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Perceptions of Quality and Household Water Usage: A Representative Study in Jacksonville, FL

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Abstract

When faced with the fear of low-quality tap water, households are motivated to seek out and use alternatives. This study investigated the role of quality perception and aesthetics on choices among three modes of household water usage: unfiltered tap water, filtered tap water, and bottled water. The data were based on a telephone survey of randomly selected households in Jacksonville, FL, conducted during March 2016. As the three modes of water usage were not mutually exclusive, a multivariate probit model was fitted and simultaneous parameter estimates were generated for each of three binary equations. The key results suggest that concerns regarding safety, contamination and sickness linked to unfiltered tap water are associated with increased bottled water usage in the home, but they have no effect on water filter usage. By contrast, complaints about foul-smelling water are associated with increased usage of water filters. In addition, the evidence implies that while water filter usage increases with household income, bottled water usage appears insensitive to changes in income. Finally, African-American households have a higher probability than other racial groups of using bottled water in the home, all else equal.

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Notes

  1. Model specifications were explored with separate coefficients for each government agency, but the high correlation among the variables introduced multicollinearity and reduced degrees of freedom. The estimation results were not qualitatively different.

References

  • Abdalla, C. W., Roach, B. A, & Epp, D. J. (1992). Valuing environmental quality changes using averting expenditures : An application to groundwater contamination. Land Economics, 163(2), 163–169, May 1992.

  • Abrahams, N. A., Hubbell, B. J., & Jordan, J. L. (2000). Joint production and averting expenditure measures of willingness to pay: Do water expenditures really measure avoidance costs? American Journal of Agricultural Economics, 82(2), 427–437, May 2000.

  • Alexander, K. S., Price, J. C., Browne, A. L., Leviston, Z., Bishop, B. J., & Nancarrow, B. E. (2008). Community perceptions of risk , trust and fairness in relation to the indirect potable use of purified recycled water in south East Queensland : A scoping report. Urban water security research Alliance, technical report no. 2. Queensland, Australia: CSIRO. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.424.508&rep=rep1&type=pdf. Accessed 2 February 2017.

  • American Association of Public Opinion Researchers. (2016). Response rates - an overview. https://www.aapor.org/Education-Resources/For-Researchers/Poll-Survey-FAQ/Response-Rates-An-Overview.aspx. Accessed 29 March 2017.

  • Anadu, E. C., & Harding, A. K. (2000). Risk perception and bottled water use. Journal of the American Water Works Association, 92(11), 82–92, November 2000.

  • Baskaran, R., Managi, S., & Bendig, M. (2013). A public perspective on the adoption of microgeneration technologies in New Zealand: A multivariate probit approach. Energy Policy, 58, 177–188, July 2013.

  • Beverage Marketing Corporation. (2017). Press Release: Bottled Water Becomes Number-One Beverage in the U.S. (p. 1). https://www.beveragemarketing.com/news-detail.asp?id=438. Accessed on 2 June 2018.

  • Bontemps, C., & Nauges, C. (2016). The impact of perceptions in averting-decision models: An application of the special regressor method to drinking water choices. American Journal of Agricultural Economics, 89(1), 297–313 January 2016.

    Article  Google Scholar 

  • Brox, J. A., Kumar, R. C., & Stollery, K. R. (2003). Estimating willingness to pay for improved water quality in the presence of item nonresponse bias. American Journal of Agricultural Economics, 85(2), 414–428, May 2003.

  • Cappellari, L., & Jenkins, S. P. (2003). Multivariate probit regression using simulated maximum likelihood. The Stata Journal, 3(3), 278–294, September 2003.

    Article  Google Scholar 

  • Castillo-Manzano, J. I. (2010). Determinants of commercial revenues at airports: Lessons learned from Spanish regional airports. Tourism Management, 31(6), 788–796, December 2010.

  • Chatterjee, C., Triplett, R., Johnson, C. K., & Ahmed, P. (2017). Willingness to pay for safe drinking water: A contingent valuation study in Jacksonville, FL. Journal of Environmental Management, 203, 413–421 December 2017.

    Article  Google Scholar 

  • Choo, S., & Mokhtarian, P. L. (2008). How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles. Transportation, 35(2), 145–163 March 2008.

