scholarly journals College Students’ Willingness to Separate Municipal Waste and Its Influencing Factors: A Case Study in Chongqing, China

2021 ◽  
Vol 13 (22) ◽  
pp. 12914
Author(s):  
Xingyu Yang ◽  
Xiaoyi Chen ◽  
Xinyue Xiao ◽  
Haode Xi ◽  
Shiwei Liu

College students are the engine of the sustainability of the future, and their awareness of environmental protection and waste classification is very important for the sustainable implementation of urban solid waste separation projects. Chongqing is one of the first 46 waste separation pilot cities in China. The primary objective of this study was to investigate the municipal waste separation behavior of college students and its influencing factors. Data from a total of 814 questionnaires among college students from sixteen universities in Chongqing were collected. Results showed that most college students think it is necessary to separate waste, and they have executed it in their daily life. Students have a high accuracy in classifying perishable waste, but they are not familiar with the classification of waste lamps, bulbs (14.00%), expired drugs (30.71%), toilet paper (11.3%), peel (18.80%) and brick kilns (27.76%). Special attention should be paid to distinguishing recyclables and other wastes. The principal factors that affect students’ willingness to classify waste are attitude, situational factors and publicity and education, which are embodied in students’ attitude towards waste separation, the surrounding environmental hygiene, the convenience of waste separation, the ease of understanding of waste separation marks and the degree of publicity and education of the school. Four measures are recommended for improving students’ willingness to separate municipal waste based on this investigation.

2020 ◽  

<p>Urban household waste causes serious pollution of the urban ecological environment. Waste separation and processing is an effective approach to reduce the ecological environment damage caused by household waste. From the perspective of the source of urban household waste separation, this paper investigates the influencing factors of the willingness of urban residents to separate household waste based on the theory of planned behavior. Through regression analysis, it was found that: Firstly, waste separation attitude, waste separation cognition, subjective norm, perceived behavioral control, and situational factors have significant positive impacts on the willingness of urban residents to separate waste, and the degrees of these impacts show a decreasing order; Secondly, the willingness to separate waste has a significant positive impact on the implementation of urban residents’ actions to separate waste.</p>


Author(s):  
Lingling Pan ◽  
Wei Hu ◽  
Wenjuan Han ◽  
Yingying Wang

AbstractTo research the influencing factors of college students' blood donation behavior intention and propose intervention strategies to improve the repeated blood donation rate of college students. Questionnaire survey was used to research and analyze the influencing factors of behavior intention. Amos 21.0 software was used to establish structural equation modeling and perform confirmatory factor analysis. SPSS 20.0 was used for statistic. The model was proved with highly adaptability, with χ2/df = 2.956 < 3. Factors influencing college students' intention of repeat blood donation behavior can be summarized into four: attitude, external motivation, advice-taking, and perceived behavioral control. Among them, attitude and perceived behavioral control have a great direct impact on behavioral intention, while the external motivation and recommendation acceptance have an indirect impact by influencing the other two factors. In view of those evaluation items with high path coefficient in each factor, we can develop recruitment strategies to influence college students’ repeated blood donation behavior and provide scientific suggestions for improving their repeated blood donation rate.


2021 ◽  
Vol 3 (4) ◽  
pp. 349-357
Author(s):  
Lei Zhu ◽  
Chen Zixin ◽  
Gui Xianfeng ◽  
Yu Yuwei ◽  
Xie Yuan

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