| Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
|---|---|---|
| Article Number | 02078 | |
| Number of page(s) | 6 | |
| Section | Industrial Technology Development and Industrial Structure Adjustment and Upgrading | |
| DOI | https://doi.org/10.1051/e3sconf/202123502078 | |
| Published online | 03 February 2021 | |
Research on the effectiveness of education and training incentive mechanism to promote college students’ Entrepreneurship
1
Hubei University of Chinese medicine, Wuhan, Hubei, China
2
Wuhan Business University, Wuhan, Hubei, China
3
Hubei University of Chinese medicine, Wuhan, Hubei, China
4
Hubei University of Chinese medicine, Wuhan, Hubei, China
a 2698471889@qq.com
b 5943498@qq.com
c 1876784024@qq.com
*d 68419785@qq.com
This paper mainly uses the methods of expert interview and questionnaire survey to collect and sort out the data and data of College Students’ entrepreneurship education and training, and then carries out statistical analysis through SPSS and Excel software.Through the analysis, it is found that college students’ entrepreneurship is closely related to entrepreneurship education, government entrepreneurship policies and measures, and college students’ entrepreneurial activities. As the situation of college students is not consistent every year, the relevant entrepreneurial background is not the same. Only by constantly improving the entrepreneurship education policies and related measures to make them more in line with the actual situation of college students, can the entrepreneurship education policies and related measures better serve college students, thus promoting college students to enter the ranks of entrepreneurship and achieve success.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.