主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2021, Vol. 30 ›› Issue (6): 1219-1229.DOI: 10.3969/j.issn.1004-9479.2021.06.2020365

• 城市与区域 • 上一篇    下一篇

长三角高校海外回流人才创新产出格局分析

卞丽蓉(), 姜海宁(), 杨梦君   

  1. 浙江师范大学地理与环境科学学院,浙江 金华 321004
  • 收稿日期:2020-06-13 修回日期:2020-09-12 出版日期:2021-11-30 发布日期:2022-01-07
  • 通讯作者: 姜海宁
  • 作者简介:卞丽蓉(1993-),女,硕士研究生,主要研究方向为经济地理,E-mail:819376992@qq. com
  • 基金资助:
    国家自然科学基金青年项目(41971160);浙江省自然科学基金一般项目(LY19D010009)

Analysis of innovation output pattern of overseas returnee talents from universities in the Yangtze River Delta

Lirong BIAN(), Haining JIANG(), Mengjun YANG   

  1. College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
  • Received:2020-06-13 Revised:2020-09-12 Online:2021-11-30 Published:2022-01-07
  • Contact: Haining JIANG

摘要:

以专利与重要基金项目数据为基础,运用ArcGIS软件与Eviews软件,分别对长三角高校海外回流人才创新产出空间格局及其影响因素进行分析,结果表明:长三角高校海外回流人才创新产出分布表现出较强的非均衡性,总体呈现“沪宁杭”交通沿线为创新产出高值区,而苏北和浙西南则为低值区;空间集聚特征显著,具体集中在上海市区和省会城市;创新产出受学科性质影响较大,即不同学科的海外回流人才对创新产出的贡献不同,其中工学和理学对创新产出的贡献较高,占总量的70%以上。最后,运用泊松回归模型对其影响因素进行定量测度发现,海外回流人才创新产出受到事业平台建设的影响最为显著,其次是城市等级、与上海市区的距离,再次为是否有国际机场、GDP、进出口总额占GDP比重、教育经费占GDP比重和集聚效应,是否沿海、三甲医院数量和人均GDP对海外回流人才重要基金项目与专利产出影响差异明显,而高校在校学生规模影响作用并不显著。

关键词: 高校, 海外回流人才, 创新产出, 长三角

Abstract:

Based on data of patents and important foundation projects, using ArcGIS and Eviews, this paper analyzes the distribution pattern of the innovation output of the returnee overseas talents and its related factors of colleges and universities in the Yangtze River Delta. The results indicate that the distribution of the innovation output of the returning overseas talents of colleges and universities in the Yangtze River Delta shows a strongly spatial imbalance. Generally, the innovation output of high value areas is distributed of transportation lines in Shanghai, Nanjing and Hangzhou, while the northern Jiangsu provinces and the southwest of Zhejiang provinces are presented as low value areas of innovation output. The layout innovation features space cluster, which centralizes in the urban areas in Shanghai and other provincial cities. The nature of subjects has impacts on innovation output, that is different overseas returnee talents contribute differently to the innovation output, among which the subjects of engineering and science accounts for more than 70% than that of other subjects. Finally, Poisson regression model is used to measure the influencing factors quantitatively. It is found that the factor of innovation output is most significantly affected by construction of business platform, followed by city levels, distance from Shanghai urban area. Furthermore, it is also affected by whether there are international airports, GDP and proportion of total import and export in GDP, the educational funds in GDP, agglomeration effect. Coastal cities, number of Triple-A hospitals, per capital GDP on important foundation projects and patents of the overseas returnee talents are important, while number of students in colleges and universities has little effect on the innovation output.

Key words: college and university, overseas returnee talent, innovation output, the Yangtze River Delta