Striving for Sustainability: A Study of Water Consumption Behavior of Households in Lahore Division

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Published Dec 31, 2023
https://doi.org/10.61506/02.00123
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Vol. 9 No. 4 (2023)

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Amber Pervaiz
PhD Economics Scholar, Department of Economics, Division of Management & Administrative Science, University of Education, Lahore, Pakistan
Asim Iqbal
Department of Economics, Division of Management & Administrative Science, University of Education, Lahore, Pakistan

Abstract

Amid the escalating global water scarcity concerns, exacerbated by increasing demand characterized by unsustainable water consumption practices, this study addresses the imperative need to identify the factors that promotes the sustainable water consumption behavior among households. Our research builds upon the theoretical premises of the Theory of Planned Behavior (TPB), proposing a unique model that incorporates consumers’ water-saving preferences as a moderating factor to address the intention-behavior gap. In order to accomplish the proposed study objective, we approached 1552 households living in the residential premises of Lahore Division. We applied Partial Least Square – Structural Equational Modelling (PLS-SEM) to empirically analyze the results. Our research reveals that consumer’s sustainable water consumption intention and water saving preferences are important factors that promotes the sustainable water consumption behavior among the households. Moreover, the study unveils the moderating role of these preferences in reinforcing the relationship between intention and behavior, effectively bridging the intention-behavior gap. Additionally, our research identifies the indirect influence of consumers’ water-saving attitudes and perceived behavioral control on shaping sustainable water consumption behavior. Importantly, the study demonstrates a substantial improvement in the predictive accuracy of TPB with the inclusion of water-saving preferences as a moderating factor. These insights hold significant implications for devising interventions to promote sustainable water consumption behavior among households.

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How to Cite
[1]
Pervaiz, A. and Iqbal, A. 2023. Striving for Sustainability: A Study of Water Consumption Behavior of Households in Lahore Division. Journal of Policy Research. 9, 4 (Dec. 2023), 29–38. DOI:https://doi.org/10.61506/02.00123.
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References

