» Articles » PMID: 35682113

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

Overview
Publisher MDPI
Date 2022 Jun 10
PMID 35682113
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior.

Mouloudj K, Njoku A, Asanza D, Bouarar A, Evans M, Mouloudj S Int J Environ Res Public Health. 2023; 20(16).

PMID: 37623170 PMC: 10454758. DOI: 10.3390/ijerph20166584.


External Factors Impacting Residents' Participation in Waste Sorting Using NCA and fsQCA Methods on Pilot Cities in China.

Jin B, Li W Int J Environ Res Public Health. 2023; 20(5).

PMID: 36901091 PMC: 10001695. DOI: 10.3390/ijerph20054080.


Influence of multi-dimensional environmental knowledge on residents' waste sorting intention: Moderating effect of environmental concern.

He Z, Liu Y, Liu X, Wang F, Zhu H Front Psychol. 2022; 13:957683.

PMID: 36524171 PMC: 9745202. DOI: 10.3389/fpsyg.2022.957683.


An Intelligent Waste-Sorting and Recycling Device Based on Improved EfficientNet.

Feng Z, Yang J, Chen L, Chen Z, Li L Int J Environ Res Public Health. 2022; 19(23).

PMID: 36498058 PMC: 9740151. DOI: 10.3390/ijerph192315987.


The Perception and Attitude of Farmers toward Domestic Waste Classifications: A Case Study on Wusheng County, Sichuan Province, China.

Wang X, Tan J Int J Environ Res Public Health. 2022; 19(20).

PMID: 36294079 PMC: 9603105. DOI: 10.3390/ijerph192013499.

References
1.
Li X, Bi F, Han Z, Qin Y, Wang H, Wu W . Garbage source classification performance, impact factor, and management strategy in rural areas of China: A case study in Hangzhou. Waste Manag. 2019; 89:313-321. DOI: 10.1016/j.wasman.2019.04.020. View

2.
Zhang B, Lai K, Wang B, Wang Z . From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting?. J Environ Manage. 2018; 233:447-458. DOI: 10.1016/j.jenvman.2018.12.059. View

3.
De Lucia C, Pazienza P . Market-based tools for a plastic waste reduction policy in agriculture: A case study in the south of Italy. J Environ Manage. 2019; 250:109468. DOI: 10.1016/j.jenvman.2019.109468. View

4.
Wang S, Wang J, Yang S, Li J, Zhou K . From intention to behavior: Comprehending residents' waste sorting intention and behavior formation process. Waste Manag. 2020; 113:41-50. DOI: 10.1016/j.wasman.2020.05.031. View

5.
Yu T, Yu T . The Moderating Effects of Students' Personality Traits on Pro-Environmental Behavioral Intentions in Response to Climate Change. Int J Environ Res Public Health. 2017; 14(12). PMC: 5750891. DOI: 10.3390/ijerph14121472. View