Research ArticleArticles

When Energy Issues Are Land Use Issues: Estimating Preferences for Utility-Scale Solar Energy Siting

Vasundhara Gaur, Corey Lang, Gregory Howard and Ruth Quainoo
Land Economics, August 2023, 99 (3) 343-363; DOI: https://doi.org/10.3368/le.99.3.111221-0130R1

References

  1. ↵
    1. Abashidze, N.
    2019. Essays on Economic and Health Effects of Land Use Externalities. North Carolina State University. Available at https://repository.lib.ncsu.edu/handle/1840.20/38420.
  2. ↵
    1. Altonji, M.,
    2. C. Lang, and
    3. G. Puggioni
    . 2016. “Can Urban Areas Help Sustain the Preservation of Open Space? Evidence from Statewide Referenda.” Ecological Economics 130: 82–91. https://doi.org/10.1016/j.ecolecon.2016.06.026.
    OpenUrl
  3. ↵
    1. Best, S. J., and
    2. B. S. Krueger
    . 2012. Exit Polls: Surveying the American Electorate: 1972–2010. Washington, DC: SAGE/CQ Press.
  4. ↵
    1. Botelho, A.,
    2. L. Lourenço-Gomes,
    3. L. Pinto,
    4. S. Sousa, and
    5. M. Valente
    . 2017. “Accounting for Local Impacts of Photovoltaic Farms: The Application of Two Stated Preferences Approaches to a Case-Study in Portugal.” Energy Policy 109: 191–98. https://doi.org/10.1016/j.enpol.2017.06.065.
    OpenUrl
  5. ↵
    1. Boyle, K. J.,
    2. J. Boatwright,
    3. S. Brahma, and
    4. W. Xu
    . 2019. “NIMBY, Not, in Siting Community Wind Farms.” Resource and Energy Economics 57: 85–100. https://doi.org/10.1016/j.rese neeco.2019.04.004.
    OpenUrl
  6. ↵
    1. Carlisle, J. E.,
    2. S. L. Kane,
    3. D. Solan,
    4. M. Bowman, and
    5. J. C. Joe
    . 2015. “Public Attitudes Regarding Large-Scale Solar Energy Development in the U.S.” Renewable and Sustainable Energy Reviews 48: 835–47. https://doi.org/10.1016/j.rser.2015.04.047.
    OpenUrl
  7. ↵
    1. Carlisle, J. E.,
    2. S. L. Kane,
    3. D. Solan, and
    4. J. C. Joe
    . 2014. “Support for Solar Energy: Examining Sense of Place and Utility-Scale Development in California.” Energy Research and Social Science 3: 124–30. https://doi.org/10.1016/j.erss.2014.07.006.
    OpenUrl
  8. ↵
    1. Carson, R. T., and
    2. M. Czajkowski
    . 2019. “A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models.” Journal of Environmental Economics and Management 95: 57–61. https://doi.org/10.1016/j.jeem.2019.03.003.
    OpenUrl
  9. ↵
    1. Carson, R. T., and
    2. T. Groves
    . 2007. “Incentive and Informational Properties of Preference Questions.” Environmental and Resource Economics 37 (1): 181–210. https://doi.org/10.1007/s10640-007-9124-5.
    OpenUrlCrossRef
  10. ↵
    1. Carson, R. T.,
    2. T. Groves, and
    3. J. A. List
    . 2014. “Consequentiality: A Theoretical and Experimental Exploration of a Single Binary Choice.” Journal of the Association of Environmental and Resource Economists 1 (1–2): 171–207. https://doi.org/10.1086/676450.
    OpenUrlCrossRef
  11. ↵
    1. Chen, Z.,
    2. S. K. Swallow, and
    3. I. T. Yue
    . 2020. “Non-participation and Heterogeneity in Stated: A Double Hurdle Latent Class Approach for Climate Change Adaptation Plans and Ecosystem Services.” Environmental and Resource Economics 77 (1): 35–67. https://doi.org/10.1007/s10640-020-00434-z.
    OpenUrl
  12. ↵
    1. Czajkowski, M.,
    2. N. Hanley, and
    3. J. LaRiviere
    . 2016. “Controlling for the Effects of Information in a Public Goods Discrete Choice Model.” Environmental and Resource Economics 63 (3): 523–44. https://doi.org/10.1007/s10640-014-9847-z.
