基于简历数据的科技人力资源与产业结构的指标刻画研究  

Indexation research of industrial structure and Human Resource in Science and Technology based on curriculum vitae data

作　　者：岳仲涛 王岩 杨小寒[1] 吴洁慧 刘权辉 高见 张彦如[1,2] 周涛 YUE Zhong-tao;WANG Yan;YANG Xiao-han;WU Jie-hui;LIU Quan-hui;GAO Jian;ZHANG Yan-ru;ZHOU Tao(Chengdu Institution of New Economy Development,Chengdu 610041,China;University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]成都新经济发展研究院有限公司,成都610041 [2]电子科技大学,成都611731

出　　处：《今日科苑》2020年第7期23-31,52,共10页Modern Science

基　　金：中国科协创新战略研究院“科技人力资源与产业结构或经济结构的关系研究”(项目编号:2018ysxhl-4-5-5)。

摘　　要：刻画科技人力资源与相关产业结构的指标对指导现阶段我国人才战略调整和产业结构的升级转型有着深远的意义。本文从大量互联网简历数据中挖掘出符合科技人力资源标准的求职者,再根据其简历中的产业和教育信息,分别用复杂性和竞争力两个指标刻画除港澳台外各省份(含直辖市、自治区)的产业结构和科技人力资源。在此基础上,本文采用皮尔森相关系数测试各省的产业结构复杂性和各省对科技人力资源竞争力的排名,研究结果指出二者呈现强相关性。Indexation of human resource in science and technology(HRST)and industrial structure is important to guide the adjustment of talent study and upgrade an industrial structure in China currently.In this paper,economic complexity index(ECI)and Fitness which means the competitiveness of a country or a region to human resource are used to index the industrial structure and HRST of provinces(Taiwan,Hong Kong and Macao are not included)in China.The data used for building indices is extracted from a large number of resumes which are collected from recruitment websites.Moreover,the Pearson-correlation coefficient is applied to study the relationship between ECI and Fitness.The conclusion drawn from the results indicates that the ECI and Fitness is strongly correlated.

关 键 词：科技人力资源 产业结构 皮尔森相关系数 

分 类 号：F27[经济管理—企业管理]