Evidence map›Paper›PMID 35682113›Full record

ArticleInternational journal of environmental research and public health2022

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai.

Decai Tang, Lei Shi, Xiaojuan Huang, Ziqian Zhao, Biao Zhou, Brandon J Bethel

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An Intelligent Waste-Sorting and Recycling Device Based on Improved EfficientNet.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. 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

6 authors.

Decai TangSchool of Law and Public Affairs, Nanjing University of Information Science & Technology, Nanjing 210044, China.ORCID 0000-0003-4447-2619
Lei ShiSchool of Law and Public Affairs, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Xiaojuan HuangSchool of Business, Jiangsu Open University, Nanjing 210000, China.
Ziqian ZhaoChina Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Biao ZhouSchool of Foreign Languages, Nangjing University of Finance and Economics, Nanjing 210023, China.
Brandon J BethelSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China.ORCID 0000-0001-5312-091X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the process of urbanization in China continues to accelerate, the amount of domestic waste generated correspondingly increases and directly affects the living space of residents. This indirectly implies that to reduce the production of municipal solid waste and the need for garbage disposal and recycling, household-waste-classification activities by the residents are of great significance. Using Shanghai as a case study, this study investigated the influencing factors on residents' household waste classification by conducting a survey. Statistical analysis was then adopted, which is specified below. First, this study proposed research hypotheses related to the influencing factors of residents' domestic-waste-sorting behavior from three levels: government, society and individuals. Second, the study designed a questionnaire from five perspectives: individual characteristic variables, government, society, residents and classification behavior. Then, SPSS software was used to carry out descriptive statistical, reliability and validity assessments using ANOVA, correlation and regression analyses on the sample data obtained from the questionnaire. The results suggested that the research hypotheses were statistically significant: (1) females and residents with higher education were more likely to participate in domestic waste classification; (2) reward and punishment measures had the most significant impact on residents' waste-classification behavior; and (3) publicity and education, classification standards, classification facilities, the recycling system, subjective norms, environmental knowledge and environmental attitudes all had a positive effect on residents' household waste classification. Finally, based on the results of the empirical analysis, this paper provides reference suggestions for the further development of domestic waste classification in Shanghai.

Indexed as

Refuse DisposalWaste ManagementChinaFemaleHumansReproducibility of ResultsSolid WasteUrban PopulationSolid Wasteempirical analysishousehold waste classificationinfluencing factors

Identifiers

PMID35682113
PMCPMC9180709

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.