Literature DB >> 35031994

Understanding the key factors determining rural domestic waste treatment behavior in China: a meta-analysis.

Donghui Zheng1, Jing Shen1, Rong Li1, Bei Jian1, Jihong Zeng1, Yongliang Mao1, Xiaoning Zhang1, Pradipta Halder2, Mei Qu3.   

Abstract

The growing interest of policy-makers, environmental stakeholders, and academics in rural domestic waste treatment has made it a recent focus of research in the field of rural human settlements. Many studies have been conducted to understand the related factors; however, their results are inconsistent. Therefore, different from previous studies, the study systematically analyzed and summarized empirical studies on rural domestic waste treatment and explored the key factors that fostered and impeded it. It also examined the reasons for differences in research level and trends in key factors over time. A random-effects meta-analysis of 24 studies revealed that education, political status, perceived value, behavioral attitude, subjective norm, garbage collection facilities and services, environmental knowledge and propaganda, and government policy and regulation had a significant positive correlation with rural domestic waste treatment; perceived value had the highest impact, followed by behavioral attitude. All of the variables had significant heterogeneity. Some of the heterogeneity can be explained by differences in research methods, sample size, and variable measurement methods. An increasing trend was observed in the effects of perceived value, behavioral attitude, and subjective norm. Finally, based on these results, the study provided suggestions on policy and academic aspects.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Behavior; China; Factors; Farmer participation; Meta-analysis; Rural domestic waste treatment; Rural human settlements

Mesh:

Year:  2022        PMID: 35031994     DOI: 10.1007/s11356-021-17999-x

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  A real-time rural domestic garbage detection algorithm with an improved YOLOv5s network model.

Authors:  Xiangkui Jiang; Haochang Hu; Yuemei Qin; Yihui Hu; Rui Ding
Journal:  Sci Rep       Date:  2022-10-07       Impact factor: 4.996

  1 in total

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