    Article  Google Scholar 

  • Didier, S. (2013). Water Bottle Pollution Facts. San Francisco Chronicle. http://homeguides.sfgate.com/water-bottle-pollution-79179.html. Accessed 1 January 2017.

  • Duncan, S. (2010). We have drunken our water for money’: The political economy of bottled water, 1940–1995. Case Western Reserver University - Electronic Thesis. http://rave.ohiolink.edu/etdc/view?acc_num=case1275601437. Accessed on 25 March 2017.

  • Environmental Working Group. (2012). National Drinking Water Database. http://www.ewg.org/tapwater/whatsinyourwater/UT/BountifulCity/AH06015/Trichloroethylene/2984/atabase. Accessed on 4 February 2017.

  • Font-Ribera, L., Cotta, J. C., Gómez-Gutiérrez, A., & Villanueva, C. M. (2017). Trihalomethane concentrations in tap water as determinant of bottled water use in the city of Barcelona. Journal of Environmental Sciences, 58, 77–82 August 2017.

    Article  Google Scholar 

  • Gleick, P. H., & Cooley, H. S. (2009). Energy implications of bottled water. Environmental Research Letters, 4(1), 1–6, February 2009.

  • Gorelick, M. H., Gould, L., Nimmer, M., Wagner, D., Heath, M., Bashir, H., & Brousseau, D. C. (2011). Perceptions about water and increased use of bottled water in minority children. Archives of Pediatrics and Adolescent Medicine, 165(10), 928–932 October 2011.

    Article  Google Scholar 

  • He, S., Jordan, J., & Paudel, K. (2008). Economic evaluation of bottled water consumption as an averting means: Evidence from a hedonic price analysis. Applied Economics Letters, 15(5), 337–342, April 2008.

    Article  Google Scholar 

  • Hu, Z., Morton, L. W., & Mahler, R. L. (2011). Bottled water: United States consumers and their perceptions of water quality. International Journal of Environmental Research and Public Health, 8(2), 565–578 February 2011.

    Article  Google Scholar 

  • Hunter, P. R. (1993). The microbiology of bottled natural mineral waters. Journal of Applied Bacteriology, 74(4), 345–352, April 1993.

    Article  Google Scholar 

  • Jacksonville Electric Authority. (2017). Frequent water questions. https://www.jea.com/about/water_supply/frequent_water_questions/. Accessed on 30 March 2017.

  • Jeuland, M., Orgill, J., Shaheed, A., Revell, G., & Brown, J. (2016). A matter of good taste: Investigating preferences for in-house water treatment in peri-urban communities in Cambodia. Environment and Development Economics, 21(3), 291–317 June 2016.

    Article  Google Scholar 

  • Kohut, A., Keeter, S., Doherty, C., Dimock, M., & Christian, L. (2012). Assessing the representativeness of public opinion surveys. Pew Research Center, Washington, DC. http://www.people-press.org/files/legacy-pdf/assessing the representativeness of public opinion surveys.pdf. Accessed on 2 March 2017.

  • Koo, Y., Lim, S., Kim, K., & Cho, Y. (2014). Analysis of user characteristics regarding social network services in South Korea using the multivariate probit model. Technological Forecasting and Social Change, 88, 232–240 October 2014.

    Article  Google Scholar 

  • Kpadonou, R. A. B., Owiyo, T., Barbier, B., Denton, F., Rutabingwa, F., & Kiema, A. (2017). Advancing climate-smart-agriculture in developing drylands: Joint analysis of the adoption of multiple on-farm soil and water conservation technologies in west African Sahel. Land Use Policy, 61, 196–207, February 2017.

  • Kumar Kaushal, R. (2014). Arsenic removal from water by physico-chemical approach – A low-cost treatment option. International Research Journal of Public and Environmental Health, 1(1), 10–18, March 2014.

  • Lalumandier, J. a., & Ayers, L. W. (2000). Fluoride and bacterial content of bottled water vs tap water. Archives of Family Medicine, 9(3), 246–250 June 2000.

    Article  Google Scholar 

  • Moffat, B., Motlaleng, G., & Thukuza, A. (2011). Households willingness to pay for improved water quality and reliability of supply in Chobe ward, Maun. Botswana Journal of Economics, 8(12), 45–61 January 2011.

