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Consumer Preferences for Solar Energy: A Choice Experiment Study

Author

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  • 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
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    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 9780521747387.
    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. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    16. 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.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
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    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).

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