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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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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AT yoonseocklee universitystartupstherelationshipbetweenfacultystartupsandstudentstartups AT younghwanlee universitystartupstherelationshipbetweenfacultystartupsandstudentstartups |
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