Household Attitudes toward Water Rate Increases Based on Perceptions of Water Service Reliability and Quality: An Exploratory Analysis
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 12
Abstract
Due to the high costs associated with maintaining and upgrading water infrastructure systems, selecting an appropriate water rate to charge for water service is an important step for water utilities. Understanding the consumption patterns under different rate conditions is important because revenues generated from consumers form the backbone of water utilities’ financial model. This paper describes the results of a statistical analysis based on a survey of household attitudes toward water service reliability and quality in a Midwestern US city to identify influential factors that are likely to be associated with supporting or opposing water rate increases, as well as influencing water consumption patterns after such rate increases. Using a multivariate binary probit approach, the statistical estimations cover a range of socioeconomic factors affecting individuals’ likelihood of supporting increases in water rates. The results provide insights as to how individuals are likely to respond to water rate increases based on the reliability of current water services and the quality of the supplied water.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Data includes household sociodemographics information of the case study (Table 1). The code that has been used in the econometric software for estimation of multivariate binary probit model is also available.
References
Ahlheim, M., O. Frör, A. Heinke, N. M. Duc, and P. V. Dinh. 2010. Labour as a utility measure in contingent valuation studies: How good is it really?. Stuttgart: Univ. Hohenheim.
Ajzen, I. 1991. “The theory of planned behavior.” Organizational Behav. Hum. Decis. Processes 50 (2): 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
Alameda County Water District. 2020. “Water conservation.” Accessed January 24, 2020. https://www.acwd.org/133/Water-Conservation.
Alcubilla, R., and J. Lund. 2006. “Derived willingness-to-pay for household water use with price and probabilistic supply.” J. Water Resour. Plann. Manage. 132 (6): 424–433. https://doi.org/10.1061/(ASCE)0733-9496(2006)132:6(424).
ASCE. 2017. 2017 infrastructure report card. Reston, VA: ASCE.
Beecher, J., and J. Kalmbach. 2013. “Structure, regulation, and pricing of water in the United States: A study of the Great Lakes region.” Util. Policy 24 (Mar): 32–47. https://doi.org/10.1016/j.jup.2012.08.002.
CalWater. 2020. “Low-income rate assistance (LIRA).” Accessed January 27, 2020. https://www.calwater.com/community/lira/).
Castro, A., C. Vaughn, M. García-Llorente, J. Julian, and C. Atkinson. 2016. “Willingness to pay for ecosystem services among stakeholder groups in a South-Central US watershed with regional conflict.” J. Water Resour. Plann. Manage. 142 (9): 05016006. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000671.
Chang, T. Z. D., and N. Vowles. 2013. “Strategies for improving data reliability for online surveys: A case study.” Int. J. Electron. Commerce Stud. 4 (1): 131–140. https://doi.org/10.7903/ijecs.1121.
City of Newport Beach. 2020. “2019 Water rate study.” Accessed January 24, 2020. https://www.newportbeachca.gov/government/departments/utilities/water-services/new-water-rates.
Corral-Verdugo, V., R. B. Bechtel, and B. Fraijo-Sing. 2003. “Environmental beliefs and water conservation: An empirical study.” J. Environ. Psychol. 23 (3): 247–257. https://doi.org/10.1016/S0272-4944(02)00086-5.
Curtis, T. 2014. “Water infrastructure: The last and next 100 years.” J. Am. Water Work Assoc. 106 (8): 132–138. https://doi.org/10.5942/jawwa.2014.106.0113.
Dalhuisen, J., R. Florax, H. De Groot, and P. Nijkamp. 2003. “Price and income elasticities of residential water demand: A meta-analysis.” Land Econ. 79 (2): 292–308. https://doi.org/10.2307/3146872.
Doria, M. 2009. “Factors influencing public perception of drinking water quality.” Water Policy 12 (1): 1–19. https://doi.org/10.2166/wp.2009.051.
Espey, M., J. Espey, and W. Shaw. 1997. “Price elasticity of residential demand for water: A meta-analysis.” Water Resour. Res. 33 (6): 1369–1374. https://doi.org/10.1029/97WR00571.