  1. Abbas, S. J., Hussain, M. M., Salman, M., Shahid, S., & Iqbal, A. (2022). Economic growth, energy consumption and environment relationship: a panel data analysis of South Asian Countries. Journal of Policy Research, 8(4), 143-151.
  2. Abbas, S. J., Iqbal, A., Hussain, M. M., & Anwar, A. (2023). The environmental cost of FDI and spatial implications of CO2 emissions in Sub-Saharan Africa. Environ Sci Pollut Res 30, 74441–74451 (2023). DOI: https://doi.org/10.1007/s11356-023-27727-2
  3. Addo, I. B., Thoms, M. C., & Parsons, M. (2019). The influence of water-conservation messages on reducing household water use. Applied Water Science, 9(5), 1–13. DOI: https://doi.org/10.1007/s13201-019-1002-0
  4. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T
  5. Alam, M. Z., Rafiq, M., Alafif, A. M., Nasir, S., & Bashir, J. (2023). Success comes before work only in dictionary: role of job autonomy for intrapreneurial behaviour using trait activation theory. International Journal of Innovation Science. DOI: https://doi.org/10.1108/IJIS-04-2023-0085
  6. Ali, A. A. A., AlZgool, M., Alzoraiki, M., Milhem, M., & Al-Absy, M. S. M. (2023). Moderating Effect of Strategic Planning on the Relationship between Career Path Planning and Job Performance. Sustainability (Switzerland), 15(11). DOI: https://doi.org/10.3390/su15118490
  7. Audi, M., Ali, A., & Kassem, M. (2020). Greenhouse Gases: A Review of Losses and Benefits. International Journal of Energy Economics and Policy, 10(1), 403. DOI: https://doi.org/10.32479/ijeep.8416
  8. Avci, İ. (2023). Sustainable water consumption and water‐saving behaviours: A review of consumers’ environmental and economic concerns in Turkey. Water and Environment Journal. DOI: https://doi.org/10.1111/wej.12869
  9. Bettman, J. R., Luce, M. F., & Payne, J. W. (1998). Constructive consumer choice processes. Journal of Consumer Research, 25(3), 187–217. DOI: https://doi.org/10.1086/209535
  10. Boylu, A. A., & Gunay, G. (2017). Do families attitudes and behaviors support sustainable water consumption. European Journal of Sustainable Development, 6(4), 115. DOI: https://doi.org/10.14207/ejsd.2017.v6n4p115
  11. Cerchia, R. E., & Piccolo, K. (2019). The Ethical Consumer and Codes of Ethics in the Fashion Industry. Laws 2019, Vol. 8, Page 23, 8(4), 23. DOI: https://doi.org/10.3390/laws8040023
  12. Chovanová, H. H., Korshunov, A. I., & Babčanová, D. (2015). Impact of Brand on Consumer Behavior. Procedia Economics and Finance, 34, 615–621. DOI: https://doi.org/10.1016/S2212-5671(15)01676-7
  13. Cohen, J. (2014). Statistical Power Analysis for the Behavioral Sciences. Statistical Power Analysis for the Behavioral Sciences, undefined-undefined. DOI: https://doi.org/10.4324/9780203771587
  14. Dean, A. J., Kneebone, S., Tull, F., Lauren, N., & Smith, L. D. G. (2021). ‘Stickiness’ of water-saving behaviours: What factors influence whether behaviours are maintained or given up? Resources, Conservation and Recycling, 169, 105531. DOI: https://doi.org/10.1016/j.resconrec.2021.105531
  15. Du, M., Chai, C. S., Di, W., & Wang, X. (2023). What affects adolescents’ willingness to maintain climate change action participation: An extended theory of planned behavior to explore the evidence from China. Journal of Cleaner Production, 422, 138589. DOI: https://doi.org/10.1016/j.jclepro.2023.138589
  16. Hackbarth, A., Tremml, T., & Löbbe, S. (2022). Preferences for service bundles in the energy sector – a survey of German private households. International Journal of Energy Sector Management, 16(6), 1214–1239. DOI: https://doi.org/10.1108/IJESM-09-2020-0013
  17. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). An Introduction to Structural Equation Modeling. 1–29. DOI: https://doi.org/10.1007/978-3-030-80519-7_1
  18. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, 45(5–6), 312–319. DOI: https://doi.org/10.1016/j.lrp.2012.09.011
  19. 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. DOI: https://doi.org/10.1108/EBR-11-2018-0203
  20. Hauser, J. R., Dong, S., & Ding, M. (2014). Self‐reflection and articulated consumer preferences. Journal of Product Innovation Management, 31(1), 17–32. DOI: https://doi.org/10.1111/jpim.12077
  21. Houthakker, H. S. (1950). Revealed Preference and the Utility Function. Economica, 17(66), 159. DOI: https://doi.org/10.2307/2549382
  22. Hua, Y., & Dong, F. (2022). Can environmental responsibility bridge the intention-behavior gap? Conditional process model based on valence theory and the theory of planned behavior. Journal of Cleaner Production, 376(September), 134166. DOI: https://doi.org/10.1016/j.jclepro.2022.134166
  23. In, J. (2017). Introduction of a pilot study. Korean Journal of Anesthesiology, 70(6), 601. DOI: https://doi.org/10.4097/kjae.2017.70.6.601