    OpenUrl
  13. ↵
    1. Davis, M.,
    2. C. Smith,
    3. B. White, B.,
    4. Goldstein, R.,
    5. Sun, X.,
    6. Cox, M.,
    7. Curtin, G.
    , et al. 2021. U.S. Solar Market Insight. New York: Wood Mackenzie and Solar Energy Industries Association.
  14. ↵
    1. Denholm, P., and
    2. R. M. Margoli
    . 2008. “Land-Use Requirements and the Per-Capita Solar Footprint for Photovoltaic Generation in the United States.” Energy Policy 36 (9): 3531–43. https://doi.org/10.1016/j.enpol.2008.05.035.
    OpenUrlCrossRefWeb of Science
  15. ↵
    1. DeShazo, J. R., and
    2. G. Fermo
    . 2002. “Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency.” Journal of Environmental Economics and Management 44 (1): 123–43. https://doi.org/10.1006/jeem.2001.1199.
    OpenUrlCrossRefWeb of Science
  16. ↵
    1. Devine-Wright, P.
    2009. “Rethinking NIMBYism: The Role of Place Attachment and Place Identity in Explaining Place-Protective Action.” Journal of Community and Applied Social Psychology 19 (6): 426–41. https://doi.org/10.1002/casp.1004.
    OpenUrlCrossRef
  17. ↵
    1. Dillman, D. A.,
    2. J. D. Smyth, and
    3. L. M. Christian
    . 2014. Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. New York: John Wiley and Sons.
  18. ↵
    1. Dröes, M. I., and
    2. H. R. A. Koster
    . 2021. “Wind Turbines, Solar Farms, and House Prices.” Energy Policy 155: 112327. https://doi.org/10.1016/j.enpol.2021.112327.
    OpenUrl
  19. ↵
    EIA (U.S. Energy Information Administration). 2019. “Annual Electric Power Industry Report, Form EIA-861: Detailed Data Files.” Washington, DC. Available at https://www.eia.gov/elec tricity/data/eia861/.
  20. ↵
    EIA (U.S. Energy Information Administration). 2021. “EIA Annual Energy Outlook 2021.” Washington, DC. Available at https://www.eia.gov/outlooks/aeo/.
  21. ↵
    1. Farhar, B. C.
    1994. “Trends in US Public Perceptions and Preferences on Energy and Environmental Policy.” Annual Review of Energy and the Environment 19 (1): 211–39. https://doi.org/10.1146/annurev.eg.19.110194.001235.
    OpenUrl
  22. ↵
    1. Farhar, B. C.,
    2. L. M. Hunter,
    3. T. M. Kirkland, and
    4. K. J. Tierney
    . 2010. Community Response to Concentrating Solar Power in the San Luis Valley: October 9, 2008–March 31, 2010 (NREL/SR-550-48041). Golden, CO: National Renewable Energy Lab. https://doi.org/10.2172/983406.
  23. ↵
    1. Fiebig, D. G.,
    2. M. P. Keane,
    3. J. Louviere, and
    4. N. Wasi
    . 2010. “The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity.” Marketing Science 29 (3): 393–421. https://doi.org/10.1287/mksc.1090.0508.
    OpenUrlCrossRefWeb of Science
  24. ↵
    1. Gaur, V., and
    2. C. Lang
    . 2023. “House of the Rising Sun: The Effect of Utility-Scale Solar Arrays on Housing Prices.” Energy Economics 106699. https://doi.org/10.1016/j.eneco.2023.106699.
  25. ↵
    1. Greenberg, M.
    2009. “Energy Sources, Public Policy, and Public Preferences: Analysis of US National and Site-Specific Data.” Energy Policy 37 (8): 3242–49. https://doi.org/10.1016/j.enpol.2009.04.020.
    OpenUrlCrossRefWeb of Science
  26. ↵
    1. Gross, S.
    2020. Renewables, Land Use, and Local Opposition in the United States. Washington, DC: Brookings Institution. Available at https://docs.wind-watch.org/FP_20200113_renew ables_land_use_local_opposition_gross.pdf.
  27. ↵
    1. Hensher, D.,
    2. J. Louviere, and
    3. J. Swait
    . 1998. “Combining Sources of Preference Data.” Journal of Econometrics 89 (1): 197–221. https://doi.org/10.1016/S0304-4076(98)00061-X.
