Research on the Technological Competition Position of the Whole Industry Chain of New Energy Vehicles Based on Patent Measurement and Technology Life Cycle Prediction
Huang Shan, Chen Zhouling
School of Business Management,Guangdong University of Technology,Guangzhou 510520,China
Abstract：This article is based on the patent data of the new energy vehicle industry chain in up,middle and down links from 2004 to 2023.Using patent measurement and technology life cycle logistic model prediction methods,it comprehensively analyzes the technological competition position of the whole industry chain of new energy vehicles in China from four dimensions,such as technological development trend,technological competition entity,technological competition region,technological competition priority,and puts forward some suggestions.The research finds the followings.①The subsidy policy of new energy vehicles is declining,and the technology competition is more fierce;②The main entities of competition is state-owned enterprises,and the development of technology in up,middle,down link of industry chain is uneven;③Technological competition region shows high concentration;④Current technological competition priority does not completely match the future technological development direction;⑤The number of patents increased rapidly,but the market competitiveness was limited.More flexible and targeted adjustment of subsidy policy should be adopted in the future.Furthermore,enterprises should reasonably allocate resources in up,middle,down link of industry chain,and formulate the technology patent layout suitable for themselves,by examining the technological competition position of new energy vehicle industry chain as a whole.
黄山, 陈洲玲. 基于专利计量和技术生命周期预测的新能源汽车全产业链技术竞争态势研究[J]. 中国科技论坛, 2023(10): 62-73.
Huang Shan, Chen Zhouling. Research on the Technological Competition Position of the Whole Industry Chain of New Energy Vehicles Based on Patent Measurement and Technology Life Cycle Prediction. , 2023(10): 62-73.
[1]韩纪琴,余雨奇.政策补贴、研发投入与创新绩效:基于新能源汽车产业视角[J].工业技术经济,2021(8):40-46. [2]王海,尹俊雅.政策补贴、地方产业政策与行业创新发展——来自新能源汽车产业政策文本的经验证据[J].财经研究,2021,47(5):64-78. [3]周钟,刘敏.双积分型产业政策对新能源汽车产业的影响:基于企业政策适应行为的建模[J].科学管理研究,2021,30(11):19-118. [4]吴江,王梦.中国新能源汽车推广政策调整的市场效应:补贴退坡、技术进步与销量爬坡[J].中国人口·资源与环境,2023,33(6):34-48. [5]郭本海,王涵,李文鹣.“双积分”政策下新能源内外车企“畸形嫁接”防范机制[J].中国人口·资源与环境,2020,30(11):109-118. [6]傅沂,蒋明明,杨东晓.新能源汽车行业的政策设计及优化研究:基于 Van Damme 模型的三方演化博弈视角[J].工业技术经济,2021,40(10):23-32. [7]白玫.“十四五”时期新能源汽车产业竞争力提升的方向与路径[J].价格理论与实践,2021(2):18-24. [8]李晓敏,刘毅然,杨娇娇.中国新能源汽车推广政策效果的地域差异研究[J].中国人口·资源与环境,2019,30(8):51-61. [9]刘宏笪,孙华平,张茜.中国新能源汽车产业政策演化及执行阻滞分析——兼论双积分政策的协同实施[J].产业经济,2019,39(4):41-46. [10]胡登峰,冯楠,黄紫微,等.新能源汽车产业创新生态系统演进及企业竞争优势构建——以江淮和比亚迪汽车为例[J].中国软科学,2021(11):150-160. [11]侯光明,景睿,石秀.中国新能源汽车企业协同创新模式的创新绩效及作用路径研究[J].技术经济,2021,40(11):13-22. [12]吴君民,唐僖,盛永祥,等.基于三方演化博弈的后补贴时代新能源汽车政产学协同创新机制研究[J].运筹与管理,2021,30(4):96-102. [13]徐建中,孙颖.市场机制和政府监管下新能源汽车产业合作创新演化博弈研究[J].运筹与管理,2020,29(5):143-151. [14]陈涛,谭武全.感知风险视角下新能源汽车创新抗拒研究[J].生产力研究,2020(7):89-94. [15]黄裕荣,侯元元,刘彤,等.专利信息视域下纯电动汽车技术研发竞争态势研究[J].科技进步与对策,2017,34(4):72-77. [16]赵莉晓.基于专利分析的RFID技术预测和专利战略研究——从技术生命周期角度[J].科学学与科学技术管理,2012,33(11):24-30. [17]蒲芳,王璨.基于专利分析的我国新能源汽车生产企业技术竞争力研究[J].科技管理研究,2019,39(6):163-170. [18]XU X G,GUI M Z.Applying data mining techniques for technology prediction in new energy vehicle:a case study in China[J].Environmental science and pollution research,2021(28):68300-68317. [19]黄欢.专利资源碎片化的定量识别:基于我国新能源汽车动力电池专利的实证研究[J].情报杂志,2021,40(7):16-22. [20]刘兰剑,张萌,黄天航.政府补贴、税收优惠对专利质量的影响及其门槛效应:基于新能源汽车产业上市公司的实证分析[J].科研管理,2021,42(6):9-16. [21]石秀,景睿,郑刚,等.基于专利数据的中国新能源汽车技术创新的区域分布特征分析[J].工业技术经济,2018,37(8):60-67. [22]许鑫,朱奕帆,姚占雷.数据驱动的企业多层竞争网络构建与态势分析[J].情报学报,2018,37(8):836-844. [23]黄鲁成,武丹,张静等.基于专利的技术竞争态势分析框架——以智能材料技术为例[J].情报学报,2014,33(3):284-295. [24]郑思佳,汪雪锋,刘玉琴,等.关键核心技术竞争态势评估研究[J].科研管理,2021,42(10):1-10. [25]FOSTER R.Innovation:the attacker's advantage[M].New York:McGraw-Hill,1986.
2023, 
