IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v41y2020i5p157-184.html
   My bibliography  Save this article

Consumer Preferences for Solar Energy: A Choice Experiment Study

Author

Listed:
  • Jamal Mamkhezri
  • Jennifer A. Thacher
  • Janie M. Chermak

Abstract

Electricity generation in the United States is rapidly moving towards integrating more renewables into the system due to several factors, including cost competitiveness, consumer preferences, and state and federal policies, such as production and income tax incentives, renewable portfolio standards (RPSs), and state level subsidies for solar energy. While these policies have been researched comprehensively, in this paper we investigate consumer preference and willingness to pay toward renewable energy. Consumer preferences may impact the type of renewable energy utilized, as well as state-determined RPS requirements. We implement a choice experiment survey to gain understanding of consumer preferences and their preference heterogeneity. We conduct the survey in New Mexico, a state with RPS and great potential for renewables, particularly in solar where it ranks third in the U.S. for that potential. Focusing on the consumers of the state’s major utility, our choice experiment considers an increase in renewable energy and preference for different types of solar energy (rooftop solar and solar farm). We control for location heterogeneity (i.e., rural vs. urban), as well as exposure to solar installations. Utilizing multinomial logit and random parameter logit our results suggest respondents support an increased RPS solar requirement and they have a positive marginal willingness to pay (MWTP) for rooftop solar and smart meter installation. These values are impacted by several factors, including location and exposure to solar. We also observe a distance decay effect on respondents’ MWTP for different solar plans. For regulators considering additional RPS levels, or utilities considering solar installations, the results provide improved information on consumer preferences, heterogeneity of response, and MWTP for solar energy.

Suggested Citation

  • Jamal Mamkhezri & Jennifer A. Thacher & Janie M. Chermak, 2020. "Consumer Preferences for Solar Energy: A Choice Experiment Study," The Energy Journal, , vol. 41(5), pages 157-184, September.
  • Handle: RePEc:sae:enejou:v:41:y:2020:i:5:p:157-184
    DOI: 10.5547/01956574.41.5.jmam
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.41.5.jmam
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.41.5.jmam?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Carley, Sanya, 2009. "State renewable energy electricity policies: An empirical evaluation of effectiveness," Energy Policy, Elsevier, vol. 37(8), pages 3071-3081, August.
    2. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    3. Shrimali, Gireesh & Kniefel, Joshua, 2011. "Are government policies effective in promoting deployment of renewable electricity resources?," Energy Policy, Elsevier, vol. 39(9), pages 4726-4741, September.
    4. Meldrum, James R., 2015. "Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen," Ecological Economics, Elsevier, vol. 120(C), pages 13-22.
    5. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
    6. Barbose, Galen & Wiser, Ryan & Heeter, Jenny & Mai, Trieu & Bird, Lori & Bolinger, Mark & Carpenter, Alberta & Heath, Garvin & Keyser, David & Macknick, Jordan & Mills, Andrew & Millstein, Dev, 2016. "A retrospective analysis of benefits and impacts of U.S. renewable portfolio standards," Energy Policy, Elsevier, vol. 96(C), pages 645-660.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    8. Charlotte von Möllendorff & Heinz Welsch, 2017. "Measuring Renewable Energy Externalities: Evidence from Subjective Well-being Data," Land Economics, University of Wisconsin Press, vol. 93(1), pages 109-126.
    9. Takanori Ida & Kayo Murakami & Makoto Tanaka, 2012. "Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles," Discussion papers e-11-011, Graduate School of Economics Project Center, Kyoto University.
    10. Michela Faccioli & Mikołaj Czajkowski & Klaus Glenk & Julia Martin-Ortega, 2018. "Environmental attitudes and place identity as simultaneous determinants of preferences for environmental goods," Working Papers 2018-08, Faculty of Economic Sciences, University of Warsaw.
    11. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    12. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    13. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth, 2019. "Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 10(1-2), pages 1-144, January.
    14. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    15. Brown, Jason P. & Coupal, Roger & Hitaj, Claudia & Kelsey, Timothy W. & Krannich, Richard S. & Xiarchos, Irene M., 2017. "New Dynamics in Fossil Fuel and Renewable Energy for Rural America," USDA Miscellaneous 260676, United States Department of Agriculture.
    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. Walter, Kara A. & Thacher, Jennifer & Chermak, Janie M., 2023. "Examining willingness to pay for energy futures in a fossil and renewable energy-rich locale," Energy Policy, Elsevier, vol. 181(C).
    2. Alina Wilke & Zhiwei Shen & Matthias Ritter, 2021. "How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin," Energies, MDPI, vol. 14(17), pages 1-20, September.
    3. Jamal Mamkhezri & Leonard A. Malczynski & Janie M. Chermak, 2021. "Assessing the Economic and Environmental Impacts of Alternative Renewable Portfolio Standards: Winners and Losers," Energies, MDPI, vol. 14(11), pages 1-23, June.
    4. Mohsen Khezri & Mohammad Sharif Karimi & Jamal Mamkhezri & Reza Ghazal & Larry Blank, 2022. "Assessing the Impact of Selected Determinants on Renewable Energy Sources in the Electricity Mix: The Case of ASEAN Countries," Energies, MDPI, vol. 15(13), pages 1-15, June.
    5. Olivier Beaumais & Romain Crastes Dit Sourd & Dimitri Laroutis & Patrice Lepelletier & Salima Taibi-Hassani, 2022. "Consumer awareness of renewable energy and willingness-to-pay for energy transition in France: the less you know, the less you pay? Evidence from a discrete choice experiment," Post-Print hal-04435149, HAL.
    6. Hui Dai & Jamal Mamkhezri & Noman Arshed & Anam Javaid & Sultan Salem & Yousaf Ali Khan, 2022. "Role of Energy Mix in Determining Climate Change Vulnerability in G7 Countries," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    7. Małgorzata Rutkowska & Paweł Bartoszczuk & Uma Shankar Singh, 2021. "Management of Green Consumer Values in Renewable Energy Sources and Eco Innovation in India," Energies, MDPI, vol. 14(21), pages 1-17, October.
    8. Agarwal, Ankit & Canfield, Casey & Fikru, Mahelet G., 2024. "Role of greener default options on consumer preferences for renewable energy procurement," Renewable Energy, Elsevier, vol. 221(C).
    9. Uma Shankar Singh & Małgorzata Rutkowska & Paweł Bartoszczuk, 2022. "Renewable Energy Decision Criteria on Green Consumer Values Comparing Poland and India Aligned with Environment Policy for Sustainable Development," Energies, MDPI, vol. 15(14), pages 1-26, July.
    10. Agnieszka Izabela Baruk & Anna Goliszek, 2022. "The Associations of Young Poles with Green Energy in the Context of Self-Assessment of Their Relevant Knowledge and the Importance Attached to the Energy Sources Used," Energies, MDPI, vol. 15(19), pages 1-18, September.
    11. Uz, Dilek & Mamkhezri, Jamal, 2024. "Household willingness to pay for various attributes of residential solar panels: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 130(C).

