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Research Article

Detecting community response to water quality violations using bottled water sales

View ORCID ProfileMaura Allaire, Taylor Mackay, Shuyan Zheng, and Upmanu Lall
PNAS October 15, 2019 116 (42) 20917-20922; first published September 30, 2019; https://doi.org/10.1073/pnas.1905385116
Maura Allaire
aDepartment of Urban Planning and Public Policy, University of California, Irvine, CA 92697;
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  • ORCID record for Maura Allaire
  • For correspondence: maura.allaire@uci.edu
Taylor Mackay
bDepartment of Economics, University of California, Irvine, CA 92697;
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Shuyan Zheng
cColumbia Water Center, Columbia University, New York, NY 10027;
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Upmanu Lall
cColumbia Water Center, Columbia University, New York, NY 10027;
dDepartment of Earth and Environmental Engineering, Columbia University, New York, NY 10027
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  1. Edited by Arun Agrawal, University of Michigan, Ann Arbor, MI, and approved August 28, 2019 (received for review March 28, 2019)

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  • Fig. 1.
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    Fig. 1.

    National bottled water sales. The graph in A depicts national bottled water sales for each week during the 2006–2015 study period (in millions $2015). The map in B shows county-level, total bottled water sales per capita during the 2006–2015 study period (in $2015 per capita). Counties not included in the final sample are mostly attributable to insufficient sales data (SI Appendix, SI Data). Over 69% of counties and 95% of the population in the continental United States are represented in this study.

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    Fig. 2.

    Tier 1 violations of national primary drinking-water regulations. The graph in A shows the number of Tier 1 violations for each week during the 2006–2015 study period. Violation counts are presented separately for those attributable to 2 categorizations—nitrate (dashed gray line) and pathogens (solid orange line). The map in B depicts county-level, Tier 1 violations water sales per CWS, during the 2006–2015 study period.

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    Table 1.

    Public notification requirements for Tier 1 and Tier 2 violations

    Violation tierDeadline for first noticeRepeat noticesDelivery modesContaminants
    124 hAs directed by primacy agencyBroadcast media (radio, television)Fecal coliform, E. coli*
    Hand deliveryTurbidity†
    Posting in conspicuous locationsNitrate, nitrite‡
    Other methods approved by state
    230 dEvery 3 moMailAll other MCL, MRDL, TT violations§
    Hand delivery
    Other methods approved by state
    • ↵* Fecal coliform and total coliform are regulated under the Total Coliform Rule. Tier 1 violations are triggered by an MCL violation or failure to test for fecal coliform after a repeat sample tests positive for total coliform.

    • ↵† Turbidity is sampled as an indicator of microbial concerns under the Groundwater Rule and rules related to surface water treatment. A Tier 1 violation can occur due to MCL exceedance or failure to consult with primacy agency within 24 h of MCL exceedance. Elevated levels of turbidity can interfere with disinfection and promote growth of bacteria, viruses, and parasites (e.g., Cryptosporidium).

    • ↵‡ Nitrate and nitrite are regulated under the Phase II Rule. A Tier 1 violation can occur due to MCL exceedance or failure to take confirmation sample within 24 h of MCL exceedance.

    • ↵§ Tier 2 violations occur when water systems do not comply with other requirements related to MCL, maximum residual disinfectant level (MRDL), and treatment technique (TT).

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    Table 2.

    Estimated effects of quality violations on bottled water sales

    ViolationsTier 1Tier 2
    Model 1Model 2Model 3Model 4Model 5Model 6
    Any0.141***0.049***
    (0.051)(0.018)
    Pathogens0.143***0.088***
    (0.029)(0.023)
    Nitrate0.1410.040*
    (0.102)(0.022)
    Observations1,120,6661,120,6661,120,6661,120,6661,120,6661,120,666
    R20.9840.9840.9840.9840.9840.984
    • Coefficient estimates of β1 in Eq. 1, for 6 models. For model 1, the estimate represents the average percent change in sales associated with any type of Tier 1 violation; ***significant at the 1% level; *significant at the 10% level. SEs (in parentheses) clustered at county level. All regressions include year, week, and county fixed effects. In addition, regressions control for all variables presented in Eq. 1.

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    Table 3.

    Estimated effects of quality violations on bottled water sales, by demographic groups

    Rural, low incomeRural, high incomeNonrural, low incomeNonrural, high income
    Any Tier 10.1090.287***0.139**0.016
    (0.089)(0.079)(0.053)(0.055)
    Observations182,87193,776377,724466,295
    Tier 1: Pathogens0.167**0.165***0.137**0.115***
    (0.076)(0.061)(0.053)(0.028)
    Observations182,87193,776377,724466,295
    Tier 1: Nitrate0.0840.311***0.979***−0.270
    (0.113)(0.091)(0.278)(0.212)
    Observations182,87193,776377,724466,295
    • Coefficient estimates of β1 in Eq. 1, for 4 types of communities, described in SI Appendix, SI Materials and Methods; ***significant at the 1% level; **significant at the 5% level. SEs (in parentheses) clustered at county level. All regressions include year, week, and county fixed effects. In addition, regressions control for all variables presented in Eq. 1. Counties are designated as low-income if household income is below the median of the sample, based on the average income across all years for each county. Counties are classified as rural if average housing density across all years is <16 units per square mile, based on rural categories defined in ref. 22.

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Detecting community response to water quality violations using bottled water sales
Maura Allaire, Taylor Mackay, Shuyan Zheng, Upmanu Lall
Proceedings of the National Academy of Sciences Oct 2019, 116 (42) 20917-20922; DOI: 10.1073/pnas.1905385116

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Detecting community response to water quality violations using bottled water sales
Maura Allaire, Taylor Mackay, Shuyan Zheng, Upmanu Lall
Proceedings of the National Academy of Sciences Oct 2019, 116 (42) 20917-20922; DOI: 10.1073/pnas.1905385116
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