University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups

University start-ups include faculty and student start-ups. Earlier research on universities’ roles in start-ups was focused on faculty. When student start-ups outperform faculty start-ups, the resources affecting these start-ups, and their relationship, should be analyzed. This study investigates t...

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Main Authors: Yoonseock Lee, Young-Hwan Lee
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/21/9015
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spelling doaj-e2f97d6595e648af936a1d802bea92192020-11-25T04:04:27ZengMDPI AGSustainability2071-10502020-10-01129015901510.3390/su12219015University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-UpsYoonseock Lee0Young-Hwan Lee1Department of Public Administration, Keimyung University, Deagu 42601, KoreaDeprtment of Social Welfare, Won-Kwang Health Science University, Iksan 54438, KoreaUniversity start-ups include faculty and student start-ups. Earlier research on universities’ roles in start-ups was focused on faculty. When student start-ups outperform faculty start-ups, the resources affecting these start-ups, and their relationship, should be analyzed. This study investigates the determinants of faculty and student start-ups, comparing key resources and exploring whether faculty start-ups affect student start-ups and vice versa, as well as whether the relevant resources interact, using panel data from 92 Korean universities from 2012 to 2018. Resource variables including labor costs, bonuses, research expenses, laboratory expenses, equipment costs, and technology transfer offices were used as explanatory variables. Additionally, for faculty start-ups, central and local government funds, science citation indices, patents, technology revenues, and student start-ups were used as explanatory variables. For student start-ups, university funding, government funding, start-up clubs, Capstone Design funding, and faculty start-ups were used as explanatory variables. Using these start-ups as endogenous variables in estimations, this study adapts a simultaneous equation model with panel data, analyzing it with three-stage least square regression method. Faculty labor costs and central and local government research funds significantly positively affect faculty start-ups. Support funding, start-up clubs, and technology transfer offices significantly positively affect student start-ups. Results show that faculty start-ups significantly affect student start-ups, but there is no influence from student start-ups on faculty start-ups.https://www.mdpi.com/2071-1050/12/21/9015university resourcesfaculty start-upsstudent start-upsKorean universitiespanelsimultaneous equation fixed model
collection DOAJ
language English
format Article
sources DOAJ
author Yoonseock Lee
Young-Hwan Lee
spellingShingle Yoonseock Lee
Young-Hwan Lee
University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
Sustainability
university resources
faculty start-ups
student start-ups
Korean universities
panel
simultaneous equation fixed model
author_facet Yoonseock Lee
Young-Hwan Lee
author_sort Yoonseock Lee
title University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
title_short University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
title_full University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
title_fullStr University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
title_full_unstemmed University Start-Ups: The Relationship between Faculty Start-Ups and Student Start-Ups
title_sort university start-ups: the relationship between faculty start-ups and student start-ups
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-10-01
description University start-ups include faculty and student start-ups. Earlier research on universities’ roles in start-ups was focused on faculty. When student start-ups outperform faculty start-ups, the resources affecting these start-ups, and their relationship, should be analyzed. This study investigates the determinants of faculty and student start-ups, comparing key resources and exploring whether faculty start-ups affect student start-ups and vice versa, as well as whether the relevant resources interact, using panel data from 92 Korean universities from 2012 to 2018. Resource variables including labor costs, bonuses, research expenses, laboratory expenses, equipment costs, and technology transfer offices were used as explanatory variables. Additionally, for faculty start-ups, central and local government funds, science citation indices, patents, technology revenues, and student start-ups were used as explanatory variables. For student start-ups, university funding, government funding, start-up clubs, Capstone Design funding, and faculty start-ups were used as explanatory variables. Using these start-ups as endogenous variables in estimations, this study adapts a simultaneous equation model with panel data, analyzing it with three-stage least square regression method. Faculty labor costs and central and local government research funds significantly positively affect faculty start-ups. Support funding, start-up clubs, and technology transfer offices significantly positively affect student start-ups. Results show that faculty start-ups significantly affect student start-ups, but there is no influence from student start-ups on faculty start-ups.
topic university resources
faculty start-ups
student start-ups
Korean universities
panel
simultaneous equation fixed model
url https://www.mdpi.com/2071-1050/12/21/9015
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