数字经济赋能乡村振兴研究热点与趋势——基于CiteSpace的可视化分析
Research Hot-spots and Trends of Digital Economy Enabling Rural Revitalization-A Visual Analysis Based on CiteSpace
刘桂英 1张双庆 1徐先仁 2赵妞 1黄净远1
作者信息
- 1. 江西农业大学经管学院 江西,南昌 330045
- 2. 贵溪市行政审批局 江西,鹰潭 335499
- 折叠
摘要
数字经济是信息通信技术应用与发展所创造的新生产物,已成为全球经济发展和社会进步的重要源动力.在国家推进"数字经济赋能乡村振兴"的大背景之下,本文采用CiteSpace软件对2000-2022年中国知网(CNKI)所收录的CSSCI来源期刊有关"数字经济赋能乡村振兴"研究505篇文献,根据研究热点、聚类变化和演进趋势等特征分别进行了关键词共现、聚类分析、时间区图和时间线图等知识图谱的绘制.结合对知识图谱的分析和文献梳理,对数字化转型背景下我国乡村领域的研究现状和研究内容、热点问题、演进脉络及研究趋势等进行了深入分析,并对数字经济赋能乡村振兴的实践提出了三点对策建议:加快乡村信息化转型,开创城乡经济融合的新格局及孵化创新乡村产业模式,以期为乡村振兴数字经济领域研究提供参考.
Abstract
Digital economy is a new product created by the application and development of information and communication technology,has become an important source of power for global economic development and social progress.Under the background of the national promotion of"digital economy enabled Rural Revitalization",this paper uses CiteSpace software to draw knowledge maps such as keyword co-occurrence,cluster analysis,time zone map and time line map according to the characteristics of research hot-spots,cluster changes and evolution trend of 505 papers on"digital economy enabled Rural Revitalization"in CSSCI source journals included in CNKI from 2000 to 2022.Combined with the analysis of knowledge map and literature review,this paper makes an in-depth analysis and research prospect on the research status,research contents,hot issues,evolution context and research trends of China's rural field under the background of digital transformation,and puts forward three countermeasures and suggestions for the practice of digital economy enabling Rural Revitalization:accelerating rural information transformation,creating a new pattern of urban-rural economic integration and incubating innovative rural industrial models,in order to provide reference for the research in the field of Rural Revitalization of digital economy.
关键词
数字经济/乡村振兴/数字乡村建设/农业高质量发展/知识图谱分析Key words
digital economy/rural vitalization/digital village construction/high quality development of agriculture/knowledge map spectral analysis引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据