Evidence map›Paper›PMID 35409874›Full record

ArticleInternational journal of environmental research and public health2022

Factors Influencing the Waste Separation Behaviors of Urban Residents in Shaanxi Province during the 14th National Games of China.

Daoyan Guo, Xinping Wang, Taozhu Feng, Shuai Han

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Daoyan GuoSchool of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Xinping WangSchool of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Taozhu FengSchool of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Shuai HanCollege of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The behaviors of urban residents in terms of waste separation at source are crucial to achieve the reduction and recycling of waste in urban governance. In this study, the data were collected from 1008 respondents in Shaanxi province, the host of China's 14th National Games; theoretical and empirical analyses were conducted to determine the factors influencing waste separation behaviors, and specific policy suggestions are proposed. The results show that the waste separation behaviors of urban residents are positively influenced by their cognition of waste pollution, ecological values, sense of social responsibility, perceived knowledge, and perceived utilities of waste separation. Moreover, the residents' waste separation intentions partially mediate the relationships between their cognition of waste pollution, ecological values, perceived utilities, and waste separation behaviors, which almost totally mediate the relationship between their sense of social responsibility and waste separation behaviors. In addition, it was shown that the cost of waste separation can weaken the effect of waste separation intention on behavior, while waste separation facilities, social norms, and the publicity for China's 14th National Games have the opposite effect. Finally, policy suggestions are proposed to encourage urban residents to adopt waste separation behaviors, contributing to transforming Shaanxi into a zero-waste province.

Indexed as

IntentionRecyclingChinaHumansPolicyUrban PopulationChinamunicipal solid wastepolicy suggestionurban residentswaste separation behavior

Identifiers

PMID35409874
PMCPMC8998419

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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.