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Scope of Electricity Efficiency Improvement in Switzerland until 2035

Author

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  • Boris Krey

    (Socioeconomic Institute, University of Zurich)

Abstract

This study uses Markowitz mean-variance portfolio theory with forecasted data for the years 2005 to 2035 to determine efficient electricity generating technology mixes for Switzerland. The SURE procedure has been applied to filter out the systematic components of the covariance matrix. Results indicate that risk-averse electricity users in 2035 gain in terms of higher expected return, less risk, more security of supply and a higher return-to-risk ratio compared to 2000 by adopting a feasible minimum variance (MV) technology mix containing 28 percent Gas, 20 percent Run of river, 13 percent Storage hydro, 9 percent Nuclear, and 5 percent each of Solar, Smallhydro, Wind, Biomass, Incineration, and Biogas respectively. However, this mix comes at the cost of higher CO2 emissions.

Suggested Citation

  • Boris Krey, 2008. "Scope of Electricity Efficiency Improvement in Switzerland until 2035," SOI - Working Papers 0813, Socioeconomic Institute - University of Zurich.
    • Handle: RePEc:soz:wpaper:0813
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    File URL: https://www.econ.uzh.ch/apps/workingpapers/wp/wp0813.pdf
    File Function: first version, 2008
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    Citations

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    Cited by:

    1. Ilja Neustadt & Peter Zweifel, 2009. "Economic Well-Being, Social Mobility, and Preferences for Income Redistribution: Evidence from a Discrete Choice Experiment," SOI - Working Papers 0909, Socioeconomic Institute - University of Zurich, revised Jan 2010.
    2. Ribeiro, Fernando & Ferreira, Paula & Araújo, Madalena, 2013. "Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case," Energy, Elsevier, vol. 52(C), pages 126-136.
    3. Polk, Andreas & Schmutzler, Armin & Müller, Adrian, 2014. "Lobbying and the power of multinational firms," European Journal of Political Economy, Elsevier, vol. 36(C), pages 209-227.
    4. Michele Sennhauser, 2009. "Why the Linear Utility Function is a Risky Choice in Discrete-Choice Experiments," SOI - Working Papers 1014, Socioeconomic Institute - University of Zurich.
    5. Maurus Rischatsch, 2009. "Simulating WTP Values from Random-Coefficient Models," SOI - Working Papers 0912, Socioeconomic Institute - University of Zurich.
    6. Maurus Rischatsch & Maria Trottmann, 2009. "Physician dispensing and the choice between generic and brand-name drugs – Do margins affect choice?," SOI - Working Papers 0911, Socioeconomic Institute - University of Zurich.

    More about this item

    Keywords

    Efficiency Frontier; Herfindahl-Hirschman Index (HH); Power Generation; Mean-Variance Portfolio Theory; Seemingly Unrelated Regression Estimations (SURE); Shannon-Wiener Index (SW);
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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