DISAGREGATED CONSUMPTION INFORMATION AND THE NEIGHBOR CONSUMPTION INDEX IN HOUSEHOLD ELECTRICITY USE
DOI:
https://doi.org/10.18623/rvd.v23.n4.4462Palavras-chave:
Disaggregation, Consumer Behavior, Household Electricity Consumption, Neighbor ClustersResumo
Melhorar a eficiência do consumo de eletricidade é um passo crucial para mitigar a degradação ambiental, uma vez que a dependência de combustíveis fósseis na produção de energia continua a ser uma das principais fontes de emissões de carbono e de danos ecológicos. O objetivo deste estudo foi desenvolver o Índice de Consumo dos Vizinhos (Neighbor Consumption Index – NCI), uma ferramenta concebida para incentivar a redução do consumo de eletricidade em agregados familiares e para comparar dois grupos de domicílios com e sem acesso a um serviço que fornece informação detalhada sobre o consumo de eletricidade. A motivação central da investigação consiste em comparar o consumo de eletricidade entre domicílios geograficamente próximos e com níveis de consumo semelhantes. A relevância prática do NCI reside no seu potencial para fornecer aos domicílios um indicador mensurável em relação aos seus vizinhos, promovendo assim mudanças comportamentais orientadas para a redução do consumo de eletricidade. Para a análise empírica, foram utilizados dados processados pela empresa de software Bidgely.
Referências
Alberini, A., Khymych, O., & Ščasný, M. (2020). Responsiveness to energy price changes when salience is high: Residential natural gas demand in Ukraine. Energy Policy, 144, 111534. https://doi.org/10.1016/j.enpol.2020.111534
Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9–10), 1082–1095. https://doi.org/10.1016/j.jpubeco.2011.03.003
Allcott, H., & Kessler, J. B. (2019). The welfare effects of nudges: A case study of energy use social comparisons. American Economic Journal: Applied Economics, 11(1), 236–276. https://doi.org/10.1257/app.20170328
Allcott, H., & Rogers, T. (2014). The short-run and long-run effects of behavioral interventions. American Economic Review, 104(10), 3003–3037.
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the US. Journal of Environmental Economics and Management, 103, 102351. https://doi.org/10.1016/j.jeem.2020.102351
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the US. Journal of Environmental Economics and Management, 103, 102351. https://doi.org/10.1016/j.jeem.2020.102351
Agarwal, R., Garg, M., Tejaswini, D., Garg, V., Srivastava, P., Mathur, J., & Gupta, R. (2023). A review of residential energy feedback studies. Energy and Buildings, 290, 113071. https://doi.org/10.1016/j.enbuild.2023.113071
Buckley, P. (2019). Household electricity consumption behaviour: A meta-analysis and experimental approaches (Doctoral dissertation). Université Grenoble Alpes.
Buchanan, K., Russo, R., & Anderson, B. (2015). The question of energy reduction: The problem(s) with feedback. Energy Policy, 77, 89–96. https://doi.org/10.1016/j.enpol.2014.12.008
Davis, A. L., Krishnamurti, T., Fischhoff, B., & Bruine de Bruin, W. (2013). Setting a standard for electricity pilot studies. Energy Policy, 62, 401–409. https://doi.org/10.1016/j.enpol.2013.07.093
Delmas, M. A., Fischlein, M., & Asensio, O. I. (2013). Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012. Energy Policy, 61, 729–739. https://doi.org/10.1016/j.enpol.2013.05.109
DellaVigna, S. (2009). Psychology and economics: Evidence from the field. Journal of Economic Literature, 47(2), 315–372. https://doi.org/10.1257/jel.47.2.315
Fay, M. P., & Proschan, M. A. (2010). Wilcoxon–Mann–Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statistical Surveys, 4, 1–39. https://doi.org/10.1214/09-SS051
Ferraro, P. J., & Price, M. K. (2013). Using nonpecuniary strategies to influence behavior. Review of Economics and Statistics, 95(1), 64–73.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202
Gerber, A. S., & Rogers, T. (2009). Descriptive social norms and motivation to vote. Journal of Politics, 71(1), 178–191. https://doi.org/10.1017/S0022381608090117
Gerster, A., Andor, M. A., & Goette, L. (2025). Disaggregate consumption feedback. The Economic Journal. Advance online publication. https://doi.org/10.1093/ej/ueaf084
Gillingham, K., & Palmer, K. (2014). Bridging the energy efficiency gap: Policy insights from economic theory and empirical evidence. Review of Environmental Economics and Policy, 8(1), 18–38. https://doi.org/10.1093/reep/ret021
Gillingham, K., Kotchen, M. J., Rapson, D. S., & Wagner, G. (2013). The rebound effect is overplayed. Nature, 493, 475–476. https://doi.org/10.1038/493475a
Goethals, G. R., & Darley, J. M. (1977). Social comparison theory: An attributional approach. In J. M. Suls & R. L. Miller (Eds.), Social comparison processes: Theoretical and empirical perspectives (pp. 43–68). Hemisphere.
