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Latitudinal Effect on Energy Savings from Daylight Savings Time

Author

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  • Bergland, Olvar

    (School of Economics and Business, Norwegian University of Life Sciences)

  • Mirza, Faisal

    (Department of Economics, University of Gujrat)

Abstract

This paper looks at the potential systematic variation in energy savings resulting from daylight saving time(DST)in a number of geographic areas varying in latitude ranging from Northern to Southern Europe. We are using the same econometric specification and estimation method for a consistent dataset of electricity load covering 35 countries in Europe. Thus our results provide a comprehensive set of consistent and comparable estimates of the DST effect. The average treatment effect results obtained from difference-in-difference regression for 46 electricity load zones ranges from zero in northern most parts of Norway and Sweden to more than 2.5 % in a number of locations. We find some evidence that energy savings from DST decreases with latitude, and especially for homogeneous groups of countries. The diversity in estimated effects cuts across geographical, cultural and economic factors.

Suggested Citation

  • Bergland, Olvar & Mirza, Faisal, 2017. "Latitudinal Effect on Energy Savings from Daylight Savings Time," Working Paper Series 08-2017, Norwegian University of Life Sciences, School of Economics and Business.
  • Handle: RePEc:hhs:nlsseb:2017_008
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    File URL: https://www.nmbu.no/download/file/fid/29531
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    References listed on IDEAS

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    12. Choi, Seungmoon & Pellen, Alistair & Masson, Virginie, 2017. "How does daylight saving time affect electricity demand? An answer using aggregate data from a natural experiment in Western Australia," Energy Economics, Elsevier, vol. 66(C), pages 247-260.
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    Cited by:

    1. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).

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    More about this item

    Keywords

    daylight savingstime; electricityconsumption; di erence-in-di erence;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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