented in isolation (by single countries) or en bloc (in groups of countries or even world wide). This study pays specific attention to the implementation of various energy policies, in particular, in Switzerland. Beyond implementation of the Copenhagen Accord pledges, the study quantifies an implementation of extra taxes on carbon emissions at the amount of 1,140 Swiss Francs per ton of carbon and the substitution of nuclear energy production.

Suggested Citation

  • Peter Egger & Sergey Nigai, 2013. "Energy Reform in Switzerland," KOF Working papers 13-327, KOF Swiss Economic Institute, ETH Zurich.
  • Handle: RePEc:kof:wpskof:13-327
    DOI: 10.3929/ethz-a-007606189
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3929/ethz-a-007606189
    Download Restriction: no

    File URL: https://libkey.io/10.3929/ethz-a-007606189?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zeileis, Achim & Grothendieck, Gabor, 2005. "zoo: S3 Infrastructure for Regular and Irregular Time Series," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i06).
    2. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
    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. Matthias Bannert, 2015. "timeseriesdb: Manage and Archive Time Series Data in Establishment Statistics with R and PostgreSQL," KOF Working papers 15-384, KOF Swiss Economic Institute, ETH Zurich.
    2. Matthias Bannert, 2013. "Gateveys," KOF Working papers 13-326, KOF Swiss Economic Institute, ETH Zurich.
    3. Malte Willmes & Katherine M Ransom & Levi S Lewis & Christian T Denney & Justin J G Glessner & James A Hobbs, 2018. "IsoFishR: An application for reproducible data reduction and analysis of strontium isotope ratios (87Sr/86Sr) obtained via laser-ablation MC-ICP-MS," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    4. Roseline Bilina & Steve Lawford, 2012. "Python for Unified Research in Econometrics and Statistics," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 558-591, September.
    5. Bouras V. David & Wesseh Wollo, 2020. "Oligopoly Power, Cross-Market Effects and Demand Relatedness: An Empirical Analysis," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 6, September.
    6. Amélie Charles & Olivier Darné, 2019. "Volatility estimation for Bitcoin: Replication and robustness," International Economics, CEPII research center, issue 157, pages 23-32.
    7. Nicholas John Tierney & Dianne Cook & Tania Prvan, 2020. "brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R," Monash Econometrics and Business Statistics Working Papers 43/20, Monash University, Department of Econometrics and Business Statistics.
    8. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.
    9. Jiří Sedláček, 2013. "Using R in Finance [Využití R v oblasti financí]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2013(4), pages 145-163.
    10. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    11. Judith M. Ament & Robin Freeman & Chris Carbone & Anna Vassall & Charlotte Watts, 2020. "An Empirical Analysis of Synergies and Tradeoffs between Sustainable Development Goals," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    12. Anota, Amélie & Savina, Marion & Bascoul-Mollevi, Caroline & Bonnetain, Franck, 2017. "QoLR: An R Package for the Longitudinal Analysis of Health-Related Quality of Life in Oncology," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i12).
    13. Ohana-Levi, Noa & Munitz, Sarel & Ben-Gal, Alon & Netzer, Yishai, 2020. "Evaluation of within-season grapevine evapotranspiration patterns and drivers using generalized additive models," Agricultural Water Management, Elsevier, vol. 228(C).
    14. Le Zhang & Andreas Ortmann, 2012. "A reproduction and replication of Engel’s meta-study of dictator game experiments," Discussion Papers 2012-44, School of Economics, The University of New South Wales.
    15. Percebois, Jacques & Pommeret, Stanislas, 2019. "Storage cost induced by a large substitution of nuclear by intermittent renewable energies: The French case," Energy Policy, Elsevier, vol. 135(C).
    16. Nicolas Vallois & Dorian Jullien, 2017. "Replication in experimental economics: A historical and quantitative approach focused on public good game experiments," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01651080, HAL.
    17. Ferstl, Robert & Hayden, Josef, 2010. "Zero-Coupon Yield Curve Estimation with the Package termstrc," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i01).
    18. Golyandina, Nina & Korobeynikov, Anton & Shlemov, Alex & Usevich, Konstantin, 2015. "Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i02).
    19. Chris Heaton & Natalia Ponomareva & Qin Zhang, 2020. "Forecasting models for the Chinese macroeconomy: the simpler the better?," Empirical Economics, Springer, vol. 58(1), pages 139-167, January.
    20. Thelma Dede Baddoo & Zhijia Li & Yiqing Guan & Kenneth Rodolphe Chabi Boni & Isaac Kwesi Nooni, 2020. "Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions," IJERPH, MDPI, vol. 17(11), pages 1-26, June.

    More about this item

    Keywords

    Carbon taxation; Energy policy; International trade; KOF-Key-energieversorgung;
    All these keywords.

    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:kof:wpskof:13-327. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/koethch.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.