Analysis of the impact of college students' innovation and entrepreneurship on human resource index of science and technology enterprises based on logistic regression model

被引:0
|
作者
Wang J. [1 ]
Li L. [1 ]
机构
[1] College of Innovation and Entrepreneurship, Anshan Normal University, Liaoning, Anshan
关键词
Big data; BP neural network algorithm; Coordination degree; Logistics regression model; University students' innovation and entrepreneurship;
D O I
10.2478/amns.2023.2.00237
中图分类号
学科分类号
摘要
Considering the immediate phenomenon of uncoordinated advancement, unbalanced distribution and unreasonable structure of regional human resources and academy undergraduates' innovation and start an undertaking ability in China, this paper fundamentally constructs academy undergraduates' innovation and entrepreneurship system through a logistic regression model. The study takes 29 provinces and regions in China as research samples and adopts the logistic regression model BP neural network method to conduct a more in-depth theoretical discussion and empirical analysis on the interaction mechanism and the coupled and coordinated development of regional manpower capital and produce and start an undertaking ability in China. The coupling and coordination degree of manpower capital and production and start an undertaking in 29 provinces and regions in China is lower than 0.8, and the average value is 0.358, which is in the "mild dysfunctional decline"stage. There are some mutual constraints between the subsystems of human resources of science and technology enterprises and the products and start an undertaking ability of academy undergraduates, and more efforts must be made in their respective "shortcomings"and comparative disadvantages to promote the synergy and consistency of their development levels. We should strive to strengthen cooperation with foreign countries and introduce advanced technology and outstanding talents from developed countries. In the "import"at the same time "go out", in the learning from the same time also "teach others to fish", in order to achieve win-win cooperation. © 2023 Jia Wang et al., published by Sciendo.
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