情报杂志2025，Vol.44Issue(7)：114-121,105,9.DOI:10.3969/j.issn.1002-1965.2025.07.015
基于"三链融合"的战略性新兴产业发展瓶颈识别
Bottleneck Identification of Strategic Emerging Industry Development Based on"Three Chain Integration":A Case Study of New Energy Vehicle Industry
摘要
Abstract
[Research purpose]Creating a systematic and efficient method for identifying bottlenecks in industrial development,and ef-fectively identifying the bottlenecks in the development of strategic emerging industries,can help continuously improve the industrial ecolo-gy and promote the high-quality development of China's strategic emerging industries.[Research method]Based on the perspective of the"three chain integration"of innovation chain,industry chain,and capital chain,combining deep learning and social network analysis,starting from the systematic process and continuous improvement of Theory of Constraints,this study constructs a"three chain integration"industry development bottleneck identification method,to recognize the development bottlenecks of strategic emerging industries,and pro-poses continuous improvement strategies.[Research result/conclusion]Taking China's new energy vehicle industry(NEV)as an empiri-cal case,it identifies that there are development bottlenecks in the"three chains"of battery recycling and cascade utilization,and there are innovation chain development bottlenecks in the extension of value-added services.This is consistent with the development status of the NEV technology roadmap planning,thus validating the efficacy and scientific rigor of the method proposed.关键词
三链融合/战略性新兴产业/新能源汽车/发展瓶颈识别/深度学习/社会网络分析Key words
three chain integration/strategic emerging industries/new energy vehicle(NEV)/bottleneck identification/deep learning/social network analysis分类
信息技术与安全科学引用本文复制引用
孔德婧,覃金冰,刘宇飞,闫强..基于"三链融合"的战略性新兴产业发展瓶颈识别[J].情报杂志,2025,44(7):114-121,105,9.基金项目
国家自然科学基金项目"'科学-技术-市场'多源异构网络离群点视角下的新兴产业识别及其形成机制研究"(编号:72104224) （编号:72104224）
国家自然科学基金项目"基于多源知识图谱的产业融合路径及机制研究"(编号:72004016) （编号:72004016）
北京市自然科学基金项目"产业融合视角下智能服务创新机制研究—基于多源知识图谱"(编号:9232015)研究成果. （编号:9232015）
