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Heterogeneity in the Effect of Home Energy Audits: Theory and Evidence

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  • Manuel Frondel
  • Colin Vance
Abstract
A longstanding question in the study of energy demand concerns the role of information as a determinant of home efficiency improvements. Although the provision of information via energy audits is frequently asserted to be an effective means for governments to encourage the implementation of efficiency-enhancing renovations, empirical support for this assertion is tenuous at best. Apart from endogeneity issues with respect to receiving an audit, two other factors have complicated attempts to measure their effect: First, the nature of the information provided by the audit is typically unobserved, and, second, the response to this information may vary over households. Using household data from Germany, we address both sources of heterogeneity by estimating a random-parameter model of four retrofitting alternatives. In addition to confirming the importance of costs and savings as determinants of renovation choices, our results suggest that the effects of consultancy vary substantially across households, with some households responding negatively to the provision of information. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Manuel Frondel & Colin Vance, 2013. "Heterogeneity in the Effect of Home Energy Audits: Theory and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(3), pages 407-418, July.
    • Handle: RePEc:kap:enreec:v:55:y:2013:i:3:p:407-418
    DOI: 10.1007/s10640-013-9632-4
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    Cited by:

    1. Tilmann Rave & Ursula Triebswetter & Johann Wackerbauer, 2013. "Koordination von Innovations-, Energie- und Umweltpolitik," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61.
    2. Kerr, N. & Winskel, M., 2020. "Household investment in home energy retrofit: A review of the evidence on effective public policy design for privately owned homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    3. Mark A. Andor & Manuel Frondel & Colin Vance, 2017. "Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 777-796, November.
    4. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    5. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    6. Olsthoorn, Mark & Schleich, Joachim & Hirzel, Simon, 2017. "Adoption of Energy Efficiency Measures for Non-residential Buildings: Technological and Organizational Heterogeneity in the Trade, Commerce and Services Sector," Ecological Economics, Elsevier, vol. 136(C), pages 240-254.
    7. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    8. Cati Torres & Sergio Colombo & Nick Hanley, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: what are the implications for welfare measurement?," Discussion Papers in Environment and Development Economics 2014-07, University of St. Andrews, School of Geography and Sustainable Development.
    9. Louis-Gaëtan Giraudet & Sébastien Houde, 2015. "Double Moral Hazard and the Energy Efficiency Gap," Working Papers hal-01260907, HAL.
    10. Louis-Gaëtan Giraudet & Sébastien Houde, 2014. "Double moral hazard and the energy efficiency gap," Working Papers hal-01016109, HAL.
    11. Palmer, Karen & Walls, Margaret & O'Keeffe, Lucy, "undated". "Putting Information into Action: What Explains Follow-up on Home Energy Audits?," RFF Working Paper Series dp-15-34, Resources for the Future.
    12. Meier, Helena & Tode, Christian, 2015. "How Technological Potentials are Undermined by Economic and Behavioural Responses - The Treatment Effect of Endogenous Energy Efficiency Measures," EWI Working Papers 2015-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    13. Louis-Gaëtan Giraudet, 2018. "Energy efficiency as a credence good: A review of informational barriers to building energy savings," Policy Papers 2018.04, FAERE - French Association of Environmental and Resource Economists.
    14. Louis-Gaëtan Giraudet & S. Houde, 2013. "Double moral hazard and the energy efficiency gap," Post-Print hal-00799725, HAL.
    15. Cattaneo, Cristina, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," CSI: Climate and Sustainable Innovation 269536, Fondazione Eni Enrico Mattei (FEEM).
    16. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    17. Broberg, Thomas & Egüez, Alejandro & Kažukauskas, Andrius, 2019. "Effects of energy performance certificates on investment: A quasi-natural experiment approach," Energy Economics, Elsevier, vol. 84(C).
    18. Egüez, Alejandro, 2020. "Energy Efficiency, District Heating and Waste Management," Umeå Economic Studies 979, Umeå University, Department of Economics.
    19. Schlindwein, L.F. & Montalvo, C., 2023. "Energy citizenship: Accounting for the heterogeneity of human behaviours within energy transition," Energy Policy, Elsevier, vol. 180(C).
    20. Giraudet, Louis-Gaëtan, 2020. "Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector," Energy Economics, Elsevier, vol. 87(C).
    21. Cattaneo, Cristina, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," CSI: Climate and Sustainable Innovation 269536, Fondazione Eni Enrico Mattei (FEEM).
    22. Kniesner, Thomas J. & Rustamov, Galib, 2018. "Differential and Distributional Effects of Energy Efficiency Surveys: Evidence from Electricity Consumption," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 9(3), pages 375-406, October.
    23. Schleich, Joachim & Fleiter, Tobias, 2019. "Effectiveness of energy audits in small business organizations," Resource and Energy Economics, Elsevier, vol. 56(C), pages 59-70.

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    More about this item

    Keywords

    Energy audit; Environmental policy; Mixed logit ; Random-coefficient models; C35; D81; Q41;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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