4.7 Article

Attitude of Chinese public towards municipal solid waste sorting policy: A text mining study

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 756, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.142674

关键词

MSW sorting policy; Public attitude; Text mining; LDA topic model; China

资金

  1. National Natural Science Foundation of China [72001148]
  2. Foundation for Basic and Applied Basic Research of Guangdong Province [2019A1515110247]
  3. Research Start-up Funding in Shenzhen [000376]
  4. Natural Science Foundation of SZU

向作者/读者索取更多资源

This study analyzed the emotional tendency of Chinese residents towards the MSW sorting policy using data from Sina Weibo users and text mining technology. Results showed that while a majority of the Chinese public has a positive attitude towards the policy, almost half have negative emotions. Different regions in China pay varying levels of attention to the MSW sorting policy, and the main reasons for negative emotions include fines, rules, fees, timing of waste disposal, and irregular recycling procedures.
With the acceleration of urban development, the amount of municipal solid waste (MSW) has increased dramatically. In order to recycle MSW more efficiently, a compulsory policy of sorting MSW has been enacted in China. According to the existing literature, attitude is an important factor affecting public's MSW sorting behavior. To explore the Chinese residents' emotional tendency towards the MSW sorting policy, this study analyzed the data of Sina Weibo users and their comments on related popular posts. Meanwhile, text mining technology was employed to analyze the collected data. Results showed that although a large proportion of the Chinese public has a positive attitude towards the MSW sorting policy, the proportion of people with negative emotions reached nearly half. In addition, it was found that the Chinese people in different regions pay different attentions to the MSW sorting policy. Results further revealed that the main reasons for the public's negative emotions were fines, MSW sorting rules, fees, timing of throwing waste, and irregular recycling procedures. By providing the public sentiment analysis of MSW sorting, this study can serve as a policy guide for practitioners and policymakers to link current research areas into social development. (C) 2020 Elsevier B.V. All rights reserved.

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