Solar energy and behavioral economics: the Solar City case

Authors

DOI:

https://doi.org/10.5902/1414650968215

Keywords:

Solar energy, SolarCity, Behavioral economics

Abstract

Distributed solar energy plays a prominent role in the current energy transition process. There are, however, factors that may limit the expansion speed in adoption of solar energy. One first factor has to do with the lack of financial capacity to acquire the photovoltaic system. A second factor is related to consumers´ rationality in decision making. Classical economists assume rationality as the standard decision making behavior. Behavioral economists have provided evidence, however, of the occurrence of systematic and predictable behavioral biases in judgment and decision making. This research addresses the case of the company SolarCity, leader in the distributed solar market in the USA between 2010 and 2016. The goal of the study is to identify possible behavioral barriers to the diffusion process in the adoption of solar photovoltaic systems and to evaluate the effectiveness of the business model implemented by the company in neutralizing these barriers. The SolarCity business model, with the strategy of creating solar communities and adopting a monthly payment structure, has proved to be consistent with two types of intervention to neutralize these barriers: the use of social influences and mechanisms to neutralize the present bias and aversion to losses.

Downloads

Download data is not yet available.

Author Biographies

Helder Queiroz Pinto Junior, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil

Possui graduação em Economia pela Universidade Federal do Rio de Janeiro (1984), mestrado em Planejamento Energético pela COPPE/Universidade Federal do Rio de Janeiro (1988) e doutorado em Economia Aplicada pelo Institut d´Economie et Politique de l´Energie/Université de Grenoble/França(1993). Entre janeiro-novembro de 2001, foi Professor Visitante na University of Oxford (Centre for Brazilian Studies). Atualmente é professor associado 4 do Instituto de Economia (IE)/Universidade Federal do Rio de Janeiro e Coordenador do Grupo de Economia da Energia do IE/UFRJ. Tem trabalhos na área de Economia, com ênfase em Organização Industrial, Economia da Energia e Regulação Econômica. Entre 2011-2015 foi Diretor da Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP) e Membro do Comitê de monitoramento do Setor Elétrico (CMSE)

Marcos Gonçalves Avila, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil

Professor Associado (aposentado) do Inistituto COPPEAD de Administração da Universidade Federal do Rio de Janeiro

Voluntário, Revolusolar

References

ALLCOTT, H.; KESSLER, J. The Welfare effects of nudges: A case study of energy use social comparisons. American Economic Journal: Applied Economics, v. 11, No. 1, p. 236-276, 2019.

BECKER, G. The economic approach to human behavior. University of Chicago Press, 1976.

BECKER, G. Mind Over Money. Direção: Malcolm Clark. Intérprete: Gary Becker: NOVA / PBS, 2010. Disponível em: https://www.youtube.com/watch?v=dNwFyB7HjuE. Acesso em: 20 fev. 2020.

BOLLINGER, B.; GILLINGHAM, K. Peer effects in the diffusion of solar photovoltaic panels. Marketing Science, v. 31, p. 900-912, 2012.

BOLLINGER, B.; GILLINGHAM, K. Social learning and solar photovoltaic adoption. CESifo, Working Paper Series, No. 8434, 2020.

COMELLO, S.; REICHELSTEIN, S. Cost competitiveness of residential solar PV: The impact of net metering restrictions. Renewable and Sustainable Energy Reviews, v. 75, p. 46-57, 2016.

DARGHOUTH, N; BARBOSE, G.; WISER, R. The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California. Energy Policy, v. 39, No 9, p. 5243-5253, 2011.

DAVIDSON, C.; STEINBERG, D.; MARGOLIS, R. Exploring the market for third-party-owned residential photovoltaic systems: insights from lease and power-purchase agreement contract structures and costs in California. Environmental Research Letters, v. 10, 2015.

DAI, H.; SACCARDO, S.; HAN, M.; ROH, L.; Raja, N.; VANGALA, S.; MODI, H.; PANDYA, S.; SLOYAN, M.; CROYMANS, D.M. Behavioural nudges increase COVID-19 vaccinations. Nature, v. 597, 2021.

