Evidence map›Paper›PMID 36685443›Full record

ArticleHeliyon2023

Influencing factors of urban residents' willingness to classify waste during COVID-19: The case of Hangzhou.

Ying Dong, Zhenyang Cao, Haiping Lyu, Zhiqi Zhao

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ying DongZhejiang University of Science and Technology, Liuhe Road 318, Hangzhou, China.
Zhenyang CaoZhejiang University of Science and Technology, Liuhe Road 318, Hangzhou, China.
Haiping LyuZhejiang University of Science and Technology, Liuhe Road 318, Hangzhou, China.
Zhiqi ZhaoZhejiang University of Science and Technology, Liuhe Road 318, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During COVID-19, the urban environment has faced more challenges, and household waste classification has become increasingly important. Based on the theory of planned behavior (TPB), this paper studies the key influencing factors and influence paths of urban residents' willingness to perform waste classification using a structural equation model. Based on the timing of two questionnaires, one before and one after the COVID-19 outbreak, we apply multigroup analysis to test the moderating role of the pandemic. We find that 1) social norms are the primary factor that directly affects residents' willingness to classify waste, followed by perceived behavior costs and behavior attitude. All factors show a positive effect, except for perceived behavior costs. We also find that 2) the results of multigroup analysis indicate that before and after the epidemic there are significant differences in the effect from three influencing paths, which verifies that during the epidemic, the influence paths of behavior attitude and perceived behavior costs on waste classification willingness have been strengthened, but the influence from social norms is weakened. Finally, we suggest that the government should keep playing an important role in waste classification in terms of promotion, reward and penalty, as well as improvement in laws, rules and waste classification facilities.

Indexed as

Behavior intentionMultigroup analysisStructural equation modelWaste classification

Identifiers

PMID36685443
PMCPMC9846878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.