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Determinants of Residential Solar Photovoltaic Adoption

Author

Listed:
  • Makena Coffman

    (Department of Urban and Regional Planning, University of Hawaii at Manoa; UHERO)

  • Scott F. Allen

    (Department of Urban and Regional Planning, University of Hawaii at Manoa)

  • Sherilyn Wee

    (UHERO)

Abstract

Hawaii is a leader in distributed solar photovoltaic (PV) adoption. It has the highest rate of PV-based electricity penetration in the U.S. and rivals global front runners. The policy impetus towards large-scale adoption of renewable energy comes from the Renewable Portfolio Standard, with a target of 40% net electricity sales from renewable sources by the year 2030 and 100% by 2045. Rooftop PV provides the largest share of renewable energy in Hawaii’s electricity generation portfolio. This study analyzes demographic factors related to residential PV system adoption in Hawaii. It provides an econometric analysis, augmented by maps, to better understand the demographic characteristics of households adopting PV systems. Understanding drivers of past uptake is important to gaining insight into future trends, particularly as Hawaii continues towards its 2045 RPS goal.

Suggested Citation

  • Makena Coffman & Scott F. Allen & Sherilyn Wee, 2018. "Determinants of Residential Solar Photovoltaic Adoption," Working Papers 2018-1, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    • Handle: RePEc:hae:wpaper:2018-1
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    File URL: https://uhero.hawaii.edu/wp-content/uploads/2019/08/WP_2018-1.pdf
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    References listed on IDEAS

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    1. Coffman, Makena & Wee, Sherilyn & Bonham, Carl & Salim, Germaine, 2016. "A policy analysis of Hawaii's solar tax credit," Renewable Energy, Elsevier, vol. 85(C), pages 1036-1043.
    2. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
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    Cited by:

    1. Lukanov, Boris R. & Krieger, Elena M., 2019. "Distributed solar and environmental justice: Exploring the demographic and socio-economic trends of residential PV adoption in California," Energy Policy, Elsevier, vol. 134(C).
    2. 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).
    3. Fikru, Mahelet G., 2020. "Determinants of electricity bill savings for residential solar panel adopters in the U.S.: A multilevel modeling approach," Energy Policy, Elsevier, vol. 139(C).

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