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外部因素对中国试点城市居民参与垃圾分类的影响:基于 NCA 和 fsQCA 方法的研究

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

机构信息

School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 24;20(5):4080. doi: 10.3390/ijerph20054080.

DOI:10.3390/ijerph20054080
PMID:36901091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10001695/
Abstract

Recycling waste is important as it can help to reduce environmental pollution caused by "waste siege". Source classification is an important part of the municipal solid waste (MSW) sorting process. The factors that prompt residents to participate in waste sorting have been debated by scholars in recent years; however, there are not many papers that focus on the complex relationships between them. This study reviewed the literature that concerns residents' participation in waste sorting, and it summarized the external factors that might influence residents' participation. Then, we focused on 25 pilot cities in China, and we analyzed the configuration impact of external factors on residents' participation using a necessary condition analysis (NCA) and a fuzzy-set qualitative comparative analysis (fsQCA). We found no consistency between variables, nor was there one single condition that caused residents to participate in waste sorting. There are two main methods (environment-driven and resource-driven) that can help achieve a high participation rate, and three methods that can cause a low participation rate. This study provides suggestions for the implementation of waste sorting in other cities in China, as well as developing countries, with an emphasis on the importance of public participation.

摘要

回收废物很重要,因为它有助于减少“垃圾围城”造成的环境污染。源头分类是城市固体废物(MSW)分类过程的重要组成部分。近年来,学者们一直在争论促使居民参与垃圾分类的因素,但关注它们之间复杂关系的论文并不多。本研究回顾了有关居民参与垃圾分类的文献,总结了可能影响居民参与的外部因素。然后,我们专注于中国的 25 个试点城市,使用必要条件分析(NCA)和模糊集定性比较分析(fsQCA)分析外部因素对居民参与的配置影响。我们发现变量之间没有一致性,也没有一个单一的条件导致居民参与垃圾分类。有两种主要的方法(环境驱动和资源驱动)可以帮助实现高参与率,也有三种方法会导致低参与率。本研究为中国其他城市以及发展中国家实施垃圾分类提供了建议,强调了公众参与的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/ad1fb125f581/ijerph-20-04080-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/2b47c0f669b0/ijerph-20-04080-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/30fb6e5d0c58/ijerph-20-04080-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/8a3dcc48eebe/ijerph-20-04080-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/ad1fb125f581/ijerph-20-04080-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/2b47c0f669b0/ijerph-20-04080-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/30fb6e5d0c58/ijerph-20-04080-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/8a3dcc48eebe/ijerph-20-04080-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/10001695/ad1fb125f581/ijerph-20-04080-g002.jpg

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Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai.
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System dynamics-based prediction of municipal solid waste generation in high-cold and high-altitude area: The case of Lhasa, Tibet.基于系统动力学的高寒高海拔地区城市生活垃圾生成预测——以西藏拉萨为例。
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The effects of compost bin design on design preference, waste collection performance, and waste segregation behaviors for public participation.堆肥箱设计对公众参与设计偏好、废物收集性能和废物分类行为的影响。
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