    OpenUrlCrossRefWeb of Science
  28. ↵
    1. Herriges, J.,
    2. C. Kling,
    3. C.-C. Liu, and
    4. J. Tobias
    , J. 2010. “What Are the Consequences of Consequentiality?” Journal of Environmental Economics and Management 59 (1): 67–81. https://doi.org/10.1016/j.jeem.2009.03.004.
    OpenUrlCrossRef
  29. ↵
    1. Hole, A. R.
    2017. “DCREATE: Stata Module to Create Efficient Designs for Discrete Choice Experiments.” In Statistical Software Components. Boston: Boston College Department of Economics. Available at https://ideas.repec.org/c/boc/bocode/s458059.html.
  30. ↵
    1. Irwin, E. G.
    2002. “The Effects of Open Space on Residential Property Values.” Land Economics 78 (4): 465–80. https://doi.org/10.2307/3146847.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Jacobe, D.
    2013, March 27. “Americans Want More Emphasis on Solar, Wind, Natural Gas.” Gallup. Available at https://news.gallup.com/poll/161519/americans-emphasis-solar-wind-natural-gas.aspx.
  32. ↵
    1. Jarvis, S.
    2021. “The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects.” Working paper. London: London School of Economics and Political Science. Available at http://eprints.lse.ac.uk/113653/1/Jarvis_the_economic_costs_of_nimbyism_published.pdf.
  33. ↵
    1. Jin, J.,
    2. R. He,
    3. W. Wang, and
    4. H. Gong
    . 2018. “Valuing Cultivated Land Protection: A Contingent Valuation and Choice Experiment Study in China.” Land Use Policy 74: 214–19. https://doi.org/10.1016/j.landusepol.2017.09.023.
    OpenUrl
  34. ↵
    1. Kim, K. J.,
    2. H. Lee, and
    3. Y. Koo
    . 2020. “Research on Local Acceptance Cost of Renewable Energy in South Korea: A Case Study of Photovoltaic and Wind Power Projects.” Energy Policy 144: 111684. https://doi.org/10.1016/j.enpol.2020.111684.
    OpenUrl
  35. ↵
    1. Knight, P.,
    2. C. Odom,
    3. E. Camp,
    4. D. Bhandari, and
    5. J. Frost
    . 2020. Solar Siting Opportunities for Rhode Island: An Analysis of Potentials and Costs of Rooftop, Landfill, Gravel Pit, Brownfield, Commercial and Industrial Ground-Mounted and Carport Solar. Report prepared for Rhode Island Office of Energy Resources. Synapse Energy Economics. Available at http://www.energy.ri.gov/documents/renewable/Solar%20Siting%20Opportunities%20for%20Rhode%20Island.pdf.
  36. ↵
    1. Kuffner, A.
    2018, March 16. “Worry over Solar Sprawl Spreads across Rhode Island.” Providence Journal. Available at https://www.providencejournal.com/news/20180316/worry-over-solar-sprawl-spreads-across-rhode-island.
  37. ↵
    1. Lang, C.
    2018. “Assessing the Efficiency of Local Open Space Provision.” Journal of Public Economics 158: 12–24. https://doi.org/10.1016/j.jpubeco.2017.12.007.
    OpenUrl
  38. ↵
    1. Lang, C., and
    2. P. Cavanagh
    . 2018. “Incomplete Information and Adverse Impacts of Environmental Cleanup.” Land Economics 94 (3): 386–404. https://doi.org/10.3368/le.94.3.386.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Lang, C., and
    2. S. Pearson-Merkowitz
    . 2022. “Aggregate Data Yield Biased Estimates of Voter Preferences.” Journal of Environmental Economics and Management 111: 102604. https://doi.org/10.1016/j.jeem.2021.102604.
    OpenUrl
  40. ↵
    1. Lehtonen, E.,
    2. J. Kuuluvainen,
    3. E. Pouta,
    4. M. Rekola, and
    5. C.-Z. Li
    . 2003. “Non-market Benefits of Forest Conservation in Southern Finland.” Environmental Science and Policy 6 (3): 195–204. https://doi.org/10.1016/S1462-9011(03)00035-2.
    OpenUrl
  41. ↵
    1. Louviere, J. J.
    2001. “What If Consumer Experiments Impact Variances as Well as Means? Response Variability as a Behavioral Phenomenon.” Journal of Consumer Research 28 (3): 506–11. https://doi.org/10.1086/323739.