    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. Groh, Elke D., 2022. "Exposure to wind turbines, regional identity and the willingness to pay for regionally produced electricity," Resource and Energy Economics, Elsevier, vol. 70(C).
    2. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? – Understanding German consumers’ willingness to pay for green electricity tariff attributes," Department of Agricultural and Rural Development (DARE) Discussion Papers 260771, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    3. Welsch, Heinz, 2016. "Electricity Externalities, Siting, and the Energy Mix: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 10(1), pages 57-94, November.
    4. Uz, Dilek & Mamkhezri, Jamal, 2024. "Household willingness to pay for various attributes of residential solar panels: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 130(C).
    5. MacDonald, Scott & Eyre, Nick, 2018. "An international review of markets for voluntary green electricity tariffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 180-192.
    6. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    7. Yushi Kunugi & Toshi H. Arimura & Miwa Nakai, 2021. "The Long-Term Impact of Wind Power Generation on a Local Community: Economics Analysis of Subjective Well-Being Data in Chōshi City," Energies, MDPI, vol. 14(13), pages 1-18, July.
    8. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    9. Zhao, Xiaoli & Cai, Qiong & Li, Shujie & Ma, Chunbo, 2018. "Public preferences for biomass electricity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 242-253.
    10. Masako Numata & Masahiro Sugiyama & Wunna Swe & Daniel del Barrio Alvarez, 2021. "Willingness to Pay for Renewable Energy in Myanmar: Energy Source Preference," Energies, MDPI, vol. 14(5), pages 1-17, March.
    11. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    12. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    13. Martínez-Cruz, Adán L. & Núñez, Héctor M., 2021. "Tension in Mexico's energy transition: Are urban residential consumers in Aguascalientes willing to pay for renewable energy and green jobs?," Energy Policy, Elsevier, vol. 150(C).
    14. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    15. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    16. Meles, Tensay Hadush & Ryan, Lisa & Mukherjee, Sanghamitra C., 2022. "Heterogeneity in preferences for renewable home heating systems among Irish households," Applied Energy, Elsevier, vol. 307(C).
    17. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    18. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.
    19. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    20. Christian Pfarr & Andreas Schmid & Morten Raun Mørkbak, 2018. "Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 270-294, June.

    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:sae:enejou:v:41:y:2020:i:5:p:157-184. 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: SAGE Publications (email available below). General contact details of provider: .

    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.