DI SILVESTRE, M. L.; FAVUZZA, S.; SANSEVERINO, E.; ZIZZO, G. How decarbonization, digitalization and decentralization are changing key power infrastructures. Renewable and Sustainable Energy Reviews, v. 93, p. 483-498, 2018.

EIA. Annual Energy Outlook 2019 - projections to 2050. 2020. Disponível em: https://www.eia.gov/outlooks/aeo/pdf/aeo2019.pdf. Acesso em: 15 jan. 2021

FAMA (2010). Mind Over Money. Direção: Malcolm Clark. Intérprete: Eugene Fama: NOVA / PBS, 2010. Disponível em: https://www.youtube.com/watch?v=dNwFyB7HjuE. Acesso em: 20 fev. 2020.

FU, R., FELDMAN; D., MARGOLIS; R.; WOODHOUSE, M.; ARDANI, K. U.S. solar photovoltaic system cost benchmark: Q1 2017. National Renewable Energy Laboratory, 2017.

GRAZIANO, M.; GILLINGHAM, K. Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment. Journal of Economic Geography, v. 15, Issue 4, 2015, p. 815–839,

HALFELD, M.; TORRES, F. Finanças comportamentais: aplicações no contexto brasileiro. Revista de Administração de Empresas, v. 41(2), 2011.

HALPERN, D.; SANDERS, M. Nudging by government: Progress, impact and lessons learnt. Behavioral Science & Policy, v. 2, Issue 2, 2016.

HARGADON, A. Sustainable Innovation: Build your company's capacity to change the world. Stanford Business Books, 2015.

HASTINGS, J.; WEELDEN, R.; WEINSTEIN, J. Preferences, information, and parental choice behavior in public school choice. NBER Working Papers 12995, National Bureau of Economic Research, Inc. 2007.

IEA. International energy agency. World energy outlook. Disponível em: https://www.iea.org/reports/world-energy-outlook-2020/outlook-forelectricity. Acesso em: 10 jun. 2021.

IEA. Renewables 2019, IEA, Paris 2019. Disponível em: https://www.iea.org/reports/renewables-2019. Acesso em: 08 abr. 2020.

IPCC. Summary for policymakers. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., Midgley, P.M. (Eds.), Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p. 1-29, 2013.

IVORY, D.; CARDWELL, D. SolarCity’s Ties to Foreclosure Cases Raise Questions on Vetting Policies. New York Times. 2017. Disponível em: https://www.nytimes.com/2017/02/22/business/solarcity-foreclosure-cases.html. Acesso em: 10 dez. 2020.

JOHNSON, E.J.; GOLDSTEIN, D. Do default save lives? Science, v. 302, Issue 5649 p.1338-1339, 2003.

KAHNEMAN, D.; TVERSKY, A. Prospect theory: an analysis of decision under risk. Econometrica, v. 47, p. 263-291, 1979.

KAHNEMAN, D. Maps of bounded rationality: psychology for behavioral economics. American Economic Review, v. 93 (5), p. 1449-1475, 2003

KAHNEMAN, D. Thinking, Fast and Slow. Farrar, Strauss and Gironx, 2011.

KRULEWITZ, A. The Numbers Behind SolarCity’s Success. 2013. Greentech Media. Disponível em: https://www.greentechmedia.com/articles/read/the-numbers-behind-solarcitys-success. Acesso em: 20 dez. 2020.

LAIBSON, D. Golden eggs and hyperbolic discounting. Quarterly Journal of Economics, v. 112, p. 448-477, 1997.

LOEWENSTEIN, G.; PRELEC, D. Anomalies in intertemporal choices: Evidence and an interpretation. The Quarterly Journal of Economics, p.573-597, 1992.

LOWDER, T.; SCHWABE, P.; ZHOU, E.; ARENT, D. Historical and Current U.S. Strategies for Boosting Distributed Generation. NREL Technical Report TP-6A20-64843, 2015.

MEZA, E. SolarCity doubles first-quarter revenue, cuts net loss by 41%. pv magazine. Disponível em: http://www.pv-magazine.com/news/details/beitrag/solarcity-doubles-first-quarter-revenue--cuts-net-loss-by-41_100015035. Acesso em: 14 jun. 2014.

