Analysis of COVID-19 and drinking water savings: a multifactorial perspective

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Published: ene. 8, 2024
DOI: https://doi.org/10.54753/rve.v12i1.1908
Keywords:
Pandemic, Environmental behavior, Social upheaval, Structural equations model, COVID-19

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Johanna Alvarado
Carrera de Economía, Universidad Nacional de Loja, 110150, Loja, Ecuador
Nathalie Aguirre-Padilla
Carrera de Agronegocios, Universidad Técnica Particular de Loja, 110150, Loja, Ecuador
Pablo Ponce
Carrera de Economía, Universidad Nacional de Loja, 110150, Loja, Ecuador

Abstract

Government policies to stop the spread of contagion of the coronavirus disease (COVID-19) have changed human behavior. Therefore, this research aims to examine the influence of COVID-19 on the saving of drinking water in homes in the city of Loja during the pandemic. For this, a survey was carried out, the same one applied to 386 homes in the city to determine the environmental behavior they maintained during the pandemic. Subsequently, the information was processed using a Partial Least Squares Structural Equation Model (PLS-SEM). The measurement and structural model were validated to verify the consistency of the results and study hypotheses. The results revealed that COVID-19 is negatively related to saving drinking water, that is, it did not increase the saving of drinking water. Environmental awareness and social norms are also examined in determining potable water savings. Some policy implications are designed based on the results obtained, which are aimed at guaranteeing environmental sustainability.

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How to Cite
Alvarado, J., Aguirre-Padilla, N., & Ponce , P. (2024). Analysis of COVID-19 and drinking water savings: a multifactorial perspective. Revista Económica, 12(1), 33–44. https://doi.org/10.54753/rve.v12i1.1908
Issue
Vol. 12 No. 1 (2024): RVE vol 12 (Enero-Junio 2024)
Section
RESEARCH ARTICLES
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References

Alvarado Espejo, J. M. , Ontaneda, W. I. T., Aguirre Padilla, N. I., & Ochoa-Moreno, W. S. (2021). Water saving practices conditioned by socioeconomic factors: A case study of Ecuadorian households. Journal of Environmental Management, 293, 112818.

Ainsworth B, Steele M, Stuart B, Joseph J, Miller S, Morrison L, et al. (2017). Using an analysis of behavior change to inform effective digital intervention design: how did the PRIMIT website change hand hygiene behavior across 8993 users? Annals of Behavioral Medicine. 51:423–31. doi: 10.1007/s12160-016-9866-9

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of experimental social psychology, 22(5), 453-474.

Atkins, W. A. (2003). Conservation, water. Water: Science and issues.

Amuakwa-Mensah, F., Klege, R. A., Adom, P. K., & Köhlin, G. (2021). COVID-19 and handwashing: Implications for water use in sub-Saharan Africa. Water Resources and Economics, 36, 100189.

Balaco, G. Totaro, V., Iacobellis, V., Manni, A., Sapagnoletta, M. & Ferruccio Piccinni, A. (2020). Influence of COVID-19 Spread on Water Drinking Demand: The Case of Puglia Region (Southern Italy). Sustainability. 12(15), 5919; https://doi.org/10.3390/su12155919

Boudet, H. S., Flora, J. A., & Armel, K. C. (2016). Clustering household energy-saving behaviours by behavioural attribute. Energy Policy, 92, 444-454.

Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. (2007). Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health psychology. 26:136. doi: 10.1037/0278-6133.26.2.136

Briscoe C, Aboud F. (2012). Behaviour change communication targeting four health behaviours in developing countries: A review of change techniques. Social Science & Medicine. 75:612–21. doi: 10.1016/j.socscimed.2012.03.016

Clark, W. A., & Finley, J. C. (2007). Determinants of water conservation intention in Blagoevgrad, Bulgaria. Society and natural resources, 20(7), 613-627.

Cominato, C., Sborz, J., Kalbusch, A., & Henning, E. (2022). Water demand profile before and during COVID-19 pandemic in a Brazilian social housing complex. Heliyon, 8(8), e10307.

