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Are households living in green certified buildings consuming less energy? Evidence from Switzerland

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  • Filippini, Massimo
  • Obrist, Adrian

Abstract

In this paper, we compare the total energy consumption of households living in green certified buildings with households living in conventional buildings based on the example of the Swiss Minergie label. For this purpose, we estimate an econometric total energy demand model using a panel data set comprised of around 1500 households observed over the years 2010–2015. The empirical analysis provides suggestive evidence that households living in green certified buildings save approximately 25% of total energy. The estimated energy savings are lower than predicted by engineering-based bottom-up models that are not considering energy consumption behavioral factors. Nevertheless, our result suggests that savings in energy use and associated emissions of greenhouse gases (and other pollutants) may benefit from energy policy measures such as public information campaigns or subsidies that promote the construction of green certified buildings. Furthermore, since policy scenarios are usually based on ex-ante energy reduction projections, it is important to consider that the energy savings predicted tend, at least for the building sector, to be higher than they actually are. This difference may therefore impact the scenarios and thus the energy policy measures to be implemented.

Suggested Citation

  • Filippini, Massimo & Obrist, Adrian, 2022. "Are households living in green certified buildings consuming less energy? Evidence from Switzerland," Energy Policy, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:enepol:v:161:y:2022:i:c:s0301421521005905
    DOI: 10.1016/j.enpol.2021.112724
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    References listed on IDEAS

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    Cited by:

    1. Yu, Lu & Wu, Shuang & Jiang, Lu & Ding, Bowenpeng & Shi, Xiaonan, 2022. "Do more efficient buildings lead to lower household energy consumption for cooling? Evidence from Guangzhou, China," Energy Policy, Elsevier, vol. 168(C).
    2. Ghosh, Indranil & Jana, Rabin K., 2024. "Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Nina Boogen & Massimo Filippini & Adan L. Martinez-Cruz, 2022. "Value of co-benefits from energy saving ventilation systems—Contingent valuations on Swiss home owners," CER-ETH Economics working paper series 22/368, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Chuan Li & Liangrong Song, 2022. "Regional Differences and Spatial Convergence of Green Development in China," Sustainability, MDPI, vol. 14(14), pages 1-16, July.

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    More about this item

    Keywords

    Residential energy demand; Energy efficiency; Green building certification; Environmental policy;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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