RT Journal Article
A1 Yang, Ranran
A1 Liu, Zhaojun
A1 Li, Jingjing
A1 Jiao, Jianling
T1 How does government attention matter in waste classification governance? – evidence from 31 provinces in China
JF Management of Environmental Quality: An International Journal
JO Management of Environmental Quality: An International Journal
YR 2024
DO 10.1108/MEQ-09-2023-0319
VO 35
IS 7
SP 1545
OP 1570
SN 1477-7835
AB Waste classification plays an important role in reducing pollution, promoting waste recycling and resource utilization. This paper aims to explore the multiple reasons that affect the performance of waste classification governance.Content analysis of the existing waste classification policies is conducted using the Latent Dirichlet Allocation (LDA) model. Based on this analysis, influencing factors are identified through the technology-organization-environment (TOE) research framework. The condition configurations and action paths that cause differences in governance performance are derived using the fuzzy-set qualitative comparative analysis method (fsQCA).The results show that there are spatial and temporal disparities in waste classification policies among different provinces/cities. In most situations, the implementation effect of policy combinations is better than that of a single type of policy, with mandatory policies playing a key role. Additionally, a single influencing factor cannot constitute the bottleneck of high governance performance. Policy topics coordinate with environmental and technical factors to influence governance performance. Finally, in light of China's actual governance situation, several targeted implications are proposed for the practical optimization of local government waste classification governance.This paper presents a novel approach by integrating multiple heterogeneous data sources from both online and offline channels, adopting a public-government perspective and applying the fsQCA method to investigate the combined effects of technical, organizational and environmental factors on waste classification governance performance across 31 provinces and cities in China.
RD 4/10/2026
UL https://doi.org/10.1108/MEQ-09-2023-0319