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Drivers of renewable technology adoption in the household sector

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  • Jacksohn, Anke
  • Grösche, Peter
  • Rehdanz, Katrin
  • Schröder, Carsten

Abstract

Using data from the German Socio-Economic Panel, we undertake a simultaneous assessment of the importance of factors that are individually found to be significant for the adoption of renewable energy systems by households but are not yet tested jointly. These are sociodemographic and housing characteristics, environmental concern, personality traits, and economic factors; i.e. the expected costs of and revenues from the investment. Our results suggest that household decisions to invest in photovoltaic systems and solar thermal facilities are mainly driven by economic factors. Taking account of sociodemographic and housing characteristics, environmental concern, or personality traits has comparatively little relevance, while the quantitative nexus between the decision to invest and returns on the investment is robust to their inclusion.

Suggested Citation

  • Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
  • Handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:216-226
    DOI: 10.1016/j.eneco.2019.04.001
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    1. Michelsen, Carl Christian & Madlener, Reinhard, 2012. "Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany," Energy Economics, Elsevier, vol. 34(5), pages 1271-1283.
    2. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    3. Michelsen, Carl Christian & Madlener, Reinhard, 2013. "Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany," Energy Policy, Elsevier, vol. 57(C), pages 221-233.
    4. Busic-Sontic, Ante & Czap, Natalia V. & Fuerst, Franz, 2017. "The role of personality traits in green decision-making," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 313-328.
    5. Welsch, Heinz & Kühling, Jan, 2009. "Determinants of pro-environmental consumption: The role of reference groups and routine behavior," Ecological Economics, Elsevier, vol. 69(1), pages 166-176, November.
    6. Ante Busic-Sontic & Franz Fuerst, 2017. "The Personality Profiles of Early Adopters of Energy-Efficient Technology," SOEPpapers on Multidisciplinary Panel Data Research 924, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Palm, Jenny, 2018. "Household installation of solar panels – Motives and barriers in a 10-year perspective," Energy Policy, Elsevier, vol. 113(C), pages 1-8.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    10. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    11. De Groote, Olivier & Pepermans, Guido & Verboven, Frank, 2016. "Heterogeneity in the adoption of photovoltaic systems in Flanders," Energy Economics, Elsevier, vol. 59(C), pages 45-57.
    12. Karakaya, Emrah & Hidalgo, Antonio & Nuur, Cali, 2015. "Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1090-1098.
    13. Crago, Christine Lasco & Chernyakhovskiy, Ilya, 2017. "Are policy incentives for solar power effective? Evidence from residential installations in the Northeast," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 132-151.
    14. Wasi, Nada & Carson, Richard T., 2013. "The influence of rebate programs on the demand for water heaters: The case of New South Wales," Energy Economics, Elsevier, vol. 40(C), pages 645-656.
    15. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
    16. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    17. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2013. "Motivations and barriers associated with adopting microgeneration energy technologies in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 655-666.
    18. Jule Specht & Boris Egloff & Stefan C. Schmukle, 2011. "Stability and Change of Personality across the Life Course: The Impact of Age and Major Life Events on Mean-Level and Rank-Order Stability of the Big Five," SOEPpapers on Multidisciplinary Panel Data Research 377, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Mills, Bradford F. & Schleich, Joachim, 2009. "Profits or preferences? Assessing the adoption of residential solar thermal technologies," Energy Policy, Elsevier, vol. 37(10), pages 4145-4154, October.
    20. Braito, Michael & Flint, Courtney & Muhar, Andreas & Penker, Marianne & Vogel, Stefan, 2017. "Individual and collective socio-psychological patterns of photovoltaic investment under diverging policy regimes of Austria and Italy," Energy Policy, Elsevier, vol. 109(C), pages 141-153.
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    More about this item

    Keywords

    Renewable technology adoption; Investment decision; Solar energy; Household sector;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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