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What drives social contagion in the adoption of solar photovoltaic technology

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  • Andrea Baranzini, Stefano Carattini, Martin Peclat

Abstract

Increasing the use of renewable energy is central to address climate change. Recent research has suggested the existence of social contagion in the adoption of solar panels, which may contribute to accelerate the transition to a low-carbon economy. While the existing literature has focused on residential adoption only, we extend the analysis to private firms and farms, and include solar panels with different characteristics. We exploit a unique large dataset providing detailed information on about 60,000 solar installations in Switzerland, including their specific location at the street level and details on the timing of the technological adoption, and couple it with rich socioeconomic data at the municipality level. Our detailed data allow us to adopt an empirical strategy addressing the main threats to identification associated with social contagion, including homophily and reflection. We find that households’ decisions to adopt the solar technology are dependent on pre-existing adoption, and in particular on spatially close and recent installations. Firms and farms solar PV adoptions react to neighboring PV panels, although in a lesser extent than households. Furthermore, companies are more influenced by panels installed by other companies, compared to panels installed by households. By distinguishing between building-integrated and building-attached PV systems and including capacity categories, we provide evidence that both learning and imitation are important components of social contagion. As a result, our findings provide new insights on the mechanisms of social contagion and how they could be leveraged with targeted interventions.

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  • Andrea Baranzini, Stefano Carattini, Martin Peclat, 2017. "What drives social contagion in the adoption of solar photovoltaic technology," GRI Working Papers 270, Grantham Research Institute on Climate Change and the Environment.
  • Handle: RePEc:lsg:lsgwps:wp270
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    Cited by:

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    6. Konc, Théo & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "The social multiplier of environmental policy: Application to carbon taxation," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    7. Petrovich, Beatrice & Carattini, Stefano & Wüstenhagen, Rolf, 2021. "The price of risk in residential solar investments," Ecological Economics, Elsevier, vol. 180(C).
    8. Mattauch, Linus & Hepburn, Cameron & Spuler, Fiona & Stern, Nicholas, 2022. "The economics of climate change with endogenous preferences," Resource and Energy Economics, Elsevier, vol. 69(C).
    9. Irwin, Nicholas B., 2021. "Sunny days: Spatial spillovers in photovoltaic system adoptions," Energy Policy, Elsevier, vol. 151(C).
    10. Christa Brelsford & Caterina Bacco, 2018. "Are ‘Water Smart Landscapes’ Contagious? An Epidemic Approach on Networks to Study Peer Effects," Networks and Spatial Economics, Springer, vol. 18(3), pages 577-613, September.
    11. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    12. Jeffrey Walters & Jessica Kaminsky & Lawrence Gottschamer, 2018. "A Systems Analysis of Factors Influencing Household Solar PV Adoption in Santiago, Chile," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    13. Wen, Xin & Heinisch, Verena & Müller, Jonas & Sasse, Jan-Philipp & Trutnevyte, Evelina, 2023. "Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale," Energy, Elsevier, vol. 285(C).
    14. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    15. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    16. Christa Brelsford & Caterina De Bacco, 2018. "Are `Water Smart Landscapes' Contagious? An epidemic approach on networks to study peer effects," Papers 1801.10516, arXiv.org.
    17. Petrovich, Beatrice & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2019. "Beauty and the budget: A segmentation of residential solar adopters," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    18. Liping Ding & Fan Zhang & Jing Shuai, 2018. "How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China," Energies, MDPI, vol. 11(1), pages 1-11, January.
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    20. Elliot, Thomas & Levasseur, Annie, 2022. "System dynamics life cycle-based carbon model for consumption changes in urban metabolism," Ecological Modelling, Elsevier, vol. 473(C).

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