Abstract
The development level of the science and technology service industry is an important factor affecting the development speed of regional economy and the formation of innovation ability and development potential of the region, and the construction of talent team is the core and foundation for the development of the science and technology service industry. To measure such ability, this paper constructed an evaluation model for the innovation and entrepreneurial ability (IEA) of college students. First, a corresponding evaluation index system was established, the quantifiable index data were subject to factor analysis, and the structural equation model was subject to regression estimation using the maximum likelihood method. Then, from multiple aspects such as the level of the colleges, the major of the students, and the gender of the students, this paper comprehensively analyzed college students’ IEA. And finally, based on one-way analysis of variance, the differences between indexes were analyzed, and a path analysis model was established to analyze the relationship between the science and technology service industry’s regional industrial scale, resource input, informatization level, spatial agglomeration degree, and college students’ IEA.
Highlights
1 Introduction In China, the state council promulgated the Several Opinions of the State Council on Accelerating the Development of the Science and Technology Service Industry in 2014 and the Modern Service Industry Science and Technology Innovation Special Plan for “13th Five-Year Plan” in 2017, and the two documents had specified the important role of the knowledge spillover effect of the science and technology service industry in promoting the development of the national modern industrial system and the optimization of the industrial structure [1,2,3]
The structural equation model (SEM) can handle multiple sets of latent variables that cannot be directly observed in the fields of sociology and psychology, and clearly describe the direct or indirect influence relationship between variables
When the path coefficient from the resource input and informatization level to the innovation and entrepreneurial ability (IEA) of college students is respectively 0.843 and 0.798, it obeys the assumption, indicating that the resource input and informatization level of the science and technology service industry in the region has a significant impact on the IEA of college students; the regional industrial scale and degree of spatial agglomeration have an impact on it, but the influence has not reached a significant level
Summary
In China, the state council promulgated the Several Opinions of the State Council on Accelerating the Development of the Science and Technology Service Industry in 2014 and the Modern Service Industry Science and Technology Innovation Special Plan for “13th Five-Year Plan” in 2017, and the two documents had specified the important role of the knowledge spillover effect of the science and technology service. We found that, in terms of the cultivation and introduction of innovative talents for the science and technology service industry and the training of college students’ IEA, different countries and regions have different evaluation standards for students and talents due to the differences in their cultivation modes and education concepts, and their evaluation tools are varied as well In this context, the construction of a scientific evaluation system for college students’ IEA has become a practical need. Based on one-way analysis of variance, this paper took the level of college, the major of student, and the gender of student as the independent variables, and the college students’ IEA as dependent variable to construct a path analysis model, so as to analyze the relationship between the science and technology service industry’s regional industrial scale, resource input, informatization level, spatial agglomeration degree, and college students’ IEA
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