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

Baihui Jin and Wei Li ()
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Baihui Jin: School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China
Wei Li: School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China

IJERPH, 2023, vol. 20, issue 5, 1-21

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.

Keywords: household waste management; influencing factors; fuzzy-set qualitative comparative analysis; necessary condition analysis; residents’ participation behavior (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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