Curtis V., Danquah L. & Aunger R. (2009). Planned, motivated and habitual hygiene behaviour: an eleven country review. Health Education Research. 24:655–73. doi: 10.1093/her/cyp002

Dadvar, A., Mahapatra, K., & Forss, J. (2021). Water Use Behavior in a Multicultural Urban Area in Sweden. Sustainability, 13(15), 8603.

Dean, A. J., Kneebone, S., Tull, F., Lauren, N., & Smith, L. D. (2021). ‘Stickiness’ of water-saving behaviours: What factors influence whether behaviours are maintained or given up?. Resources, Conservation and Recycling, 169, 105531.

De Zwart O, Veldhuijzen IK, Elam G, Aro AR, Abraham T, Bishop GD, et al. Perceived threat, risk perception, and efficacy beliefs related to SARS and other (emerging) infectious diseases: results of an international survey. Int J Behav Med. (2009) 16:30–40. doi: 10.1007/s12529-008-9008-2

Dziminska, P., Drzewiecki, S., Ruman, M., Kosek, K., Mikołajewski, K. & Licznar. P. (2021). The Use of Cluster Analysis to Evaluate the Impact of COVID-19 Pandemic on Daily Water Demand Patterns. Sustainability. 13 (11), 5772; https://doi.org/10.3390/su13115772

Feizizadeh, B., Omarzadeh, D., Ronagh, Z., Sharifi, A., Blaschke, T., & Lakes, T. (2021). A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran. Science of The Total Environment, 790, 148272.

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. representen eficientemente a cada una de las variables latentes.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

Hurlimann, A., Dolnicar, S., & Meyer, P. (2009). Understanding behaviour to inform water supply management in developed nations–a review of literature, conceptual model and research agenda. Journal of environmental management, 91(1), 47-56.

Instituto Nacional de Estadísticas y Censos (2022). Información ambiental en Hogares. [Conjunto de datos]. Encuesta Nacional de Empleo, Desempleo y Subempleo (ENEMDU). Ecuador.https://www.ecuadorencifras.gob.ec/hogares/

Irwin, N., McCoy, S. & McDonough, I. (2021). Water in the time of corona(virus): The effect of stay-at-home orders on water demand in the desert. Journal of Environmental Economics and Management. 109. 102491. ISSN 0095-0696, https://doi.org/10.1016/j.jeem.2021.102491

Ito, N. & Kuriyama, K. (2017) Averting behaviors of very small radiation exposure via food consumption after the Fukushima nuclear power station accident. American Journal of Agricultural Economics, 99 (1). pp. 55-72. http://dx.doi.org/10.1093/ajae/aaw078

Kalbusch, A., Henning, E., Brikalski, M., Vieira de Luca, F. & Konrath, A. (2020). Impact of coronavirus (COVID-19) spread-prevention actions on urban water consumption. Resources, Conservation and Recycling. 163, 105098. ISSN 0921-3449. https://doi.org/10.1016/j.resconrec.2020.105098.

Kalbusch, A., Henning, E., Brikalski, M. P., de Luca, F. V., & Konrath, A. C. (2020). Impact of coronavirus (COVID-19) spread-prevention actions on urban water consumption. Resources, Conservation and Recycling, 163, 105098.

Kollmuss, A., & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior?. Environmental education research, 8(3), 239-260.

Lau JTF, Yang X, Tsui H, & Kim JH. (2003). Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. Journal Epidemiology Community Health. 57(864). http://dx.doi.org/10.1136/jech.57.11.864

Leung GM, Ho L-M, Chan SKK, Ho S-Y, Bacon-Shone J, Choy RYL, et al. (2005). Longitudinal assessment of community psychobehavioral responses during and after the 2003 outbreak of severe acute respiratory syndrome in Hong Kong. Clinical Infectious Diseases. 40:1713–20. doi: 10.1086/429923

Liu, L. Y., Brough, C. B., & Wu, W. N. (2022). When water conservation matters: Examining how water scarcity experiences create windows of opportunity for effective water-saving policy initiatives. Environmental Science & Policy, 137, 61-69.

Liu, A., Giurco, D., & Mukheibir, P. (2015). Motivating metrics for household water-use feedback. Resources, Conservation and Recycling, 103, 29-46.

Maas, A., Goemans, C., Manning, D., Kroll, S., Arabi, M., & Rodriguez-McGoffin, M. (2017). Evaluating the effect of conservation motivations on residential water demand. Journal of environmental management, 196, 394-401.

