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Unintended Effects of Energy Efficiency Policy: Lessons Learned in the Residential Sector

Author

Listed:
  • Andra Blumberga

    (Institute of Energy Systems and Environment, Riga Technical University, LV-1048 Riga, Latvia)

  • Gatis Bazbauers

    (Institute of Energy Systems and Environment, Riga Technical University, LV-1048 Riga, Latvia)

  • Selina Vancane

    (Institute of Energy Systems and Environment, Riga Technical University, LV-1048 Riga, Latvia)

  • Ivars Ijabs

    (Advanced Social and Political Research Institute, University of Latvia, LV-1019 Riga, Latvia)

  • Jurijs Nikisins

    (Advanced Social and Political Research Institute, University of Latvia, LV-1019 Riga, Latvia)

  • Dagnija Blumberga

    (Institute of Energy Systems and Environment, Riga Technical University, LV-1048 Riga, Latvia)

Abstract

The European Union has set an ambitious goal to tackle climate change, and energy efficiency in the residential sector is among the measures required to close the gap between targeted and actual greenhouse gas emissions. While different policy tools have been applied, the diffusion rate of these measures remains low. A system dynamics simulation model of the residential sector was developed to assess the advantages and drawbacks of energy efficiency policy in the multi-family building sector based on experience accumulated over the last twelve years in Latvia. The model was validated in expert group model building sessions and with historical trends. Simulating the model, a hypothesis was tested that supported the idea that seemingly positive policy tools set the stage for a series of unintended adverse effects due to the complex interactions between different system components. The common assumption that information and financial support should result in significant energy efficiency diffusion proved to be wrong. It instead results in unintended long-term consequences that hamper national energy efficiency goals. The model carried out an analysis and brought insights for improving the effectiveness of government energy efficiency policy. It is concluded that models that broadly describe complex systems are needed to identify effective policies and foresee unintended side effects.

Suggested Citation

  • Andra Blumberga & Gatis Bazbauers & Selina Vancane & Ivars Ijabs & Jurijs Nikisins & Dagnija Blumberga, 2021. "Unintended Effects of Energy Efficiency Policy: Lessons Learned in the Residential Sector," Energies, MDPI, vol. 14(22), pages 1-31, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7792-:d:684476
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    References listed on IDEAS

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    1. Stefanie Heinzle, 2012. "Disclosure of Energy Operating Cost Information: A Silver Bullet for Overcoming the Energy-Efficiency Gap?," Journal of Consumer Policy, Springer, vol. 35(1), pages 43-64, March.
    2. Ana Ramos & Xavier Labandeira & Andreas Löschel, 2016. "Pro-environmental Households and Energy Efficiency in Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 367-393, February.
    3. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    4. Hazhir Rahmandad & John Sterman, 2008. "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models," Management Science, INFORMS, vol. 54(5), pages 998-1014, May.
    5. Ebrahimigharehbaghi, Shima & Qian, Queena K. & Meijer, Frits M. & Visscher, Henk J., 2019. "Unravelling Dutch homeowners' behaviour towards energy efficiency renovations: What drives and hinders their decision-making?," Energy Policy, Elsevier, vol. 129(C), pages 546-561.
    6. de Gooyert, Vincent & Rouwette, Etiënne & van Kranenburg, Hans & Freeman, Edward & van Breen, Harry, 2016. "Sustainability transition dynamics: Towards overcoming policy resistance," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 135-145.
    7. Girod, Bastien & Stucki, Tobias & Woerter, Martin, 2017. "How do policies for efficient energy use in the household sector induce energy-efficiency innovation? An evaluation of European countries," Energy Policy, Elsevier, vol. 103(C), pages 223-237.
    8. Trotta, Gianluca, 2018. "The determinants of energy efficient retrofit investments in the English residential sector," Energy Policy, Elsevier, vol. 120(C), pages 175-182.
    9. Labanca, Nicola & Bertoldi, Paolo, 2018. "Beyond energy efficiency and individual behaviours: policy insights from social practice theories," Energy Policy, Elsevier, vol. 115(C), pages 494-502.
    10. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    11. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    12. Kivimaa, Paula & Kern, Florian, 2016. "Creative destruction or mere niche support? Innovation policy mixes for sustainability transitions," Research Policy, Elsevier, vol. 45(1), pages 205-217.
    13. Jan Rotmans & Derk Loorbach, 2009. "Complexity and Transition Management," Journal of Industrial Ecology, Yale University, vol. 13(2), pages 184-196, April.
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    Cited by:

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    3. Alberto Barbaresi & Mattia Ceccarelli & Giulia Menichetti & Daniele Torreggiani & Patrizia Tassinari & Marco Bovo, 2022. "Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need," Energies, MDPI, vol. 15(4), pages 1-16, February.

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