ArticleHeliyon2024
Who pays for clean air, and why?: Analyzing the impact of resource, planned behavior, and government/policy factors on the multidimensional willingness to pay for reducing the particulate matter.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore the determinants of willingness to pay for fine particulate matter reduction. Previous studies were mostly based on simple causal models, with few or similar predictors affecting a single dimension of willingness to pay. This study adopted a multidimensional model, dividing willingness to pay into three categories: cost burden, benefit to the community and benefit to specific groups. The independent variables were resources, planned behavior, and government/policy factors, with a total of 12 variables. The analysis showed that, first, the determinant structure varied across the dimensions of willingness to pay. Second, facility resources, information, personal norms, social norms, perceived control, trust in government, policy satisfaction, policy preference, and policy knowledge had significant positive effects on willingness to pay. Third, policy satisfaction and social norms had high explanatory power for willingness to pay for cost burden; policy preference and personal norms for benefit to community; and policy knowledge, policy preference, and perceived control for benefit to specific groups.
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Registered trials
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.