Measuring the labor market outcomes of universities: evidence from China’s listed company executives

IF 3.5 3区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Scientometrics Pub Date : 2024-08-24 DOI:10.1007/s11192-024-05138-5
Pei Chen, Shan Gao, Fan Jiang, Yifang Ma
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Abstract

Universities are now expected to actively contribute to socio-economic development, extending beyond their customary focus on teaching and research. Traditionally, the impact of universities on the labor market, measured through graduate employment, has been assessed using subjective survey data. This study proposes a quantitative framework that combines occupational mobility data with geographic factors to provide an objective evaluation of university labor market outcomes. Using data from 46,765 executives across 4,627 listed companies in mainland China, we developed a university–company mobility bipartite network. This network is weighted by both the number of executives and the geographic distances they cover. Through structural analysis of the network, we reveal the stratified and highly unequal influence of Chinese universities on the labor market. We also apply a PageRank centrality algorithm to rank universities and further compare them with established university rankings. The results indicated that our rankings highlighted the universities’ geographical influence and outcomes in the labor market. Our framework offers a reliable approach to assessing the societal impact of universities from a labor market perspective, improving and supplementing current university ranking systems.

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衡量大学的劳动力市场成果:来自中国上市公司高管的证据
现在,人们期望大学积极促进社会经济发展,而不仅仅局限于其惯常的教学和研究重点。传统上,通过毕业生就业率来衡量大学对劳动力市场的影响,是通过主观调查数据来评估的。本研究提出了一个定量框架,将职业流动数据与地理因素相结合,对大学劳动力市场成果进行客观评估。利用中国大陆 4627 家上市公司 46765 名高管的数据,我们建立了大学-公司双向流动网络。该网络根据高管人数和他们所覆盖的地理距离进行加权。通过对网络的结构分析,我们揭示了中国大学对劳动力市场的分层和极不平等的影响。我们还运用 PageRank 中心性算法对大学进行了排名,并进一步与已有的大学排名进行了比较。结果表明,我们的排名突出了大学在劳动力市场中的地域影响力和成果。我们的框架为从劳动力市场角度评估大学的社会影响提供了一种可靠的方法,是对现有大学排名体系的改进和补充。
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来源期刊
Scientometrics
Scientometrics 管理科学-计算机:跨学科应用
CiteScore
7.20
自引率
17.90%
发文量
351
审稿时长
1.5 months
期刊介绍: Scientometrics aims at publishing original studies, short communications, preliminary reports, review papers, letters to the editor and book reviews on scientometrics. The topics covered are results of research concerned with the quantitative features and characteristics of science. Emphasis is placed on investigations in which the development and mechanism of science are studied by means of (statistical) mathematical methods. The Journal also provides the reader with important up-to-date information about international meetings and events in scientometrics and related fields. Appropriate bibliographic compilations are published as a separate section. Due to its fully interdisciplinary character, Scientometrics is indispensable to research workers and research administrators throughout the world. It provides valuable assistance to librarians and documentalists in central scientific agencies, ministries, research institutes and laboratories. Scientometrics includes the Journal of Research Communication Studies. Consequently its aims and scope cover that of the latter, namely, to bring the results of research investigations together in one place, in such a form that they will be of use not only to the investigators themselves but also to the entrepreneurs and research workers who form the object of these studies.
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