Identifying complex relationship in sub-fields between digital economy and urban agglomeration water pollution in Yangtze River Economic Belt: Evidence from original large-scale social media text analysis
文献类型：期刊论文
| 作者 | Huan, Songhua1,2,3 |
| 刊名 | CHAOS SOLITONS & FRACTALS
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 200页码:117016 |
| 关键词 | Digital economy Urban agglomeration Water pollution Text data mining Public perspective |
| ISSN号 | 0960-0779 |
| DOI | 10.1016/j.chaos.2025.117016 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The specific sub-fields of urban agglomeration water pollution influenced by digital economy remain underexplored. To address this gap, this study conducts a novel analysis using large-scale original social media texts to capture public discourse. We construct two comprehensive text databases: one focusing on digital economy and the other on urban agglomeration water pollution within the Yangtze River Economic Belt. Natural language processing topic model, pre-trained deep learning model and a sliding correlation method are applied for topic identification and temporal analysis. The results reveal that the (1) digital economy and urban agglomeration water pollution can be classified into nine and five sub-fields, respectively, with more than 70 % of public sentiment being positive toward them. (2) The average response time of urban agglomeration water pollution to digital economy influences is approximately 6.07 months within provinces and 5.91 months across provinces. (3) From an economic perspective, digital investment and digital consumption are potentially associated with urban agglomeration water engineering programs within provinces. In cross-provincial contexts, global trade is identified as the primary digital economy component influencing these programs. This study provides new insights into the relationship between digital economy and urban agglomeration water pollution from a public perspective. The findings offer valuable implications for digital economy development, environmental policy-making in urban agglomerations and the promotion of sustainable urban development. |
| URL标识 | 查看原文 |
| WOS研究方向 | Mathematics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001583237900007 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217502]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Huan, Songhua |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huan, Songhua. Identifying complex relationship in sub-fields between digital economy and urban agglomeration water pollution in Yangtze River Economic Belt: Evidence from original large-scale social media text analysis[J]. CHAOS SOLITONS & FRACTALS,2025,200:117016. |
| APA | Huan, Songhua.(2025).Identifying complex relationship in sub-fields between digital economy and urban agglomeration water pollution in Yangtze River Economic Belt: Evidence from original large-scale social media text analysis.CHAOS SOLITONS & FRACTALS,200,117016. |
| MLA | Huan, Songhua."Identifying complex relationship in sub-fields between digital economy and urban agglomeration water pollution in Yangtze River Economic Belt: Evidence from original large-scale social media text analysis".CHAOS SOLITONS & FRACTALS 200(2025):117016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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