On consumers' attitudes and willingness to pay for improved drinking water quality and infrastructure

This paper examines the determinants of consumers' willingness to pay for improvement programs for three drinking water issues: water quality, pinhole leaks in home plumbing infrastructure, and aging public infrastructure. The research is based on a mail survey of consumers in Northern Virginia and the Maryland suburbs of Washington, D. C. The analysis focuses on the relationship between information, risk perceptions, and willingness to pay. An alternative specific conditional logit model is used to model consumers' willingness to pay for improvements. Results indicate that the willingness to pay for any of the programs is negatively affected by the cost of the proposed improvement. Consumers' risk perceptions, the external information provided in the survey, and whether they read the annual report from their water utility affect consumers' willingness to pay for improvement programs.

[1]  Angela P. Wetzel Internet, mail, and mixed‐mode surveys: The tailored design method , 2010 .

[2]  Denise J. Luethge,et al.  Toward an integrated framework for online consumer behavior and decision making process: A review , 2010 .

[3]  Marc Edwards,et al.  Elevated blood lead in young children due to lead-contaminated drinking water: Washington, DC, 2001-2004. , 2009, Environmental science & technology.

[4]  Ewa J. Kleczyk,et al.  Incidence and costs of home plumbing corrosion , 2008 .

[5]  S. Gerking,et al.  Altruism and environmental risks to health of parents and their children , 2007 .

[6]  Timothy C. Haab,et al.  Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation , 2002 .

[7]  R. M. Clark,et al.  Water quality and the replacement and repair of drinking water infrastructure: the Washington, DC case study , 1999 .

[8]  Gregory L. Poe,et al.  Valuing the Incremental Benefits of Groundwater Protection when Exposure Levels are Known , 1999 .

[9]  Miles S. Kimball,et al.  Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey , 1995 .

[10]  J. Powell,et al.  Groundwater Protection Benefits and Local Community Planning: Impact of Contingent Valuation Information , 1994 .

[11]  Chung L. Huang Simultaneous‐Equation Model for Estimating Consumer Risk Perceptions, Attitudes, and Willingness‐to‐Pay for Residue‐Free Produce , 1993 .

[12]  J. Jordan,et al.  Willingness to pay for improvements in drinking water quality , 1993 .

[13]  Robert Cameron Mitchell,et al.  Using Surveys to Value Public Goods: The Contingent Valuation Method , 1989 .

[14]  William H. Desvousges,et al.  Option price estimates for water quality improvements: A contingent valuation study for the monongahela river , 1987 .

[15]  D. Dillman Mail and telephone surveys : the total design method , 1979 .

[16]  M Edwards,et al.  Controlling corrosion in drinking water distribution systems: a grand challenge for the 21st century. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[17]  Kevin J. Boyle,et al.  Contingent Valuation in Practice , 2003 .

[18]  K. McConnell,et al.  Valuing Environmental and Natural Resources , 2002 .

[19]  B. Melenberg,et al.  Estimating Risk Attitudes using Lotteries: A Large Sample Approach , 1999 .