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint. Journal of Consumer Research, 35(3), 472–482. https://doi.org/10.1086/586910
Herrmann, M. R., Costanza, E., Brumby, D. P., & O’Neill, J. (2021). Exploring domestic energy consumption feedback through interactive annotation. Energy Efficiency, 14, Article 90. https://doi.org/10.1007/s12053-021-09999-0
Himeur, Y., Ghanem, K., Alsalemi, A., & Amira, F. B. A. (2021). Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives. Applied Energy, 287, 116601. https://doi.org/10.1016/j.apenergy.2021.116601
Ito, K. (2014). Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing. American Economic Review, 104(2), 537–563. https://doi.org/10.1257/aer.104.2.537
Jessoe, K., & Rapson, D. (2014). Knowledge is (less) power. American Economic Review, 104(4), 1417–1438.
Karlin, B., Zinger, J. F., & Ford, R. (2015). The effects of feedback on energy conservation: A meta-analysis. Psychological Bulletin, 141(6), 1205–1227. https://doi.org/10.1037/a0039650
Kelly, J., & Knottenbelt, W. (2015). The UK-DALE dataset: Domestic appliance-level electricity demand and whole-house demand from five UK homes. Scientific Data, 2, 150007. https://doi.org/10.1038/sdata.2015.7
Li, Z., & Cao, X. (2021). Analysis of information feedback on residential energy conservation and the implications: The case of China. Frontiers in Environmental Science, 9, 626890. https://doi.org/10.3389/fenvs.2021.626890
Mi, L., Gan, X., Sun, Y., Qiao, T. L. L., & Xu, T. (2021). Effects of monetary and nonmonetary interventions on energy conservation: A meta-analysis of experimental studies. Renewable and Sustainable Energy Reviews, 149, 111342. https://doi.org/10.1016/j.rser.2021.111342
Mundaca, L., Ürge-Vorsatz, D., & Wilson, C. (2019). Demand-side approaches for limiting global warming to 1.5 °C. Energy Efficiency, 12, 343–362. https://doi.org/10.1007/s12053-018-9722-9
Prasanna, A., et al. (2018). Recent experiences with tariffs for saving electricity in households. Energy Policy, 115, 514–522. https://doi.org/10.1016/j.enpol.2018.01.044
Ruxton, G. D. (2006). The unequal variance t-test is an underused alternative to Student’s t-test and the Mann–Whitney U test. Behavioral Ecology, 17(4), 688–690. https://doi.org/10.1093/beheco/ark016
Schleich, J., Schuler, J., Pfaff, M., & Frank, R. (2023). Do green electricity tariffs increase household electricity consumption? Applied Economics, 55(20), 2337–2348. https://doi.org/10.1080/00036846.2022.2102574
Schrammel, J., Diamond, L. M., Fröhlich, P., et al. (2023). Influencing residential electricity consumption with tailored messages: Long-term usage patterns and effects on user experience. Energy, Sustainability and Society, 13, 15. https://doi.org/10.1186/s13705-023-00386-4
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science, 18(5), 429–434. https://doi.org/10.1111/j.1467-9280.2007.01917.x
Schultz, W., Shahram, J., & Sorokina, A. (2019). Social comparison as a tool to promote residential water conservation. Frontiers in Water, 1. https://doi.org/10.3389/frwa.2019.00002
Sintov, N. D., & Schultz, P. W. (2015). Unlocking the potential of smart grid technologies with behavioral science. Frontiers in Psychology, 6, 410. https://doi.org/10.3389/fpsyg.2015.00410
Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., & Staake, T. (2016). Overcoming salience bias: How real-time feedback fosters resource conservation. Management Science, 64(3), 1458–1476. https://doi.org/10.1287/mnsc.2016.2646
Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., & Staake, T. (2016). Overcoming salience bias: How real-time feedback fosters resource conservation. Management Science, 64(3), 1458–1476. https://doi.org/10.1287/mnsc.2016.2646
Webb, T. L., Benn, Y., Chang, B. P. I., & Thomas, L. (2014). Antecedents and consequences of monitoring domestic electricity consumption. Journal of Environmental Psychology, 40, 228–238. https://doi.org/10.1016/j.jenvp.2014.07.001
Welch, B. L. (1951). On the comparison of several mean values: An alternative approach. Biometrika, 38(3), 330–336. https://doi.org/10.2307/2332579
Wolske, K. S., Gillingham, K. T., & Schultz, P. W. (2020). Peer influence on household energy behaviours. Nature Energy, 5, 202–212. https://doi.org/10.1038/s41560-019-0541-
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