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Perceived pollution and health factors raise willingness to pay

A crowded urban street scene filled with vehicles and pedestrians under hazy atmospheric conditions, with multi-story buildings visible in the background and street-level shops and signage.
Research area:Economics, Econometrics and FinanceEconomics and EconometricsAir Quality and Health Impacts

What the study found: Households’ willingness to pay for improved urban air quality in Khulna City was associated with perceived air pollution, household respiratory illness, proximity to major roads, and informal occupations. Lower educational attainment reduced willingness to pay, while income and gender were not significant predictors.
Why the authors say this matters: The authors conclude that the findings indicate risk perception, health experience, and exposure shape environmental valuation behavior. They say the results offer local evidence to inform awareness actions and practical financing strategies for improving urban air quality in Bangladesh.
What the researchers tested: The study used face-to-face survey data from 385 households in Khulna City, Bangladesh. Willingness to pay was treated as a binary outcome and analyzed with logistic regression.
What worked and what didn't: About 41.8% of respondents reported willingness to pay. The model showed acceptable discrimination, with ROC-AUC reported as 0.72. Perceived air pollution, household respiratory illness, proximity to major roads, and engagement in informal occupations significantly increased willingness to pay, while lower educational attainment reduced it; income and gender were not significant.
What to keep in mind: The abstract does not describe additional limitations beyond the study’s focus on one city and the use of survey-based self-reported willingness to pay. The summary provided does not include further caveats.

Key points

  • 41.8% of surveyed households reported willingness to pay for improved air quality.
  • Perceived air pollution, household respiratory illness, proximity to major roads, and informal occupations were associated with higher willingness to pay.
  • Lower educational attainment was associated with lower willingness to pay.
  • Income and gender were not significant predictors in the model.
  • The logistic regression model showed acceptable discrimination (ROC-AUC = 0.72).

Disclosure

Research title:
Perceived pollution and health factors raise willingness to pay
Authors:
Tanvir Ahmed, Nure Jannat Arpa, Abdullah Al Zabir
Institutions:
Khulna University, Bangladesh Agricultural Research Institute
Publication date:
2026-04-07
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.