    OpenUrlCrossRef
  42. ↵
    1. Louviere, J.,
    2. D. Street,
    3. R. Carson,
    4. A. Ainslie,
    5. J. R. Deshazo,
    6. T. Cameron,
    7. D. Hensher,
    8. R. Kohn, and
    9. T. Marley
    . 2002. “Dissecting the Random Component of Utility.” Marketing Letters 13 (3): 177–93. https://doi.org/10.1023/A:1020258402210.
    OpenUrl
  43. ↵
    1. Lovich, J. E., and
    2. J. R. Ennen
    . 2011. “Wildlife Conservation and Solar Energy Development in the Desert Southwest, United States.” BioScience 61 (12): 982–92. https://doi.org/10.1525/bio.2011.61.12.8.
    OpenUrlCrossRefWeb of Science
  44. ↵
    1. Mamkhezri, J.,
    2. J. A. Thacher, and
    3. J. M. Chermak
    . 2020. “Consumer Preferences for Solar Energy: A Choice Experiment Study.” Energy Journal 41 (5). http://dx.doi.org.10.5547/01956574.41.5.jmam.
    1. Mamkhezri, J.,
    2. J. A. Thacher,
    3. J. M. Chermak, and
    4. R. P. Berrens
    . 2020. “Does the Solemn Oath Lower WTP Responses in a Discrete Choice Experiment Application to Solar Energy?” Journal of Environmental Economics and Policy 9 (4): 447–73. https://doi.org/10.1080/21606544.2020.1738276.
    OpenUrl
  46. ↵
    Massachusetts Department of Energy Resources. 2021. Building a Brighter Future for Massachusetts. Available at https://masmartsolar.com/ (accessed April 17, 2021).
  47. ↵
    1. McDonald, J.,
    2. B. MacInnis, and
    3. J. A. Krosnick
    . 2020. Climate Insights 2020: Opinion in the States. Washington, DC: Resources for the Future. Available at https://media.rff.org/documents/Climate_Insights_2020_Opinion_in_the_States.pdf.
  48. ↵
    1. McFadden, D.
    1974. “Conditional Logit Analysis of Qualitative Choice Behavior.” In Frontiers in Economics, edited by Paul Zarembka, 105–42. New York: Academic Press. Available at https://eml.berkeley.edu/reprints/mcfadden/zarembka.pdf.
  49. ↵
    1. McMaster, H. S.,
    2. C. A. LeardMann,
    3. S. Speigle,
    4. D. A. Dillman,
    5. V. Stander,
    6. J. Pflieger,
    7. C. Carballo
    , et al. 2017. “An Experimental Comparison of Web-Push vs. Paper-Only Survey Procedures for Conducting an In-Depth Health Survey of Military Spouses.” BMC Medical Research Methodology 17 (1): 73. https://doi.org/10.1186/s12874-017-0337-1.
    OpenUrl
  50. ↵
    1. Millar, M. M., and
    2. D. A. Dillman
    . 2011. “Improving Response to Web and Mixed-Mode Surveys.” Public Opinion Quarterly 75 (2): 249–69. https://doi.org/10.1093/poq/nfr003.
    OpenUrlCrossRefWeb of Science
  51. ↵
    1. Nilson, R. S., and
    2. R. C. Stedman
    . 2022. “Are Big and Small Solar Separate Things?: The Importance of Scale in Public Support for Solar Energy Development in Upstate New York.” Energy Research and Social Science 86: 102449. https://doi.org/10.1016/j.erss.2021.102449.
    OpenUrl
  52. ↵
    1. Oehlmann, M.,
    2. K. Glenk,
    3. P. Lloyd-Smith, and
    4. J. Meyerhoff
    . 2021. “Quantifying Landscape Externalities of Renewable Energy Development: Implications of Attribute Cut-Offs in Choice Experiments.” Resource and Energy Economics 65: 101240. https://doi.org/10.1016/j.rese neeco.2021.101240.
    OpenUrl
  53. ↵
    1. Ong, S.,
    2. C. Campbell,
    3. P. Denholm,
    4. R. Margolis, and
    5. G. Heath
    . 2013. Land-Use Requirements for Solar Power Plants in the United States. NREL/TP-6A20-56290, 1086349. Washington, DC: Department of Energy. https://doi.org/10.2172/1086349.
