Scope of Electricity Efficiency Improvement in Switzerland until 2035
AbstractThis 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.
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Bibliographic InfoPaper provided by University of Zurich, Socioeconomic Institute in its series Working Papers with number 0813.
Length: 25 pages
Date of creation: Oct 2008
Date of revision:
Efficiency Frontier; Herfindahl-Hirschman Index (HH); Power Generation; Mean-Variance Portfolio Theory; Seemingly Unrelated Regression Estimations (SURE); Shannon-Wiener Index (SW);
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect 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; Longitudinal Data; Spatial Time Series
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