Research Hotspots and Trends of New-Type Productive Forces in China—A Visual Analysis Based on CiteSpace
Year: 2025
Type: article
Abstract: 新质生产力是推动我国经济高质量发展的关键引擎。本文基于CiteSpace软件，对中国知网(CNKI)数据库中2023年至2025年间发表的关于新质生产力的文献进行可视化分析，旨在揭示当前我国新质生产力研究的热点、演进路径及未来趋势。研究结果表明，前研究热点主要围绕技术驱动、制度适配和产业实践三大维度展开，具体聚焦于科技创新、数字经济、人工智能、数据要素、产教融合等关键词。研究机构共现图谱显示，研究力量集中于中国社会科学院、中国人民大学、南京大学等高校智库及工科院校，呈现跨学科融合的特征。未来研究趋势应加强战略协同机制，发展“技术–制度协同演化”理论。本研究通过知识图谱方法，为学术研究和政策制定提供参考依据。本研究为深入理解和把握新质生产力的发展规律，助力我国经济转型升级提供有益参考。As a pivotal engine for China’s high-quality economic development, new-type productive forces are the focus of this study. Leveraging CiteSpace software, this research conducts a visual analysis of the literature pertaining to new-type productive forces published in the China National Knowledge Infrastructure (CNKI) database between 2023 and 2025. The primary objective is to reveal current research hotspots, evolutionary trajectories, and prospective trends within this field in China. Findings indicate that contemporary research interests predominantly revolve around three dimensions: technology-driven, institution-adapted, and industry-practiced. These dimensions specifically concentrate on keywords such as technological innovation, the digital economy, artificial intelligence, data factors, and the integration of industry and education. An analysis of the co-occurrence network of research institutions demonstrates that research efforts are concentrated within university think tanks and engineering colleges, including the Chinese Academy of Social Sciences, Renmin University of China, and Nanjing University, reflecting interdisciplinary integration. Future research should emphasize strategic synergistic mechanisms and foster the development of a “technology-institution co-evolution” theory. By employing knowledge mapping techniques, this study provides a valuable reference for both academic research and policy formulation. Furthermore, it offers useful insights for deepening understanding and grasping the development patterns of new-type productive forces, thereby facilitating China’s economic transformation and upgrading.
Author: 宇函 赵
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4412774858