  54. ↵
    Pew Research Center. 2019. “U.S. Public Views on Climate and Energy.” Available at https://www.pewresearch.org/science/2019/11/25/u-s-public-views-on-climate-and-energy/.
  55. ↵
    Pew Research Center. 2020. “Two-Thirds of Americans Think Government Should Do More on Climate.” Available at https://www.pewresearch.org/science/2020/06/23/two-thirds-of-americans-think-government-should-do-more-on-climate/.
  56. ↵
    1. Qi, L., and
    2. Y. Zhang
    . 2017. “Effects of Solar Photovoltaic Technology on the Environment in China.” Environmental Science and Pollution Research 24 (28): 22133–42. https://doi.org/10.1007/s11356-017-9987-0.
    OpenUrl
  57. ↵
    RIPUC (Public Utilities Commission and Division of Public Utilities and Carriers). 2021. “Docket No. 5088: Renewable Energy Growth (RE Growth) Program Year 2021 Submitted by the Rhode Island Distributed Generation Board’s (DG Board) and the Narragansett Electric Co. D/b/a National Grid.” Available at http://www.ripuc.ri.gov/eventsactions/docket/5088page.html (accessed April 17, 2021).
  58. ↵
    1. Shoyama, K.,
    2. S. Managi, and
    3. Y. Yamagata
    . 2013. “Public Preferences for Biodiversity Conservation and Climate-Change Mitigation: A Choice Experiment Using Ecosystem Services Indicators.” Land Use Policy 34: 282–93. https://doi.org/10.1016/j.landusepol.2013.04.003.
    OpenUrl
  59. ↵
    1. Train, K., and
    2. M. Weeks
    . 2005. “Discrete Choice Models in Preference Space and Willingness-to-Pay Space.” In Applications of Simulation Methods in Environmental and Resource Economics, edited by R. Scarpa and A. Alberini, 1–16. Dordrecht, Netherlands: Springer. https://doi.org/10.1007/1-4020-3684-1_1.
  60. ↵
    1. Trainor, A. M.,
    2. R. I. McDonald, and
    3. J. Fargione
    . 2016. “Energy Sprawl Is the Largest Driver of Land Use Change in United States.” PLoS ONE 11(9): e0162269. https://doi.org/10.1371/jour nal.pone.0162269.
    OpenUrl
  61. ↵
    1. Tsoutsos, T.,
    2. N. Frantzeskaki, and
    3. V. Gekas
    . 2005. “Environmental Impacts from the Solar Energy Technologies.” Energy Policy 33 (3): 289–96. https://doi.org/10.1016/S0301-4215(03)00241-6.
    OpenUrlCrossRefWeb of Science
  62. ↵
    1. Turney, D., and
    2. V. Fthenakis
    . 2011. “Environmental Impacts from the Installation and Operation of Large-Scale Solar Power Plants.” Renewable and Sustainable Energy Reviews 15 (6): 3261–70. https://doi.org/10.1016/j.rser.2011.04.023.
    OpenUrl
  63. ↵
    1. von Haefen, R. H.,
    2. D. M. Massey, and
    3. W. L. Adamowicz
    . 2005. “Serial Nonparticipation in Repeated Discrete Choice Models.” American Journal of Agricultural Economics 87 (4): 1061–76. https://doi.org/10.1111/j.1467-8276.2005.00794.x.
    OpenUrlCrossRefWeb of Science
  64. ↵
    1. Vossler, C. A., and
    2. S. B. Watson
    . 2013. “Understanding the Consequences of Consequentiality: Testing the Validity of Stated Preferences in the Field.” Journal of Economic Behavior and Organization 86: 137–47. https://doi.org/10.1016/j.jebo.2012.12.007.
    OpenUrlCrossRef
  65. ↵
    1. Yang, H.-J.,
    2. S.-Y. Lim, and
    3. S.-H. Yoo
    . 2017. “The Environmental Costs of Photovoltaic Power Plants in South Korea: A Choice Experiment Study.” Sustainability 9 (10): 1773. https://doi.org/10.3390/su9101773.
    OpenUrl
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When Energy Issues Are Land Use Issues: Estimating Preferences for Utility-Scale Solar Energy Siting
Vasundhara Gaur, Corey Lang, Gregory Howard, Ruth Quainoo
Land Economics Aug 2023, 99 (3) 343-363; DOI: 10.3368/le.99.3.111221-0130R1
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