Etikan, I., S. A. Musa, and R. S. Alkassim. 2016. “Comparison of convenience sampling and purposive sampling.” Am. J. Theor. Appl. Stat. 5 (1): 1–4. https://doi.org/10.11648/j.ajtas.20160501.11.
Faust, K., S. Hernandez, and J. Anderson. 2018. “Willingness to pay for perceived increased costs of water and wastewater service in shrinking US cities: A latent class approach.” J. Water Resour. Plann. Manage. 144 (7): 04018033. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000946.
Fuentes, E., L. Arce, and J. Salom. 2018. “A review of domestic hot water consumption profiles for application in systems and buildings energy performance analysis.” Renewable Sustainable Energy Rev. 81 (Part 1): 1530–1547. https://doi.org/10.1016/j.rser.2017.05.229.
Gage, E., and D. Cooper. 2015. “The influence of land cover, vertical structure, and socioeconomic factors on outdoor water use in a Western US city.” Water Resour. Manage. 29 (10): 3877–3890. https://doi.org/10.1007/s11269-015-1034-7.
Garcia-Cuerva, L., E. Berglund, and A. Binder. 2016. “Public perceptions of water shortages, conservation behaviors, and support for water reuse in the US.” Resour. Conserv. Recycl. 113 (Oct): 106–115. https://doi.org/10.1016/j.resconrec.2016.06.006.
Gaudin, S. 2006. “Effect of price information on residential water demand.” Appl. Econ. 38 (4): 383–393. https://doi.org/10.1080/00036840500397499.
Ghimire, M., T. A. Boyer, C. Chung, and J. Moss. 2016. “Estimation of residential water demand under uniform volumetric water pricing.” J. Water Resour. Plann. Manage. 142 (2): 04015054. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000580.
Gober, P., R. Quay, and K. Larson. 2016. “Outdoor water use as an adaptation problem: Insights from North American cities.” Water Resour. Manage. 30 (3): 899–912. https://doi.org/10.1007/s11269-015-1205-6.
Greene, W. 2018. Econometric analysis. New York: Pearson.
Gu, Q., Y. Chen, R. Pody, R. Cheng, X. Zheng, and Z. Zhang. 2015. “Public perception and acceptability toward reclaimed water in Tianjin.” Resour. Conserv. Recycl. 104 (Part A): 291–299. https://doi.org/10.1016/j.resconrec.2015.07.013.
Hewitt, J., and W. Hanemann. 1995. “A discrete/continuous choice approach to residential water demand under block rate pricing.” Land Econ. 71 (2): 173–192. https://doi.org/10.2307/3146499.
Hughes, J., M. Tiger, S. Eskaf, S. I. Berahzer, S. Royster, C. Boyle, D. Batten, P. Brandt, and C. Noyes. 2014. Defining a resilient business model for water utilities. Denver: Water Research Foundation.
Hurlimann, A. 2008. Community attitudes to recycled water use: An urban Australian case study—Part 2. Adelaide, Australia: Cooperative Research Centre for Water Quality and Treatment.
Hussien, W., F. Memon, and D. Savic. 2016. “Assessing and modelling the influence of household characteristics on per capita water consumption.” Water Resour. Manage. 30 (9): 2931–2955. https://doi.org/10.1007/s11269-016-1314-x.
Kontokosta, C., and R. Jain. 2015. “Modeling the determinants of large-scale building water use: Implications for data-driven urban sustainability policy.” Sustainable Cities Soc. 18 (Nov): 44–55. https://doi.org/10.1016/j.scs.2015.05.007.
Lam, S. 2006. “Predicting intention to save water: Theory of planned behavior, response efficacy, vulnerability, and perceived efficiency of alternative solutions.” J. Appl. Social Psychol. 36 (11): 2803–2824. https://doi.org/10.1111/j.0021-9029.2006.00129.x.
Mini, C., T. Hogue, and S. Pincetl. 2014. “The effectiveness of water conservation measures on summer residential water use in Los Angeles, California.” Resour. Conserv. Recycl. 94 (Jan): 136–145. https://doi.org/10.1016/j.resconrec.2014.10.005.
Mora, M. 2011. “Validity and reliability in surveys.” Accessed February 22, 2018. http://www.relevantinsights.com/validity-and-reliability.
