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    패널 고정효과모형을 활용한 사회맞춤형 산학협력 선도대학(LINC+) 사업의 효과성 분석 = Analysis of the effectiveness of the LINC+ project using a panel fixed effects model

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    https://www.riss.kr/link?id=A109015990

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    This study used a panel fixed-effects model to analyze the effectiveness of the LINC+ project, focusing on key industry-academia-related education-related performance indicators and industry-academia cooperation outcome indicators. Through this, the purpose is to derive policy implications for the effective promotion of local government-centered industry-academia-research cooperation projects after the RISE transition. The panel fixed effects model analysis to analyze the effectiveness of the LINC+ project was analyzed by analyzing the treatment effect according to participation in the LINC+ project and the treatment intensity effect according to the size of the project cost, and was further analyzed by controlling the annual trend line and university characteristics. . In this model, the treatment effect analysis model is a model that verifies the performance between participating and non-participating universities by inserting a dummy variable for project participation, and the treatment intensity effect analysis model is a model that takes the logarithm of the support amount for each university and inputs it to participate in the project. This is a model that confirms the effectiveness of projects depending on the size of inter-university support funds. As a result of analyzing the effectiveness of the project between participating and non-participating universities through a panel fixed effects model, the performance indicators that have a static effect on project participation and project costs are the ratio of students completing capstone design and technology transfer per full-time faculty member. It appeared as an import fee. On the other hand, performance indicators that had a negative effect on project participation and project expenses were domestic research performance, employment rate, and proportion of students completing 4 weeks of field training. Based on the above analysis results, future RISE plans to continuously improve and advance the performance of industry-academia-research cooperation are as follows. First, there is a need to encourage problem-solving, industry-academia-linked curriculum such as Capstone Design to be actively reflected in the RISE project in the future. Second, each local government needs to prepare support measures to increase technology transfer fees, which is a representative result of value creation through industry-academia cooperation under RISE. Third, institutional support should be strengthened so that local governments, local companies, and local universities can discover various field training institutions through close collaboration and receive substantial field training for more than 12 weeks. Lastly, for a more rigorous analysis of the employment rate of the LINC+ project, it is necessary to analyze the effectiveness of the project only for departments participating in the LINC+ project.
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    This study used a panel fixed-effects model to analyze the effectiveness of the LINC+ project, focusing on key industry-academia-related education-related performance indicators and industry-academia cooperation outcome indicators. Through this, the p...

    This study used a panel fixed-effects model to analyze the effectiveness of the LINC+ project, focusing on key industry-academia-related education-related performance indicators and industry-academia cooperation outcome indicators. Through this, the purpose is to derive policy implications for the effective promotion of local government-centered industry-academia-research cooperation projects after the RISE transition. The panel fixed effects model analysis to analyze the effectiveness of the LINC+ project was analyzed by analyzing the treatment effect according to participation in the LINC+ project and the treatment intensity effect according to the size of the project cost, and was further analyzed by controlling the annual trend line and university characteristics. . In this model, the treatment effect analysis model is a model that verifies the performance between participating and non-participating universities by inserting a dummy variable for project participation, and the treatment intensity effect analysis model is a model that takes the logarithm of the support amount for each university and inputs it to participate in the project. This is a model that confirms the effectiveness of projects depending on the size of inter-university support funds. As a result of analyzing the effectiveness of the project between participating and non-participating universities through a panel fixed effects model, the performance indicators that have a static effect on project participation and project costs are the ratio of students completing capstone design and technology transfer per full-time faculty member. It appeared as an import fee. On the other hand, performance indicators that had a negative effect on project participation and project expenses were domestic research performance, employment rate, and proportion of students completing 4 weeks of field training. Based on the above analysis results, future RISE plans to continuously improve and advance the performance of industry-academia-research cooperation are as follows. First, there is a need to encourage problem-solving, industry-academia-linked curriculum such as Capstone Design to be actively reflected in the RISE project in the future. Second, each local government needs to prepare support measures to increase technology transfer fees, which is a representative result of value creation through industry-academia cooperation under RISE. Third, institutional support should be strengthened so that local governments, local companies, and local universities can discover various field training institutions through close collaboration and receive substantial field training for more than 12 weeks. Lastly, for a more rigorous analysis of the employment rate of the LINC+ project, it is necessary to analyze the effectiveness of the project only for departments participating in the LINC+ project.

