Evidence map›Paper›PMID 31230139›Full record

ArticleEnvironmental monitoring and assessment2019

A contingent valuation approach to evaluating willingness to pay for an improved water pollution management system in Dhaka City, Bangladesh.

Farhana Sehreen, Muhammad Mehedi Masud, Rulia Akhtar, Md Razu Ahmad Masum

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Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Farhana SehreenDepartment of Marketing, Faculty of Business Studies, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Muhammad Mehedi MasudDepartment of Development Studies, Faculty of Economics and Administration, University of Malaya, 50603, Kuala Lumpur, Malaysia. mehedi@um.edu.my.
Rulia AkhtarVisiting Research Fellow, Ungko Aziz Center for Development Studies (UACDS), Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia.
Md Razu Ahmad MasumTransparency International Bangladesh (TIB), MIDAS Center, Dhanmondi, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The city of Dhaka has been ranked repeatedly as the most polluted, the most populous, and the most unbearable city in the world. More than 19.5 million inhabitants live in Dhaka, and the population growth rate of urban areas in Bangladesh is almost double that of rural areas. Rapid urbanization is one of the leading contributors to water pollution in Dhaka and could prevent the country from achieving sustainable development. Therefore, this study estimates respondents' willingness to pay (WTP) to improve water pollution management systems and identifies factors that influence WTP in Dhaka. This study employed the contingent valuation method (CVM) to estimate WTP of the respondents. Data were collected using a structured questionnaire with CVM questions, which was distributed to households in the study areas. The results revealed that 67% of the respondents are willing to pay for an improved water pollution management system, while 31.8% of households are unwilling to pay. The study also found that socio-economic factors (e.g., income and education) and perception significantly influence WTP. Therefore, this paper will provide directives for policymakers in developing an effective policy framework, as well as sensitize all stakeholders to the management of water pollution in Dhaka. The study suggests that social institutions, financial institutions, banks, non-government organizations (NGOs), insurance companies, and the government could provide effective outreach programs for water pollution management as part of their social responsibility.

Indexed as

AdolescentAdultBangladeshCitiesDrinking WaterEnvironmental MonitoringEnvironmental Restoration and RemediationFamily CharacteristicsFemaleHumansIncomeMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesWater PollutionDrinking WaterDhaka CityHouseholdsRapid urbanizationWater pollution managementWillingness to pay

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.