Morote, A., M. Hernández, and A. Rico. 2016. “Causes of domestic water consumption trends in the city of Alicante: Exploring the links between the housing bubble, the types of housing and the socio-economic factors.” Water 8 (9): 374. https://doi.org/10.3390/w8090374.
Motoshita, M., Y. Ono, S. Pfister, A. Boulay, M. Berger, K. Nansai, K. Tahara, N. Itsubo, and A. Inaba. 2018. “Consistent characterisation factors at midpoint and endpoint relevant to agricultural water scarcity arising from freshwater consumption.” Int. J. Life Cycle Assess. 23 (12): 2276–2287. https://doi.org/10.1007/s11367-014-0811-5.
Nieswiadomy, M. 1992. “Estimating urban residential water demand: Effects of price structure, conservation, and education.” Water Resour. Res. 28 (3): 609–615. https://doi.org/10.1029/91WR02852.
Olmstead, S., W. Hanemann, and R. Stavins. 2007. “Water demand under alternative price structures.” J. Environ. Econ. Manage. 54 (2): 181–198. https://doi.org/10.1016/j.jeem.2007.03.002.
Robinson, K., C. Robinson, and S. Hawkins. 2005. “Assessment of public perception regarding wastewater reuse.” Water Sci. Technol. Water Supply 5 (1): 59–65. https://doi.org/10.2166/ws.2005.0008.
Russell, S., and K. Fielding. 2010. “Water demand management research: A psychological perspective.” Water Resour. Res. 46 (5): W05302. https://doi.org/10.1029/2009WR008408.
Seyranian, V., G. Sinatra, and M. Polikoff. 2015. “Comparing communication strategies for reducing residential water consumption.” J. Environ. Psychol. 41 (Mar): 81–90. https://doi.org/10.1016/j.jenvp.2014.11.009.
Stren, P. C. 2000. “Toward a coherent theory of environmentally significant behaviour.” J. Social Issues 56 (3): 407–424.
Tanellari, E., D. Bosch, K. Boyle, and E. Mykerezi. 2015. “On consumers’ attitudes and willingness to pay for improved drinking water quality and infrastructure.” Water Resour. Res. 51 (1): 47–57. https://doi.org/10.1002/2013WR014934.
Thorvaldson, J., J. Pritchett, and C. Goemans. 2010. “Western households’ water knowledge, preferences, and willingness to pay.” Can. J. Agric. Econ./Revue canadienne d’agroeconomie 58 (4): 497–514. https://doi.org/10.1111/j.1744-7976.2010.01195.x.
Vasquez, W. 2014. “Willingness to pay and willingness to work for improvements of municipal and community-managed water services.” Water Resour. Res. 50 (10): 8002–8014. https://doi.org/10.1002/2014WR015913.
Wait, I., and W. Petrie. 2017. “Comparison of water pricing for publicly and privately owned water utilities in the United States.” Water Int. 42 (8): 967–980. https://doi.org/10.1080/02508060.2017.1406782.
Washington, S., M. Karlaftis, and F. Mannering. 2011. Statistical and econometric methods for transportation data analysis. 2nd ed. London: Chapman and Hall.
Washington, S., M. Karlaftis, F. Mannering, and P. Anastasopoulos. 2020. Statistical and econometric methods for transportation data analysis. 3rd ed. New York: CRC Press.
Worthington, A., and M. Hoffman. 2008. “An empirical survey of residential water demand modelling.” J. Econ. Surv. 22 (5): 842–871. https://doi.org/10.1111/j.1467-6419.2008.00551.x.
Yoo, J., S. Simonit, A. Kinzig, and C. Perrings. 2014. “Estimating the price elasticity of residential water demand: The case of Phoenix, Arizona.” Appl. Econ. Perspect. Policy 36 (2): 333–350. https://doi.org/10.1093/aepp/ppt054.
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Journal of Water Resources Planning and Management
Volume 146 • Issue 12 • December 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jul 23, 2019
Accepted: Jul 8, 2020
Published online: Sep 27, 2020
Published in print: Dec 1, 2020
Discussion open until: Feb 27, 2021
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