McMichael C., &Robinson P. (2016). Drivers of sustained hygiene behaviour change: a case study from Mid-Western Nepal. Social Science and Medicine. 163:28–36. doi: 10.1016/j.socscimed.2016.06.051

Mosler, H-J., & Contzen, N. (2016). Systematic behavior change in water, sanitation and hygiene. A practical guide using the RANAS approach. Version 1.1. Swiss Agency for Development and Cooperation SDC. http://www.eawag.ch/fileadmin/Domain1/Abteilungen/ess/schwerpunkte/ehpsy/publ/Guideline/Guideline_V1.0_final_25_08_2016_druck_3.pdf

Nordløkken, A., Pape, H. & Heir, T. (2016). Alcohol consumption in the aftermath of a natural disaster: a longitudinal study. Public Health, 132. pp. 33-39. 93 669. http://dx.doi.org/10.1016/j.puhe.2015.11.007

Organización Mundial de la Salud. Agua, Saneamiento, Higiene y Manejo de Residuos por el Virus COVID-19. Disponible en línea: https://apps.who.int/iris/bitstream/handle/10665/331305/WHO-2019-NcOV-IPC_WASH-2020.1-eng.pdf?sequence=1&isAllowed=y (consultado el 10 de enero de 2022).

Park J-H, Cheong H-K, Son D-Y, Kim S-U, Ha C-M. (2010). Perceptions and behaviors related to hand hygiene for the prevention of H1N1 influenza transmission among Korean university students during the peak pandemic period. BMC Infect Dis. 10:222. https://doi.org/10.1186/1471-2334-10-222

Randolph, B., & Troy, P. (2008). Attitudes to conservation and water consumption. Environmental science & policy, 11(5), 441-455.4

Russell, S. V., & Knoeri, C. (2020). Exploring the psychosocial and behavioural determinants of household water conservation and intention. International Journal of Water Resources Development, 36(6), 940-955.

Russell, S., & Fielding, K. (2010). Water demand management research: A psychological perspective. Water resources research, 46(5).

Sayeed, A., Rahman, M. H., Bundschuh, J., Herath, I., Ahmed, F., Bhattacharya, P., ... & Hasan, M. T. (2021). Handwashing with soap: A concern for overuse of water amidst the COVID-19 pandemic in Bangladesh. Groundwater for Sustainable Development, 13, 100561.

Singha, B., Karmaker, S. C., & Eljamal, O. (2023). Quantifying the direct and indirect effect of socio-psychological and behavioral factors on residential water conservation behavior and consumption in Japan. Resources, Conservation and Recycling, 190, 106816.

Si, H., Duan, X., Zhang, W., Su, Y., & Wu, G. (2022). Are you a water saver? Discovering people's water-saving intention by extending the theory of planned behavior. Journal of Environmental Management, 311, 114848.

Tang CSK, Wong C-Y. (2003). An outbreak of the severe acute respiratory syndrome: predictors of health behaviors and effect of community prevention measures in Hong Kong, China. American Journal of Public Health. 93:1887–88. doi: 10.2105/AJPH.93.11.1887

Tayal, S., & Singh, S. (2021). Covid-19 and opportunity for integrated management of water–energy–food resources for urban consumption. Environmental Resilience and Transformation in Times of COVID-19, 135-142.

Utami, N. Saurmauli, D. & Anom, N. (2021). Public Perception and Hand Hygiene Behavior During COVID-19 Pandemic in Indonesia. Frontiers - Public Health, Sec. Public Health Education and Promotion. 9. https://doi.org/10.3389/fpubh.2021.621800

WHO. Water, Sanitation, Hygiene and Waste Management for the COVID-19 Virus: Interim Guidance. Geneva: World Health Organisation (2020).

Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., & Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling, 155, 104660.

Zhang, Y., Wang, Z., & Zhou, G. (2014). Determinants of employee electricity saving: The role of social benefits, personal benefits and organizational electricity saving climate. Journal of cleaner production, 66, 280-287.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long range planning, 46(1-2), 1-12.

Kang, W., & Shao, B. (2023). The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA. Journal of Retailing and Consumer Services, 70, 103130.