MEZA, E. SolarCity narrows annual loss, posts fourth-quarter profit. pv magazine Disponível em: http://www.pv-magazine.com/news/details/beitrag/solarcity-narrows-annual-loss--posts-fourth-quarter-profit_100014550. Acesso em: 12 mar. 2016.

PLUMER, B. SolarCity is trying to become the Apple of solar power. Vox. 2014. Disponível em: http://www.vox.com/2014/6/17/5817504/solarcity-is-trying-to-become-the-apple-of-solar-power. Acesso em: 14 mar. 2020.

RAI, V.; McANDREWS, K. Decision-making and behavior change in residential adopters of solar PV. In World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference, p. 2875-2880, 2012.

RAI, V.; SIGRIN, B. Diffusion of environmentally-friendly energy technologies: buy versus lease differences in residential PV markets. IOP Publishing Ltd. Environmental Research Letters, v. 8, 2013.

RIVE, L. Stanford Seminar - Entrepreneurial Thought Leaders. 2015. Disponível em: www.youtube.com/watch?v=g7MYUgXi15E. Acesso em: 26 mar. 2020.

ROSS, S.; WESTERFIELD, R.; JORDAN, B. Fundamentos de Administração Financeira, 9a. edição, McGraw Hill, 2013.

SEBA, T. Clean disruption of energy and transportation. Clean Planet Ventures. Silicon Valley, California, USA, 2014.

SEIA. Solar Energy Industries Association. Disponível em: https://www.seia.org/state-solar-policy/california-solar. Acesso em: 21 set. 2021

SIMON, H. Theories of bounded rationality. In C. B. McGuire, & R. Radner, Decision and Organization (p. 161-176). Amsterdam North-Holland, 1972

SIMON, H. Alternative visions of rationality. Reason and Human Affairs Stanford, CA. Stanford University Press, p. 7-35, 1983.

STANOVICH, K.; WEST, R. Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences, v. 23, p. 645-65, 2000.

STATISTA Research Department. Leading U.S. residential solar installers in 2015, based on market share. Statista 2016. Disponível em https://www.statista.com/statistics/215637/us-residential-solar-installers-based-on-market-share. Acesso em: 08 dez. 2020.

TESLA, E. Tesla SolarCity. 01 nov. 2016.

Disponível em: https://www.tesla.com/blog/tesla-and-solarcity. Acesso em: 14 fev. 2020.

THALER, R.; SUNSTEIN, C. Nudge. Yale University Press, 2008.

TVERSKY, A.; KAHNEMAN, D. Judgment under uncertainty: Heuristics and biases, Science, v. 185, p.1124-1131,1974.

TVERSKY, A.; KAHNEMAN, D. The framing of decisions and the psychology of choice. Science, v. 211, p. 453-58, 1981.

UNFCCC. United Nations Climate Change, 2015. Disponível em: https://unfccc.int/documents/9064. Acesso em: 05 abr. 2020.

UMIHANIC, U. Business model innovation as a new source of competitive advantage - A case study based on the energy sector. Dissertação de Mestrado, EBS Business School, Universität für Wirtschaft und Recht, Bosnia and Herzegovina, 2014.

WAN, Y. Net Metering Programs. 1996. Disponível em: https://www.nrel.gov/docs/legosti/old/21651. Acesso em: 10 fev. 2022.

WEBER, M. Economy and Society: An outline of interpretative sociology. New York, Bedminster Press, v.1, 1968

ZEIDAN, R. O governo erra até ao tentar acertar. Folha de São Paulo, 20 abr. 2019.

ZHANG, S. Innovative business models and financing mechanisms for distributed solar PV (DSPV) deployment in China. Energy Policy, v. 95, p. 458-467, 2016.

Published

2022-05-29

How to Cite

Avila, E. V. ., Pinto Junior, H. Q. ., & Avila, M. G. . (2022). Solar energy and behavioral economics: the Solar City case. Economia E Desenvolvimento, 33, e7. https://doi.org/10.5902/1414650968215

Issue

Section

Articles