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    참고문헌 (Reference)

    1 박수홍 ; 정주영 ; 류영호, "창의적 공학교육을 위한 캡스톤 디자인(Capstone Design)교수활동지원모형 개발" 20 (20): 184-200, 2008

    2 교육부, "지역혁신중심 대학지원체계(RISE) 시범지역 운영 안내서(Ver 1.0)"

    3 이정미, "지역혁신중심 대학지원을 위한 재정개편 및 범부처 연계협력방안 정책연구" 2023

    4 문형진 ; 이희상, "정부 재정지원이 산학협력 성과에 미치는 영향 분석 : 산학협력 선도 대학 육성사업을 중심으로" 24 (24): 29-52, 2016

    5 김훈호, "예산집행 유형에 따른 LINC+ 참여 대학 간 산학협력 성과 차이 분석" 한국연구재단 2022

    6 신희주, "성향점수 매칭법(propensity score matching methods)을 이용한 여성노동자들의 고용형태와 건강수준간의 연관성에 대한 연구" 46 : 111-133, 2017

    7 전승훈 ; 강성호 ; 임병인, "선형패널자료 분석방법에 관한 비교연구" 9 (9): 1-24, 2004

    8 이영훈, "선형패널자료 모형에 관한 문헌연구" 15 (15): 105-138, 2001

    9 김창호 ; 이승철, "산학협력지원정책의 성과요인에 관한 연구: 산학협력 선도대학 육성 사업의 추진 성과를 중심으로" 77-102, 2016

    10 이상미 ; 임은혁 ; 김한기 ; 김봉문 ; 김창호 ; 노윤정 ; 이현정, "산학협력선도대학(LINC)육성사업의 효과성 분석" 26 (26): 27-49, 2016

    1 박수홍 ; 정주영 ; 류영호, "창의적 공학교육을 위한 캡스톤 디자인(Capstone Design)교수활동지원모형 개발" 20 (20): 184-200, 2008

    2 교육부, "지역혁신중심 대학지원체계(RISE) 시범지역 운영 안내서(Ver 1.0)"

    3 이정미, "지역혁신중심 대학지원을 위한 재정개편 및 범부처 연계협력방안 정책연구" 2023

    4 문형진 ; 이희상, "정부 재정지원이 산학협력 성과에 미치는 영향 분석 : 산학협력 선도 대학 육성사업을 중심으로" 24 (24): 29-52, 2016

    5 김훈호, "예산집행 유형에 따른 LINC+ 참여 대학 간 산학협력 성과 차이 분석" 한국연구재단 2022

    6 신희주, "성향점수 매칭법(propensity score matching methods)을 이용한 여성노동자들의 고용형태와 건강수준간의 연관성에 대한 연구" 46 : 111-133, 2017

    7 전승훈 ; 강성호 ; 임병인, "선형패널자료 분석방법에 관한 비교연구" 9 (9): 1-24, 2004

    8 이영훈, "선형패널자료 모형에 관한 문헌연구" 15 (15): 105-138, 2001

    9 김창호 ; 이승철, "산학협력지원정책의 성과요인에 관한 연구: 산학협력 선도대학 육성 사업의 추진 성과를 중심으로" 77-102, 2016

    10 이상미 ; 임은혁 ; 김한기 ; 김봉문 ; 김창호 ; 노윤정 ; 이현정, "산학협력선도대학(LINC)육성사업의 효과성 분석" 26 (26): 27-49, 2016

    11 최창원 ; 금재덕 ; 심동철, "산학협력 선도대학 육성사업 성과 분석 : 학생 성과를 중심으로" 32 (32): 75-104, 2018

    12 남궁문, "사회맞춤형 산학협력 선도대학(LINC+) 육성사업 후속사업 기획 기초연구" 한국연구재단 2020

    13 남궁문, "사회맞춤형 산학협력 선도대학(LINC+) 육성 종합성과분석 및 백서발간" 한국연구재단 2022

    14 남기곤 ; 허정 ; 남경민 ; 양정모 ; 한상덕, "대학재정지원사업이 학생의 역량 향상에 미친 효과 : 산학협력선도대학육성(LINC)사업을 중심으로" 40 (40): 217-250, 2022

    15 배상훈 ; 라은종 ; 홍지인, "경향점수매칭을 통한 산학협력 선도대학 육성사업 성과분석" 34 (34): 181-206, 2018

    16 Baltagi, B. H., "Econometric Analysis of Panel Data, Third Edition, Panel Data Analysis : A study on quality of life in low income- 25 -" Wiley 2005

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