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探究公众参与垃圾分类的动机与障碍:来自新浪微博的证据

Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo.

作者信息

Wu Wenqi, Zhang Ming

机构信息

School of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.

Center for Environmental Management and Economics Policy Research, China University of Mining and Technology, Xuzhou, 221116 China.

出版信息

J Mater Cycles Waste Manag. 2023 Apr 15:1-14. doi: 10.1007/s10163-023-01659-y.

DOI:10.1007/s10163-023-01659-y
PMID:37360951
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10105363/
Abstract

China has been implementing garbage classification to improve resource recycling for many years. Since garbage classification is essentially a social activity, it needs the active participation of the public. However, the phenomenon of "high practice, low effect" is widespread in most cities. Therefore, this paper uses the data from Sina Weibo to analyze the reasons for the poor garbage classification effect. First, the key factors affecting residents' willingness to participate in garbage classification are identified based on the text-mining method. Further, this paper analyzes the reasons that promote or hinder the residents' intention of garbage classification. Finally, the resident's attitude towards garbage classification is explored by the score of the text's emotional orientation, and further the reasons for the positive and negative emotional orientation are analyzed, respectively. The main conclusions are as follows: (1) The proportion of residents holding negative sentiment towards garbage classification is as high as 55%. (2) Residents' positive emotions are mainly caused by the public's sense of environmental protection inspired by publicity and education, and the incentive measures taken by the government. (3) The main reasons for negative emotions are imperfect infrastructure and unreasonable garbage sorting arrangements.

摘要

多年来,中国一直在推行垃圾分类以提高资源回收利用率。由于垃圾分类本质上是一项社会活动,它需要公众的积极参与。然而,“高实行、低效果”的现象在大多数城市普遍存在。因此,本文利用新浪微博的数据来分析垃圾分类效果不佳的原因。首先,基于文本挖掘方法确定影响居民参与垃圾分类意愿的关键因素。进一步地,本文分析促进或阻碍居民垃圾分类意愿的原因。最后,通过文本情感倾向得分探究居民对垃圾分类的态度,并分别进一步分析积极和消极情感倾向的原因。主要结论如下:(1)对垃圾分类持负面情绪的居民比例高达55%。(2)居民的积极情绪主要是由宣传教育激发的公众环保意识以及政府采取的激励措施所引起的。(3)负面情绪的主要原因是基础设施不完善和垃圾分类安排不合理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/f487ecd8e450/10163_2023_1659_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/9c7f8c751f38/10163_2023_1659_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/153df86e53f2/10163_2023_1659_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/46061670853a/10163_2023_1659_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/88c119f13fc4/10163_2023_1659_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/a90a3292b6d2/10163_2023_1659_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/f487ecd8e450/10163_2023_1659_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/9c7f8c751f38/10163_2023_1659_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/153df86e53f2/10163_2023_1659_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/46061670853a/10163_2023_1659_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/88c119f13fc4/10163_2023_1659_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/a90a3292b6d2/10163_2023_1659_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf4/10105363/f487ecd8e450/10163_2023_1659_Fig6_HTML.jpg

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引用本文的文献

1
How to go green? Exploring public attention and sentiment towards waste sorting behaviors on Weibo platform: A study based on text co-occurrence networks and deep learning.如何实现绿色发展?探究微博平台上公众对垃圾分类行为的关注与情绪:一项基于文本共现网络和深度学习的研究。
Heliyon. 2024 Sep 27;10(19):e38510. doi: 10.1016/j.heliyon.2024.e38510. eCollection 2024 Oct 15.