Evidence map›Paper›PMID 33006098›Full record

ArticleEnvironmental science and pollution research international2021

Air pollution and its economic impacts at household level: willingness to pay for environmental services in Pakistan.

Quratul Ain, Raza Ullah, Muhammad Asif Kamran, Farhad Zulfiqar

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Quratul AinInstitute of Agricultural and Resource Economics, University of Agriculture Faisalabad, Faisalabad, Pakistan.
Raza UllahInstitute of Agricultural and Resource Economics, University of Agriculture Faisalabad, Faisalabad, Pakistan.
Muhammad Asif KamranInstitute of Agricultural and Resource Economics, University of Agriculture Faisalabad, Faisalabad, Pakistan.
Farhad ZulfiqarDepartment of Economics, Faculty of Business Administration, COMSATS University Islamabad, Islamabad, 45550, Pakistan. farhad.zulfiqar@comsats.edu.pk.ORCID http://orcid.org/0000-0002-3945-9172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution has become a major global problem. Thus, the goal of this study was to find out the economic impacts (treatment cost) of air pollution on households as well as the principal factors inducing an individual's willingness to pay for better air quality. District Faisalabad was purposively selected for sampling, as it is a major industrial hub in Pakistan. The required information was collected from 120 sampled respondents through a structured questionnaire. The ordinary least squares method was used for assessing the impact of various factors on the treatment cost of the most recent episode of ailment related to air pollution. The ordered logit model was used to assess the impacts of factors affecting the willingness to pay for programs aimed at the provision of better environmental services. The results revealed that high air pollution in the urban area resulted in more lost workdays and higher health costs. The findings also showed that people were willing to pay for better air quality in urban areas than in rural areas. Based on the findings, it is suggested that the incentive schemes may be designed for the promotion of cleaner services in rural and urban areas.

Indexed as

Air PollutionFamily CharacteristicsHumansPakistanRural PopulationSurveys and QuestionnairesAir pollutionAir qualityEnvironmental servicesOrder logit modelRural pollutionUrban pollutionWillingness to pay

Identifiers

What OpenQuestion holds

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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.