Determination of Willingness to Pay for Improved Water Supply in Selected Areas of Lahore

Sana Akhtar, Sarah Dean (), Faiza Anjum () and Maryam Javed ()
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Sana Akhtar: Department of Environmental Sciences, Kinnaird College for Women, 93 Jail Road, Lahore 54000, Pakistan
Sarah Dean: Department of Environmental Sciences, Kinnaird College for Women, 93 Jail Road, Lahore 54000, Pakistan
Faiza Anjum: Department of Environmental Sciences, Kinnaird College for Women, 93 Jail Road, Lahore 54000, Pakistan
Maryam Javed: Department of Environmental Sciences, Kinnaird College for Women, 93 Jail Road, Lahore 54000, Pakistan

Chinese Journal of Urban and Environmental Studies (CJUES), 2018, vol. 06, issue 02, 1-12

Abstract: Water scarcity is an alarming issue in the developing world. Due to population explosion, the supply of water to households is becoming difficult. And as the quality of water supply infrastructure is deteriorating, clean water is getting mixed with sewage and becoming a cause of waterborne diseases. This study was carried out in the city of Lahore, Pakistan, to find out the willingness to pay (WTP) for improved water supply by using Contingent Valuation Method (CVM). This study explores the relationship of WTP with socio-economic factors, i.e. income, accommodation and employment. Moreover, questionnaires were administered to randomly selected 200 respondents. For statistical analysis stepwise linear regression, Pearson correlation and chi square were employed to find out the variables that determine WTP for improved water supply quality. Results showed that income was the variable that most significantly impacted the WTP for improved water supply. The WTP amount was found to be 0.70 USD. People were not generally satisfied with the water supply quality. Unavailability of water for 1–2h per day was commonly reported by the respondents. However, more studies should be conducted with a larger sample size to enhance our knowledge about water supply situation in Lahore.

Keywords: Contingent Valuation Method (CVM); willingness to pay (WTP); regression model; improved water quality (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S2345748118500136

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