农业绿色技术研究进展、热点与展望——基于CiteSpace知识图谱分析

doi:10.13733/j.jcam.issn.2095-5553.2024.07.047

摘要/Abstract

摘要： 农业绿色技术是影响农业绿色发展实施效果的关键因素。基于文献计量方法和传统文献梳理方法，以中国知网数据库1993—2022年收录的996篇核心文献以及CSSCI文献为基础，通过CiteSpace软件对国内农业绿色技术研究领域的进展、热点与主题演变展进行梳理和分析，进而提出研究展望。结果表明：该领域的研究发展阶段清晰，尚未形成中坚力量，研究机构的合作网络及向外辐射能力仍有较大上升空间。现阶段主要研究热点为低碳农业与循环农业、技术采纳及其影响因素、技术创新与政策前沿。因此，紧跟国家农业绿色发展相关政策深入开展农业绿色技术研究、深化农业绿色技术推广机制及影响因素研究、加强技术采纳的效果与效应研究等将成为未来的研究方向。

关键词: 农业绿色技术, 农业绿色发展, 乡村振兴, CiteSpace, 可视化分析

Abstract: Agricultural green technology is the critical element influencing the implementation effect of agricultural green development. On account of the bibliometric method and traditional literature sorting method, and based on 996 core documents and CSSCI documents included in CNKI database from 1993 to 2022, this paper combs and analyzes the progress, hot spots and hot topic evolution in domestic agricultural green technology research field through CiteSpace software, and then puts forward research prospects. The results show that the research and development stage in this field is clear, and the backbone has not been formed yet. There is still much room for progress in the cooperation network and external radiation capacity of research institutions. At this stage, the main research focuses on lowcarbon agriculture and circular agriculture, technology adoption and its influencing factors, technology innovation and policy frontier. Therefore, it may become the future research direction to closely follow the relevant policies of national agricultural green development to carry out in-depth research on agricultural green technology, deepen the research on agricultural green technology promotion mechanism and influencing elements, and strengthen the research on the effects and effects of technology acceptance.

Key words: agricultural green technology, agricultural green development, rural revitalization, CiteSpace, visual analysis

中图分类号:

F323

郭桂资, 杨兴龙, 李颖. 农业绿色技术研究进展、热点与展望——基于CiteSpace知识图谱分析[J]. 中国农机化学报, 2024, 45(7): 323-330.

Guo Guizi, Yang Xinglong, Li Ying. Research progress, hotspot and prospect of agricultural green technology: Based on CiteSpace knowledge graph analysis [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(7): 323-330.

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