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.
引用
收藏
页码:1616 / 1636
页数:31
相关论文
共 50 条
  • [21] Does Environmental Policy Help Green Industry? Evidence from China's Promotion of Municipal Solid Waste Sorting
    Chen, Di
    Wang, Yue
    Wen, Yang
    Du, Honglin
    Tan, Xue
    Shi, Lei
    Ma, Zhong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (06) : 1 - 15
  • [22] Coping with the Cornucopia: Can Text Mining Help Handle the Data Deluge in Public Policy Analysis?
    Bicquelet, Aude
    Weale, Albert
    POLICY AND INTERNET, 2011, 3 (04):
  • [23] Policy Discourse Among the Chinese Public on Initiatives for Cultural and Creative Industries: Text Mining Analysis
    Park, Sang Do
    SAGE OPEN, 2022, 12 (01):
  • [24] Assessing the impact of mechanism of green public consumption policy on environmental equity: evidence from China
    Chunmei Li
    Abbas Ali Chandio
    Usman Farooq
    Jam Ghulam Murtaza Sahito
    Ge He
    Environment, Development and Sustainability, 2022, 24 : 271 - 292
  • [25] How does public concern about climate change affect carbon emissions? Evidence from large-scale online content and provincial-level data in China
    Shen, Chen
    Wang, Yang
    JOURNAL OF CLEANER PRODUCTION, 2023, 426
  • [26] Assessing the impact of mechanism of green public consumption policy on environmental equity: evidence from China
    Li, Chunmei
    Chandio, Abbas Ali
    Farooq, Usman
    Sahito, Jam Ghulam Murtaza
    He, Ge
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (01) : 271 - 292
  • [27] Attitudes and preferences of the Chinese public towards products made from recycled materials: A text mining approach
    Xu, Heng
    Tian, Chong
    RESOURCES CONSERVATION & RECYCLING ADVANCES, 2024, 24
  • [28] Waste sorting and its effects on carbon emission reduction: Evidence from China
    Lian, Hongping
    Wang, Dechuan
    Li, Hui
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2020, 18 (01) : 26 - 34
  • [29] Exploring paths underpinning the implementation of municipal waste sorting: Evidence from China
    Tan, Shizheng
    Li, Wei
    Liu, Xiaoguang
    Wang, Yaqi
    Wang, Mengxin
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2024, 106
  • [30] Evaluation of the household solid waste mandatory sorting policy in Shanghai: A 1-year public opinion survey
    Liu, Yaoyi
    Zou, Can
    Tai, Jun
    Che, Yue
    WASTE MANAGEMENT & RESEARCH, 2023, 41 (08) : 1305 - 1317