中国智能网联汽车产业人才需求预测研究  

The Research on Talent Demand Prediction of China’s Intelligent Connected Vehicle Industry

作　　者：刘宗巍[1,2] 宋昊坤 郝瀚[1,2] 赵福全[1,2] Liu Zongwei;Song Haokun;Hao Han;Zhao Fuquan(State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China;Tsinghua Automotive Strategy Research Institute,Tsinghua University,Beijing 100084,China)

机构地区：[1]汽车安全与节能国家重点实验室,北京100084 [2]清华大学汽车产业与技术战略研究院,北京100084

出　　处：《科技管理研究》2022年第5期129-137,共9页Science and Technology Management Research

基　　金：工信部委托项目“2020智能网联汽车人才需求预测”(2020RC14);国家自然科学基金项目“汽车智能化对安全、节能减排及缓解拥堵影响的系统评估方法”(U1764265)。

摘　　要：为科学预测智能网联汽车(ICV)人才需求,采用定性与定量研究相结合的方法,确定ICV产业人才的结构,明确以研发技术人才为预测对象,构建分层级多指标的ICV人才需求预测模型,基于情景分析,得出未来5年ICV产业人才的需求量,并分析ICV产业不同类型研发技术人才以及不同业务模块人才的需求差异。In order to scientifically predict the demand for ICV talents, a combination of qualitative and quantitative research methods was used. Firstly, the structure of ICV industry talents was determined. Secondly, research and development(R&D) talents were identified to be the prediction object. Thirdly, ademand prediction model for ICV talents withhierarchies and indexeswas constructed.Based on the scenario analysis, the demand for ICV talents in the next five years was obtained, and the differences in demand for talents in different types of ICV R&D work and different ICV business modules were analyzed.

关 键 词：智能网联汽车 人才结构预测 人才数量预测 

分 类 号：F49[经济管理—产业经济] C96[经济管理—人力资源管理]