IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/2566.html
   My bibliography  Save this paper

Spatial-Neighbour Effects in the Installation of Solar Photovoltaic Technology in England and Wales

Author

Listed:
  • Moura, B.
  • Pollitt, M. G.

Abstract

This article investigates spatial-neighbour effects in the deployment of small-scale solar photovoltaic (PV) systems, examining whether the installation rate in a given area is affected by the quantity of nearby solar PV systems. We study 1.4 million solar PV systems in England and Wales, analysing installations over the period 2010 – 2024. The results from 2010–2015 reveal that an additional solar PV system in a local authority is associated with an additional 0.128 installations 3 months later, suggesting a positive role of peer effects and observational learning. In contrast, from 2016–2024, spatial-neighbour effects are instead found to be negative, indicating saturation amongst the households likely to adopt solar PV. We further show that, by contrast, heat pumps do not exhibit any spatial-neighbour effects and that the collective buying scheme Solar Together did not appear to increase installations in the period 2015–2020.

Suggested Citation

  • Moura, B. & Pollitt, M. G., 2025. "Spatial-Neighbour Effects in the Installation of Solar Photovoltaic Technology in England and Wales," Cambridge Working Papers in Economics 2566, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:2566
    as

    Download full text from publisher

    File URL: https://www.econ.cam.ac.uk/sites/default/files/publication-cwpe-pdfs/cwpe2566.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    2. 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.
    3. Zhang, Yu & Song, Junghyun & Hamori, Shigeyuki, 2011. "Impact of subsidy policies on diffusion of photovoltaic power generation," Energy Policy, Elsevier, vol. 39(4), pages 1958-1964, April.
    4. Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick & Steven Sexton, 2022. "Visibility and Peer Influence in Durable Good Adoption," Marketing Science, INFORMS, vol. 41(3), pages 453-476, May.
    5. Shandelle Steadman & Anna Rita Bennato & Monica Giulietti, 2023. "From energy consumers to prosumers: the role of peer effects in the diffusion of residential microgeneration technology," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(2), pages 321-346, June.
    6. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    7. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    8. 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.
    9. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    10. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    11. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
    12. Kimberly S. Wolske & Kenneth T. Gillingham & P. Wesley Schultz, 2020. "Peer influence on household energy behaviours," Nature Energy, Nature, vol. 5(3), pages 202-212, March.
    13. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
    14. 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.
    15. 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.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
    2. Morrissey, Karyn & Scheller, Fabian, 2024. "It takes a village: The role of community attributes in shaping solar photovoltaic adoption intention in Germany," Renewable Energy, Elsevier, vol. 237(PA).
    3. Collier, Samuel H.C. & House, Jo I. & Connor, Peter M. & Harris, Richard, 2023. "Distributed local energy: Assessing the determinants of domestic-scale solar photovoltaic uptake at the local level across England and Wales," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Sieger, Lisa & Weber, Christoph & Stein, Tobias, 2025. "Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany," VfS Annual Conference 2025 (Cologne): Revival of Industrial Policy 325393, Verein für Socialpolitik / German Economic Association.
    5. Min, Yohan & Ko, Inhwan, 2023. "Causal effects of place, people, and process on rooftop solar adoption through Bayesian inference," Energy, Elsevier, vol. 285(C).
    6. Carattini, Stefano & Gillingham, Kenneth & Meng, Xiangyu & Yoeli, Erez, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 340-370.
    7. Falk, Martin Thomas & Hagsten, Eva, 2025. "The impact of rising electricity prices on demand for photovoltaic solar systems," Energy Economics, Elsevier, vol. 147(C).
    8. Rode, Johannes & Müller, Sven, 2016. "Spatio-Temporal Variation in Peer Effects - The Case of Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84765, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Lan, Haifeng & Gou, Zhonghua & Lu, Yi, 2021. "Machine learning approach to understand regional disparity of residential solar adoption in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    10. Gabriel S. Sampson & Edward D. Perry, 2019. "Peer effects in the diffusion of water‐saving agricultural technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 693-706, November.
    11. Pronti, A. & Zoboli, R., 2024. "Something new under the sun. A spatial econometric analysis of the adoption of photovoltaic systems in Italy," Energy Economics, Elsevier, vol. 134(C).
    12. 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.
    13. Balta-Ozkan, Nazmiye & Le Gallo, Julie, 2018. "Spatial variation in energy attitudes and perceptions: Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2160-2180.
    14. Sampson, Gabriel & Perry, Edward & Hendricks, Nathan P., "undated". "The Role of Peer Effects in Resource Extraction - The Case of Kansas Groundwater," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258286, Agricultural and Applied Economics Association.
    15. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
    16. Paul Simshauser & Tim Nelson & Joel Gilmore, 2022. "The sunshine state: implications from mass rooftop solar PV take-up rates in Queensland," Working Papers EPRG2219, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    17. Qiu, Shoufeng & Wu, Xiangyou & Lin, Boqiang & Lin, Ping, 2025. "Factors on regional installations of residential photovoltaics in China," Energy, Elsevier, vol. 316(C).
    18. San-Martín, Enrique & Elizalde, Patxi, 2024. "Determinants of rooftop solar uptake: A comparative analysis of the residential and non-residential sectors in the Basque Country (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    19. Germeshausen, Robert, 2016. "Effects of Attribute-Based Regulation on Technology Adoption - The Case of Feed-In Tariffs for Solar Photovoltaic," VfS Annual Conference 2016 (Augsburg): Demographic Change 145712, Verein für Socialpolitik / German Economic Association.
    20. 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).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cam:camdae:2566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.