  24. Jia, J. J., Lu, J., & Xie, H. (2022). How to make sustainable water-saving policy based on public preferences in China? A conjoint analysis perspective. Sustainable Production and Consumption, 32, 765–780. DOI: https://doi.org/10.1016/j.spc.2022.06.003
  25. Jr., J. F. H., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. DOI: https://doi.org/10.1504/IJMDA.2017.087624
  26. Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. DOI: https://doi.org/10.1177/001316447003000308
  27. La Barbera, F., & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3), 401. DOI: https://doi.org/10.5964/ejop.v16i3.2056
  28. Mahmood, H., Adow, A. H., Abbas, M., Iqbal, A., Murshed, M., & Furqan, M. (2022). The fiscal and monetary policies and environment in GCC countries: analysis of territory and consumption-based CO2 emissions. Sustainability, 14(3), 1225. DOI: https://doi.org/10.3390/su14031225
  29. Malik, S., Iqbal, A., Imran, A., Usman, M., Nadeem, M., Asif, S., & Bokhari, A. (2021). Impact of economic capabilities and population agglomeration on PM 2.5 emission: empirical evidence from sub-Saharan African countries. Environmental Science and Pollution Research, 28, 34017-34026. DOI: https://doi.org/10.1007/s11356-020-10907-9
  30. Novemsky, N., Dhar, R., Schwarz, N., & Simonson, I. (2007). Preference Fluency in Choice. Https://Doi.Org/10.1509/Jmkr.44.3.347, 44(3), 347–356. DOI: https://doi.org/10.1509/jmkr.44.3.347
  31. O’Hara, S. U., & Stagl, S. (2012). Endogenous preferences and sustainable development. The Journal of Socio-Economics, 31(5), 511–527. DOI: https://doi.org/10.1016/S1053-5357(02)00134-8
  32. Perren, K., & Yang, L. (2015). Psychosocial and behavioural factors associated with intention to save water around the home: A Greek case study. Procedia Engineering, 119(1), 1447–1454. DOI: https://doi.org/10.1016/j.proeng.2015.08.1005
  33. Ray Biswas, R., Ray Biswas, T., & Rahman, A. (2023). Benchmarking the Effects of Water Demand Management During Water Crisis in a Regional City. Environmental Management, 72(6), 1277–1292. DOI: https://doi.org/10.1007/s00267-023-01862-5
  34. Roy, M. (2020). Greening behavior toward sustainable development. Sustainable Development Strategies. Edited by Marisa LaFleur. London: Elsevier Inc, 53–90. DOI: https://doi.org/10.1016/B978-0-12-818920-7.00001-3
  35. 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. DOI: https://doi.org/10.1080/07900627.2019.1638230
  36. Shahangian, S. A., Tabesh, M., & Yazdanpanah, M. (2021). How can socio-psychological factors be related to water-efficiency intention and behaviors among Iranian residential water consumers? Journal of Environmental Management, 288, 112466. DOI: https://doi.org/10.1016/j.jenvman.2021.112466
  37. Sharma, S., & Christopoulos, G. (2021). Caring for you vs. caring for the planet: Empathic concern and emotions associated with energy-saving preferences in Singapore. Energy Research and Social Science, 72(April 2020), 101879. DOI: https://doi.org/10.1016/j.erss.2020.101879
  38. 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(February), 114848. DOI: https://doi.org/10.1016/j.jenvman.2022.114848
  39. Si, H., Yu, Z., Jiang, Q., Shu, Y., Hua, W., & Lv, X. (2022). Better future with better us: Exploring young people’s energy-saving behavior based on norm activation theory. Frontiers in Public Health, 10, 1042325. DOI: https://doi.org/10.3389/fpubh.2022.1042325
  40. Singha, B., Eljamal, O., Karmaker, S. C., Maamoun, I., & Sugihara, Y. (2022a). Water conservation behavior: Exploring the role of social, psychological, and behavioral determinants. Journal of Environmental Management, 317(April), 115484.
  41. Singha, B., Eljamal, O., Karmaker, S. C., Maamoun, I., & Sugihara, Y. (2022b). Water conservation behavior: Exploring the role of social, psychological, and behavioral determinants. Journal of Environmental Management, 317, 115484. DOI: https://doi.org/10.1016/j.jenvman.2022.115484
  42. 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(November 2022), 106816. DOI: https://doi.org/10.1016/j.resconrec.2022.106816
  43. Thakkar, J. J. (2020). Structural Equation Modelling. 285. DOI: https://doi.org/10.1007/978-981-15-3793-6
  44. United Nation. (2023). Water Facts | UN-Water. Organización de Las Naciones Unidas. https://www.unwater.org/water-facts
  45. Wang, Z., Zhang, B., & Li, G. (2014). Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. Journal of Renewable and Sustainable Energy, 6(5). DOI: https://doi.org/10.1063/1.4898363
  46. World Meteorological Organization. (2023). World Meteorological Organization (WMO).
  47. Zhu, J., Zhao, X., Zhu, T., & Li, L. (2021). Which factors determine students’ water-saving behaviors? Evidence from China colleges. Urban Water Journal, 18(10), 860–872. DOI: https://doi.org/10.1080/1573062X.2021.1943459