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Spatial Characteristics of the Diffusion of Residential Solar Photovoltaics in Urban Areas: A Case of Seoul, South Korea

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  • Moon-Hyun Kim

    (Graduate School of Environmental Studies, Seoul National University, Seoul 08826, Korea)

  • Tae-Hyoung Tommy Gim

    (Graduate School of Environmental Studies, Interdisciplinary Program in Landscape Architecture, and Environmental Planning Institute, Seoul National University, Seoul 08826, Korea)

Abstract

Mini-solar photovoltaics, which are installed on apartment balconies, are rapidly spreading in Seoul, South Korea. Seoul has implemented a policy to diffuse mini-solar photovoltaics in apartments for energy transition since 2012. The policy considers compact land use and a large population of the city. This study examines a variety of variables in relation to the adoption of mini-solar photovoltaics. In particular, we focus on peer effects, namely, those of spatially adjacent, previously installed mini-solar photovoltaics. As apartment characteristics, four variables are selected to assess both within and between apartment complexes: one for the density of adopters as a within-complex variable and three for the number of adopters in the 500 m, 1 km, and 1.5 km radius of apartment complexes as between-complex variables. A major finding is that peer effects significantly contribute to the new adoption of mini-solar photovoltaics. Implications of this finding are discussed in an urban context.

Suggested Citation

  • Moon-Hyun Kim & Tae-Hyoung Tommy Gim, 2021. "Spatial Characteristics of the Diffusion of Residential Solar Photovoltaics in Urban Areas: A Case of Seoul, South Korea," IJERPH, MDPI, vol. 18(2), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:644-:d:479919
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    1. Arkesteijn, Karlijn & Oerlemans, Leon, 2005. "The early adoption of green power by Dutch households: An empirical exploration of factors influencing the early adoption of green electricity for domestic purposes," Energy Policy, Elsevier, vol. 33(2), pages 183-196, January.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, January.
    3. Briguglio, Marie & Formosa, Glenn, 2017. "When households go solar: Determinants of uptake of a Photovoltaic Scheme and policy insights," Energy Policy, Elsevier, vol. 108(C), pages 154-162.
    4. Parkins, John R. & Rollins, Curtis & Anders, Sven & Comeau, Louise, 2018. "Predicting intention to adopt solar technology in Canada: The role of knowledge, public engagement, and visibility," Energy Policy, Elsevier, vol. 114(C), pages 114-122.
    5. J. Richard Snape, 2016. "Spatial and Temporal Characteristics of PV Adoption in the UK and Their Implications for the Smart Grid," Energies, MDPI, vol. 9(3), pages 1-18, March.
    6. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK," Working Papers EPRG 1332, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Lee, Taehwa & Lee, Taedong & Lee, Yujin, 2014. "An experiment for urban energy autonomy in Seoul: The One ‘Less’ Nuclear Power Plant policy," Energy Policy, Elsevier, vol. 74(C), pages 311-318.
    8. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    9. Jayaweera, Nadeeka & Jayasinghe, Chathuri L. & Weerasinghe, Sandaru N., 2018. "Local factors affecting the spatial diffusion of residential photovoltaic adoption in Sri Lanka," Energy Policy, Elsevier, vol. 119(C), pages 59-67.
    10. Marcello Graziano & Kenneth Gillingham, 2015. "Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 815-839.
    11. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    12. Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.
    13. Varun Rai & Adam Douglas Henry, 2016. "Agent-based modelling of consumer energy choices," Nature Climate Change, Nature, vol. 6(6), pages 556-562, June.
    14. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. 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.
    16. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    17. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of solar Photovoltaic Technology in the UK," Cambridge Working Papers in Economics 1357, Faculty of Economics, University of Cambridge.
    18. Kwan, Calvin Lee, 2012. "Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States," Energy Policy, Elsevier, vol. 47(C), pages 332-344.
    19. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    20. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    21. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    22. Paul M. Kellstedt & Sammy Zahran & Arnold Vedlitz, 2008. "Personal Efficacy, the Information Environment, and Attitudes Toward Global Warming and Climate Change in the United States," Risk Analysis, John Wiley & Sons, vol. 28(1), pages 113-126, February.
    23. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    24. 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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    2. Fabrizio M. Amoruso & Thorsten Schuetze, 2023. "Carbon Life Cycle Assessment and Costing of Building Integrated Photovoltaic Systems for Deep Low-Carbon Renovation," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
    3. Li, Yanjiao & Qing, Chen & Guo, Shili & Deng, Xin & Song, Jiahao & Xu, Dingde, 2023. "When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China," Renewable Energy, Elsevier, vol. 203(C), pages 753-762.

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