Factors explaining household payment for potable water in South Africa

Akinyemi, Babatope Ebenezer; Mushunje, Abbyssinia; Fashogbon, Ayodele

doi:10.1080/23311886.2018.1464379

Cited by 16 publications

(19 citation statements)

References 13 publications

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“…We expect that wealth and other socio-demographic characteristics, like those identified in previous studies [ 8 , 9 , 10 , 11 , 12 , 13 ] and in particular for South Africa [ 40 ], are associated with inequalities in access to safe drinking water in informal settlements as well.…”

Section: Introductionmentioning

confidence: 88%

Socio-Economic Inequalities in Access to Drinking Water among Inhabitants of Informal Settlements in South Africa

Oskam

Pavlova

Hongoro

et al. 2021

IJERPH

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While evidence from several developing countries suggests the existence of socio-economic inequalities in the access to safe drinking water, a limited number of studies have been conducted on this topic in informal settlements. This study assessed socio-economic inequalities in the use of drinking water among inhabitants of informal settlements in South Africa. The study used data from “The baseline study for future impact evaluation for informal settlements targeted for upgrading in South Africa.” Households eligible for participation were living in informal settlements targeted for upgrading in all nine provinces of South Africa. Socio-economic inequalities were assessed by means of multinomial logistic regression analyses, concentration indices, and concentration curves. The results showed that the use of a piped tap on the property was disproportionately concentrated among households with higher socio-economic status (concentration index: +0.17), while households with lower socio-economic status were often limited to the use of other inferior (less safe or distant) sources of drinking water (concentration index for nearby public tap: −0.21; distant public tap: −0.17; no-tap water: −0.33). The use of inferior types of drinking water was significantly associated with the age, the marital status, the education status, and the employment status of the household head. Our results demonstrate that reducing these inequalities requires installing new tap water points in informal settlements to assure a more equitable distribution of water points among households. Besides, it is recommended to invest in educational interventions aimed at creating awareness about the potential health risks associated with using unsafe drinking water.

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Section: Introductionmentioning

confidence: 88%

Socio-Economic Inequalities in Access to Drinking Water among Inhabitants of Informal Settlements in South Africa

Oskam

Pavlova

Hongoro

et al. 2021

IJERPH

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“…It is commonly accepted that sustaining human life and ensuring good health and human dignity are directly associated with the provision of potable water, sanitation, and hygiene (Akinyemi et al 2018). This encourages the formation of a more reasonable, productive, and healthier community structure.…”

Section: The Context Of Drinking Water Supply In Developing Countriesmentioning

confidence: 99%

“…Generally, evidence suggests that people's health and living conditions can be improved by preventing the spread of fatal diseases through improved water access (Akinyemi et al 2018). Therefore, working toward improved water access substantially helps to address the challenges of poverty, hunger, health, and inequality in an integrated approach (WaterAid 2017).…”

Section: The Context Of Drinking Water Supply In Developing Countriesmentioning

confidence: 99%

Valuing the water supply: ecosystem-based potable water supply management for the Legedadie-Dire catchments, Central Ethiopia

2019

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Background: There is a substantial interest in the values that consumers place on drinking water quality and supply. Financial resources are crucial to improving the urban potable water supply in developing countries that are characterized by low-cost recovery rates and a high and rapidly growing demand for more reliable services. This study examined households' willingness to pay (WTP) for the improvement of water services by identifying their water choice decisions and the mode of water supply that they prefer the water supply authority to use among several alternative water supply options. Stated-preference data were collected from 322 randomly selected households in Addis Ababa, who were presented with three sets of choices (three alternative bundle choices, including the reference scenario). The data were analyzed using the mixed logit WTP space model. Three approaches to modeling the distribution of WTP (fixed, uncorrelated, and correlated) using mixed logit WTP space models were compared. Results: Three-quarters of the households agreed to contribute money toward ecosystem-based water supply management (EBWSM) intervention programs on a monthly basis. The average contribution that the respondents were willing to pay was 150.5 Ethiopian Birr (ETB) as a one-off lump sum to kick off the EBWSM activities. Most of the respondents chose a bundle of water supply options that provides risk-free and high-quality water with no months of shortages than moderate water quality that is safe to drink and palatable with 1 month shortages annually. This implies that households would need to be supplied with risk-free, high-quality water without interruption at an appropriate flow pressure. The model with correlations fitted the data well with the highest simulated log-likelihoods at convergence and gave the best estimate of the households' WTP for water improvement. Nearly 46% of the sampled households were willing to pay more than 33 ETB per month, and 49% of the households were willing to pay between 21 ETB and 33 ETB per month for the monthly water bill. Overall, approximately 95% of the sampled households were willing to pay more than 21 ETB. Conclusion: Customers are willing to pay to avoid most types of water supply restrictions. Moreover, WTP is sensitive to the scope of service improvement, income, affixed price, and elicitation method. In summary, mixed logit WTP-space models can help accurately predict household-level WTP, which can be used to select improvements in drinking water access and services in the Legedadie-Dire catchments.

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“…Water scarcity now affects more than 40% of worldwide populations, and by 2030, water demand is expected to grow by 50%. Maintaining current water use in South Africa is expected to produce 17% of the water deficit by 2030 (Akinyemi, Mushunje, & Fashogbon, 2018).…”

Section: Introductionmentioning

confidence: 99%

What Determines Households’ Willingness to Pay for Clean Water?

Muazzinah¹,

Majid²,

Syathi³

2020

EDAJ

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This study aims to measure the households' Willingness to Pay (WTP) for clean water in Aceh Besar Regency and its determinants (i.e., income, education, family size, gender, and age). Of 16,164 households who have no access to clean water across seven sub-districts in the Aceh Besar region, 154 of them were selected as the sample of the study using a multi-stage random sampling technique. To measure the households' WTP for clean water and its determinants, this study uses the contingent valuation and multiple regression techniques. The study recorded that the average households' WTP for clean water was IDR444,123.38 per month. Based on multiple regression model, except for the variables of gender and age that have insignificant effect, the level of income, education, and family size were found to affect the households' WTP for clean water positively. These findings imply that to enhance households' WTP for clean water, the government should prioritize the rural-based economic, education, and family planning programs. Providing a more clean water distribution, followed by improving water and services quality at affordable prices would help the government to realize 100% access to clean water for all citizens in accordance with one of the SDGs' pillars.

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Factors explaining household payment for potable water in South Africa

Cited by 16 publications

References 13 publications

Socio-Economic Inequalities in Access to Drinking Water among Inhabitants of Informal Settlements in South Africa

Socio-Economic Inequalities in Access to Drinking Water among Inhabitants of Informal Settlements in South Africa

Valuing the water supply: ecosystem-based potable water supply management for the Legedadie-Dire catchments, Central Ethiopia

What Determines Households’ Willingness to Pay for Clean Water?

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