    Google Scholar 

  • National Realty & Development Corporation. (2010). Bottled water - executive summary. Bottled Water: Pure Drink or Pure Hype? http://www.nrdc.org/water/drinking/bw/exesum.asp. Accessed on 20 March 2017.

  • Royce, E. (2008). Bottlemania: How water went on Sale and why we bought it (pp. 112–174). New York: Bloomsbury.

    Google Scholar 

  • Saleh, M. A., Ewane, E., Jones, J., & Wilson, B. L. (2001). Chemical evaluation of commercial bottled drinking water from Egypt. Journal of Food Composition and Analysis, 14(2), 127–152, April 2001.

    Article  Google Scholar 

  • Simons, D. J. (2000). Attentional capture and inattentional blindness. Trends in Cognitive Sciences, 4(4), 147–155, April 2000.

    Article  Google Scholar 

  • Sobsey, M. D., Stauber, C. E., Casanova, L. M., Brown, J. M., & Elliott, M. A. (2008). Point of use household drinking water filtration: A practical, effective solution for providing sustained access to safe drinking water in the developing world. Environmental Science and Technology, 42(12), 4261–4267, March 2008.

  • Tanellari, E., Bosch, D., Boyle, K., & Mykerezi, E. (2015). On consumers’ attitudes and willingness to pay for improved drinking water quality and infrastructure. Water Resources Research, 51(1), 47–57, January 2015.

  • U.S. Census Bureau. (2015). American community survey 5-year estimates. American Commnity Survey - Demographic and Housing. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=CF. Accessed on 15 March 2017.

  • U.S. Government Accountability Office. (2009). FDA safety and consumer protections are often less stringent than comparable EPA protections for tap water. https://www.gao.gov/assets/300/291465.pdf. Accessed 15 June 2018.

  • Um, M., Kwak, S., & Kim, T. (2002). Estimating willingness to pay for improved drinking water quality using averting behavior method with perception measure. Environmental and Resource Economics, 21(3), 285–300 March 2002.

    Article  Google Scholar 

  • Vasquez, W.F., Mozumder, P., & Francheschi, D. (2015). Water quality, household perceptions and averting behavior: Evidence from Nicaragua. Water Economics and Policy, 1(4), 1–21, December 2015.

  • Viscusi, W. K., Huber, J., & Bell, J. (2012). Alternative policies to increase recycling of plastic water bottles in the United States. Review of Environmental Economics and Policy, 6(2), 190–211 July 2012.

    Article  Google Scholar 

  • Viscusi, W. K., Huber, J., & Bell, J. (2015). The private rationality of bottled water drinking. Contemporary Economic Policy, 33(3), 450–467 July 2015.

    Article  Google Scholar 

  • Weber, C., & McCann, L. (2015). Adoption of nitrogen-efficient technologies by U.S. corn farmers. Journal of Environmental Quality, 44(2), 391–401, March 2015.

  • Westerhoff, P., Prapaipong, P., Shock, E., & Hillaireau, A. (2008). Antimony leaching from polyethylene terephthalate (PET) plastic used for bottled drinking water. Water Research, 42(3), 551–556, February 2008.

  • Yoo, S. H. (2005). Analysing household bottled water and water purifier expenditures: Simultaneous equation bivariate Tobit model. Applied Economics Letters, 12(5), 297–301 April 2005.

    Article  Google Scholar 

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Acknowledgements

We acknowledge support from the Environmental Center, University of North Florida (Seed Grant, 2015). We are thankful to Dr. Michael Binder (Faculty Director, Public Opinion Research Laboratory) and Andrew Hopkins (Coordinator, Public Opinion Research Laboratory) for their support in pursuing the survey, and to Art Sams for providing excellent research assistance. Lastly, we are very much thankful to Dr. Mary Beal for her involvement and all the students who volunteered their time for the survey. Dr. David Lambert at the University of North Florida (Director, Environmental Center) provided very useful comments. However, the opinions expressed here are solely those of the authors.

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Correspondence to Russell Triplett.

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Triplett, R., Chatterjee, C., Johnson, C.K. et al. Perceptions of Quality and Household Water Usage: A Representative Study in Jacksonville, FL. Int Adv Econ Res 25, 195–208 (2019). https://doi.org/10.1007/s11294-019-09735-6

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