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Title Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining
ID_Doc 18309
Authors Shi, BF
Title Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining
Year 2024
Published Energy & Environment, 35.0, 3
DOI 10.1177/0958305X231217634
Abstract 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.
Author Keywords Waste management; waste-sorting policy; public concern; public opinion analysis; text mining
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:001125756200001
WoS Category Environmental Studies
Research Area Environmental Sciences & Ecology
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