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Enhancing the link between higher education and employment

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  • Lee, Kye Woo
  • Chung, Miyeon

Abstract

This study aims to improve the efficiency of fiscal assistance programs for higher education by investigating those variables that influence college graduates’ employment rates. An empirical analysis of 2010–2011 higher education statistics shows that two variables – educational expenditure per student and the number of students per full-time faculty member – consistently and significantly affect college graduates’ employment rates, even after location and type of school are controlled. Although scholarship rates also affect employment rates positively, the number of students per industry–academe liaison officer does not have a statistically significant effect. Moreover, as educational expenditure per student or the student/faculty ratio increases beyond a certain level, graduate employment improves at an increasing rate. The two variables also affect the employment rate interactively. At a relatively higher level of per-student expenditure, employment rates increase even as the student/faculty ratio rises. However, at a relatively lower level of per-student expenditure, employment rates decline as the student/faculty ratio rises.

Suggested Citation

  • Lee, Kye Woo & Chung, Miyeon, 2015. "Enhancing the link between higher education and employment," International Journal of Educational Development, Elsevier, vol. 40(C), pages 19-27.
    • Handle: RePEc:eee:injoed:v:40:y:2015:i:c:p:19-27
    DOI: 10.1016/j.ijedudev.2014.11.014
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    References listed on IDEAS

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    1. Hanushek, Eric A. & Pace, Richard R., 1995. "Who chooses to teach (and why)?," Economics of Education Review, Elsevier, vol. 14(2), pages 101-117, June.
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    1. Haifa Mefteh & Mabrouka Bouhajeb & Fakher Smaoui, 2016. "Higher education, Graduate unemployment, Poverty and Economic growth in Tunisia, 1990-2013," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    2. Wasim Qazi & Syed Ali Raza & Arshian Sharif, 2017. "Higher Education Development and Unemployment in Pakistan: Evidence from Structural Break Testing," Global Business Review, International Management Institute, vol. 18(5), pages 1089-1110, October.
    3. Dan He & Manxin Zheng & Wei Cheng & Yui-yip Lau & Qingmei Yin, 2019. "Interaction between Higher Education Outputs and Industrial Structure Evolution: Evidence from Hubei Province, China," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    4. Lee, Kyewoo & Chung, Miyeon, 2015. "Ways to Improve Government Subsidy Policies for Higher Educational Institutions to Enhance the Employment Rate of Their Graduates," KDI Focus 50, Korea Development Institute (KDI).
    5. Victoria Kakooza & Robert Wamala & James Wokadala & Thomas Bwire, 2019. "Do Graduates from Arts-Related Disciplines have a Higher Impact on Unemployment than Graduates from the Science-Related Disciplines?," International Journal of Higher Education, Sciedu Press, vol. 8(4), pages 1-52, August.
    6. Sorin Tudor & Teodor Florin Cilan & Luiza Loredana Năstase & Mihaela Loredana Ecobici & Elena Rodica Opran & Andrei Valentin Cojocaru, 2023. "Evolution of Interdependencies between Education and the Labor Market in the View of Sustainable Development and Investment in the Educational System," Sustainability, MDPI, vol. 15(5), pages 1-24, February.

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    More about this item

    Keywords

    Educational policy; Fiscal assistance programs; Higher education; Employment rates; Effectiveness;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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