Analysis of the effectiveness of the LINC+ project using a panel fixed effects model

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.