基于CiteSpace的新质生产力文献计量分析

Bibliometric Analysis of New Quality Productive Forces Based on CiteSpace

摘要: 新质生产力已成为当前产业经济学研究的重要议题，也是推动高质量发展的关键动力。系统梳理该领域的研究现状与演进脉络，对于把握“十五五”时期产业升级方向、规避低水平重复建设具有重要的参考价值。本文以CNKI数据库中2024~2025年(截止2025年12月17日)间收录的920篇CSSCI及北大核心期刊文献为样本，借助CiteSpace 6.2软件构建科学知识图谱，从文献发表特征、学术合作网络、研究热点聚类及演进趋势四个维度进行计量分析。研究发现：(1) 时空分布上，该领域文献呈高速增长态势，南京大学、中国人民大学等高校构成核心研究节点，但跨机构的学术合作网络仍有待强化；(2) 研究热点上，形成了以“科技创新”与“数字经济”为核心，以“数据要素”、“未来产业”为支撑的网状结构；(3) 演进趋势上，研究重心呈现出由“理论内涵阐释”向“关键要素挖掘”再到“制度保障深化”的路径演化特征。本文通过多维度呈现领域知识结构，旨在为优化产业政策、促进新质生产力与实体经济融合提供实证支撑。

Abstract: New quality productive forces have become a critical topic in industrial economics and a key driver for high-quality development. Systematically reviewing the research status and evolutionary context of this field is of significant reference value for grasping the direction of industrial upgrading and avoiding low-level repetitive construction during the “15th Five-Year Plan” period. Taking 920 articles from CSSCI and Peking University Core journals included in the CNKI database from 2024 to 2025 (as of December 17, 2025) as samples, this paper constructs a scientific knowledge graph using CiteSpace 6.2 software. It conducts a multi-dimensional bibliometric analysis from the perspectives of publication characteristics, academic cooperation networks, research hotspot clusters, and evolutionary trends. The study finds that: (1) In terms of spatiotemporal distribution, the literature in this field shows an exponential growth trend. Universities such as Nanjing University and Renmin University of China constitute core research nodes, but the cross-institutional academic cooperation network remains to be strengthened. (2) Regarding research hotspots, a network structure has formed with “technological innovation” and “digital economy” as the core, supported by “data elements” and “future industries”. (3) In terms of evolutionary trends, the research focus demonstrates a clear path evolution from “theoretical connotation interpretation” to “key factor excavation” and then to “deepening institutional guarantees”. By visualizing the domain knowledge structure, this paper aims to provide empirical support for optimizing industrial policies and promoting the deep integration of new quality productive forces with the real economy.