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Analysis on the influencing factors of residents dispose of discarded masks base on Probit regression model

IOP Conference Series Earth and Environmental Science 2022
Lijun Yang, Weicheng Fang, Shuosi Zheng, Xinqi Huang

Summary

This survey study used a Probit regression model to analyze factors influencing how residents in Dongguan, China disposed of discarded masks during the COVID-19 pandemic. Availability of disposal bins, environmental concern, and education level were key predictors of proper mask disposal behavior.

Polymers

Abstract Objective Understanding the influencing factors of discarded masks disposed by residents in Dongguan City during the period of COVID-19 epidemic, so as to provide basis for avoiding the environmental pollution caused by discarded masks in the future. Methods Using random sampling way to make an Internet questionnaire survey among 1042 permanent residents in Dongguan city and using Probit regression model to analyze the current situation and influencing factors of disposing the discarded masks. Results The installation of disposal bins, residents’ environmental concern level and education level positively influenced the residents’ disposal behavior, while the residents’ age and total household size negatively influenced the residents’ willingness to dispose. These influencing factors are basically consistent with those derived from other scholars’ studies on residents’ willingness to dispose of household waste, it shows that residents do not treat the disposal of discarded masks differently from other household waste and ignore the potential environmental hazards of discarded masks. Conclusion In order to motivate residents to properly dispose of discarded masks, it is necessary to clarify and standardize the requirements for discarded mask disposal and increase publicity to enhance the public’s awareness of environmental concerns and hygiene. To avoid environmental problems such as microplastics brought by discarded masks, disposable masks should be replaced by reusable elastic respirators; the use of polypropylene in masks should be reduced; new mask materials should be developed.

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