IDEAS home Printed from https://ideas.repec.org/p/hae/wpaper/2018-1.html

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
    as

    Download full text from publisher

    File URL: https://uhero.hawaii.edu/wp-content/uploads/2019/08/WP_2018-1.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    4. Lakash Kumar Shakya & Niranjan Devkota & Krishna Dhakal & Ramhari Poudyal & Surendra Mahato & Udaya Raj Paudel & Seeprata Parajuli, 2025. "Consumer's behavioural intention towards adoption of e-bike in Kathmandu valley: structural equation modelling analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 16237-16265, July.

    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. Stewart, Fraser, 2022. "Friends with benefits: How income and peer diffusion combine to create an inequality “trap” in the uptake of low-carbon technologies," Energy Policy, Elsevier, vol. 163(C).
    2. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
    3. Cardol, Hanna & Mignon, Ingrid & Lantz, Björn, 2025. "Rethinking the forecasting of innovation diffusion: A combined actor- and system approach," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
    4. 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).
    5. 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.
    6. Seel, Joachim & Barbose, Galen L. & Wiser, Ryan H., 2014. "An analysis of residential PV system price differences between the United States and Germany," Energy Policy, Elsevier, vol. 69(C), pages 216-226.
    7. Irfan, Mohd & Yadav, Sarvendra & Shaw, Krishnendu, 2021. "The adoption of solar photovoltaic technology among Indian households: Examining the influence of entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    8. Shijie Lu & Xin (Shane) Wang & Neil Bendle, 2020. "Does Piracy Create Online Word of Mouth? An Empirical Analysis in the Movie Industry," Management Science, INFORMS, vol. 66(5), pages 2140-2162, May.
    9. Bauwens, Thomas, 2019. "Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders," Energy Policy, Elsevier, vol. 129(C), pages 841-852.
    10. Rhys Murrian & Paul A. Raschky & Klaus Ackermann, 2024. "Friends, Key Players and the Adoption and Use of Experience Goods," Monash Economics Working Papers 2024-17, Monash University, Department of Economics.
    11. Shuo Shi & Lu Zhang & Guohua Wang, 2023. "Bridging the Digital Divide: Internet Use of Older People from the Perspective of Peer Effects," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    12. Alexandra E. Hill & Jesse Burkhardt, 2021. "Peers in the Field: The Role of Ability and Gender in Peer Effects among Agricultural Workers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 790-811, May.
    13. Evangelia Karasmanaki & Spyridon Galatsidas & Georgios Tsantopoulos, 2019. "An Investigation of Factors Affecting the Willingness to Invest in Renewables among Environmental Students: A Logistic Regression Approach," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    14. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    15. Filippini, Massimo & Srinivasan, Suchita, 2019. "Impact of religious participation, social interactions and globalization on meat consumption: Evidence from India," Energy Economics, Elsevier, vol. 84(S1).
    16. 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.
    17. Todd Gerarden & Mar Reguant & Daniel Yi Xu, 2025. "The Role of Industrial Policy in the Renewable Energy Sector," NBER Chapters, in: Environmental and Energy Policy and the Economy, volume 7, National Bureau of Economic Research, Inc.
    18. Farrell, Niall, 2023. "Policy design for green hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    19. Costa, Dora L. & Kahn, Matthew E., 2013. "Do liberal home owners consume less electricity? A test of the voluntary restraint hypothesis," Economics Letters, Elsevier, vol. 119(2), pages 210-212.
    20. Stefano Carattini & Simon Levin & Alessandro Tavoni, 2019. "Cooperation in the Climate Commons," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(2), pages 227-247.

    More about this item

    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:hae:wpaper:2018-1. 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: UHERO (email available below). General contact details of provider: https://edirc.repec.org/data/heuhius.html .

    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.