IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v155y2026ics014098832600054x.html

The impacts of community solar projects on housing prices: Evidence from Maryland, the U.S

Author

Listed:
  • Gao, Yu
  • Qiu, Yueming
  • Zhao, Xiaoli
  • Liu, Pengfei
  • Lu, Bin

Abstract

Community solar projects (CSPs) lower the cost threshold of residents' access to clean solar energy, especially for the low- and middle-income households and disadvantaged communities with low homeownership rates, and contribute to advancing renewable energy utilization in the broader public and reducing more household carbon emissions. While the impacts of solar farms and rooftop photovoltaic systems on local property prices are well-documented, the effects of CSPs remain largely unexplored. This paper provides empirical evidence on the impact of CSPs on nearby housing prices in Maryland based on multiple approaches, including a hedonic price model with fixed effects, propensity score matching, instrumental variable, and difference-in-differences methods. We find that CSPs are associated with a 1.8–2.1% average increase in surrounding housing prices, with stronger effects in urban regions, Democratic-leaning regions, regions with higher income and education levels, and near large-scale CSPs and CSPs built on brownfield. These findings reveal that CSPs can generate synergistic economic, social, and environmental benefits, highlighting their role as a promising mechanism for promoting renewable energy utilization and global sustainable development goals while enhancing community well-being. For policymakers and investors, integrating CSPs into broader sustainable development strategies and considering these local preferences can help expand CSP development, facilitate solar energy access among broader communities, and contribute to global sustainable development goals.

Suggested Citation

  • Gao, Yu & Qiu, Yueming & Zhao, Xiaoli & Liu, Pengfei & Lu, Bin, 2026. "The impacts of community solar projects on housing prices: Evidence from Maryland, the U.S," Energy Economics, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:eneeco:v:155:y:2026:i:c:s014098832600054x
    DOI: 10.1016/j.eneco.2026.109175
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832600054X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2026.109175?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:eneeco:v:155:y:2026:i:c:s014098832600054x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.