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Does Daylight Saving Save Energy? A Meta-Analysis

Author

Listed:
  • Havranek, Tomas
  • Herman, Dominik
  • Irsova, Zuzana
Abstract
The original rationale for adopting daylight saving time (DST) was energy savings. Modern research studies, however, question the magnitude and even direction of the effect of DST on energy consumption. Representing the first meta-analysis in this literature, we collect 162 estimates from 44 studies and find that the mean reported estimate indicates modest energy savings: 0.34% during the days when DST applies. The literature is not affected by publication bias, but the results vary systematically depending on the exact data and methodology applied. Using Bayesian model averaging we identify the most important factors driving the heterogeneity of the reported effects: data frequency, estimation technique (simulation vs. regression), and, importantly, the latitude of the country considered. Energy savings are larger for countries farther away from the equator, while subtropical regions consume more energy because of DST.

Suggested Citation

  • Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2016. "Does Daylight Saving Save Energy? A Meta-Analysis," MPRA Paper 74518, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:74518
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    References listed on IDEAS

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    Cited by:

    1. Havranek, Tomas & Irsova, Zuzana & Vlach, Tomas, 2016. "Publication Bias in Measuring the Income Elasticity of Water Demand," MPRA Paper 75247, University Library of Munich, Germany.
    2. Tomas Havranek & Zuzana Irsova & Tomas Vlach, 2018. "Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases," Land Economics, University of Wisconsin Press, vol. 94(2), pages 259-283.
    3. repec:cnb:ocpubv:rb16/1 is not listed on IDEAS
    4. 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.
    5. López, Miguel, 2020. "Daylight effect on the electricity demand in Spain and assessment of Daylight Saving Time policies," Energy Policy, Elsevier, vol. 140(C).
    6. repec:cnb:ocpubv:rb15/2 is not listed on IDEAS
    7. Havranek, Tomas & Irsova, Zuzana & Zeynalova, Olesia, 2017. "Tuition Reduces Enrollment Less Than Commonly Thought," MPRA Paper 78813, University Library of Munich, Germany.
    8. Shaffer, Blake, 2017. "Location matters: daylight saving time and electricity use," MPRA Paper 84053, University Library of Munich, Germany.
    9. 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.

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    More about this item

    Keywords

    daylight saving time; energy savings; Bayesian model averaging; meta-analysis; publication bias;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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