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Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining
被引:1
|作者:
Shi, Binfeng
[1
]
机构:
[1] Univ Sci & Technol Beijing, Sch Econ & Management, Beijing, Peoples R China
关键词:
Waste management;
waste-sorting policy;
public concern;
public opinion analysis;
text mining;
SOCIAL MEDIA;
CIRCULAR ECONOMY;
CHINA;
MANAGEMENT;
KNOWLEDGE;
OPINION;
PARTICIPATION;
ACCEPTANCE;
TRANSPORT;
D O I:
10.1177/0958305X231217634
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
An escalating amount of urban waste poses a significant threat to the sustainable growth of cities. Therefore, a waste-sorting policy is crucial for the advancement of humankind. The implementation of a waste-sorting policy relies heavily on public participation to ensure effective governance. This study examines public participation in urban waste-sorting by mining more than 580,000 microblog texts related to waste-sorting from 2012 to 2022, using data from Sina Weibo, China's leading social media platform. My findings indicate that (1) residents' attention to and support for mandatory waste-sorting policies varies by region; (2) widespread public interest stimulates publicity, education, and commercial entertainment related to waste-sorting policies and investment in thematically related sectors; (3) residents in regions with high education and income levels are more likely to generate waste and pay greater attention to waste-sorting policies; and (4) the promotion of waste-sorting policies affects knowledge dissemination. This study combines textual analysis and econometric techniques to offer a fresh perspective on the significance of public participation in promoting waste-sorting policies. It serves as an invaluable resource for governments to implement waste-sorting policies.
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页码:1616 / 1636
页数:31
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