我校经济管理学院王德运老师在T2级别期刊——《The Science of the total environment》上发表题为“Public attitudes toward the whole life cycle management of plastics: A text-mining study in China. ”。论文王德运为经济管理学院副教授。

Abstract /摘要：

Plastic pollution control, involving the whole life cycle management of plastic production, consumption, sorting, recycling, and disposal, has become necessary for global sustainable development. Research on public attitudes is vital to understanding whether plastic pollution control policies are being successfully implemented and the degree to which the public is involved. However, few studies have assessed public attitudes toward plastic pollution control from the whole life cycle perspective, especially using big data. Based on China's whole life cycle management policy of plastics, this study collected more than 200,000 relevant comments and user information from Sina Weibo to analyze and evaluate public attitudes and opinions toward plastic pollution control. Spatial-temporal analysis was conducted to discover the regional and temporal differences in public attention. Using a sentiment classification method based on semantic analysis, the emotional tendencies of the public attitudes toward ten subdivided plastic pollution control links were studied. It was found that more people held a positive attitude and paid more attention to reusing and sorting links, while the negative emotions were concentrated on the collection and sorting links. Using a topic modeling method, the negative opinions in various links were revealed, such as lack of supervision and industry standards; over packaging or insufficient packaging; food safety problems caused by the reuse; high costs, poor use and possibly greater waste of substitutes; unclear sorting rules and insufficient supporting measures. Graph theory was applied to display these opinions. Finally, some policy implications derived from the discussions are given.

论文信息;

Title/题目:

Public attitudes toward the whole life cycle management of plastics: A text-mining study in China.

Authors/作者:

Sun Ying;Wang Deyun;Li Xiaoshui;Chen Yiqing;Guo Haixiang

Keywords /关键词

Graph theory;Sentiment analysis;Social media;Topic modeling;Web crawler

DOI:10.1016/J.SCITOTENV.2022.159981

全文链接：https://pubmed.ncbi.nlm.nih.gov/36356749/