| Literature DB >> 34295281 |
Yijun Lv1, Yingying Chen1, Yimin Sha1, Jing Wang1, Lanyijie An1, Tingjun Chen2, Xiang Huang3, Yangjie Huang1, Leilei Huang1.
Abstract
Research shows that entrepreneurial activities significantly promote economic development, which enhances the importance of the innovative entrepreneurial potential of college students. This study analyzes the effect of entrepreneurship education on entrepreneurial intention from the perspective of planned behavior theory. By examining the significant role of entrepreneurship education at colleges and universities on economic and social development, we established a conceptual model. To understand the relationship between entrepreneurship education and entrepreneurial intention, the hypotheses propose the intermediary role of entrepreneurial ability, and the study provides evidence from China the relationship between entrepreneurship education and entrepreneurial intention. Improving entrepreneurial intention and encouraging college students to establish businesses through entrepreneurship education in universities is crucial. This study proposes a hypothetical model of the relationship between entrepreneurial competence and entrepreneurial intention in entrepreneurship education at universities. Using a questionnaire survey of college students with practical experience in the Yangtze River Delta of China, the bootstrap method in the SPSS macro program process software verifies the hypotheses. The results show that entrepreneurial teaching, business plan competition, and entrepreneurial practice support positively affect entrepreneurial competence. In addition, entrepreneurial competence plays an intermediary role in the relationship between entrepreneurial teaching, business plan competition, entrepreneurship practice support, and entrepreneurial intention. Entrepreneurship education improves the ability to establish a business in the present and in entrepreneurial activities in the future. Entrepreneurial competence obtained through entrepreneurship education continuously affects entrepreneurial intention.Entities:
Keywords: business plan competition; entrepreneurial competence; entrepreneurial intention; entrepreneurship education; entrepreneurship practice support; entrepreneurship teaching
Year: 2021 PMID: 34295281 PMCID: PMC8289882 DOI: 10.3389/fpsyg.2021.655868
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical model.
Descriptive statistics (N = 5,603).
| Gender | Male | 3,017 | 53.80 |
| Female | 2,586 | 46.20 | |
| Major | Philosophy | 56 | 1.00 |
| Economics | 1,331 | 23.80 | |
| Science of Law | 86 | 1.50 | |
| Pedagogy | 156 | 2.80 | |
| Literature | 216 | 3.90 | |
| History | 17 | 0.30 | |
| Science | 486 | 8.70 | |
| Engineering | 1,212 | 21.60 | |
| Agriculture | 252 | 4.50 | |
| Medical Science | 331 | 5.90 | |
| Military Science | 19 | 0.30 | |
| Management | 997 | 17.80 | |
| Art | 444 | 7.90 | |
| Education resources [Type of school you are attending (“Double First-Class” University)] | Yes | 401 | 7.16 |
| No | 5,202 | 92.84 |
Reliability and validity of each factor.
| ET | ET1 | 0.873 | 83.14 | 0.898 | 0.752 | 0.899 | 0.747 |
| ET2 | 0.860 | ||||||
| ET3 | 0.860 | ||||||
| BPC | BPC1 | 0.971 | 88.94 | 0.938 | 0.768 | 0.938 | 0.834 |
| BPC2 | 0.919 | ||||||
| BPC3 | 0.907 | ||||||
| EPS | EPS1 | 0.869 | 85.39 | 0.943 | 0.863 | 0.943 | 0.806 |
| EPS2 | 0.924 | ||||||
| EPS3 | 0.891 | ||||||
| EPS4 | 0.906 | ||||||
| EC | EC1 | 0.937 | 92.23 | 0.958 | 0.779 | 0.958 | 0.883 |
| EC2 | 0.939 | ||||||
| EC3 | 0.943 | ||||||
| EI | EI | — | — | — | — | — | — |
CR, Composite reliability; AVE, Average variance extracted.
Correlation coefficient matrix between the square root of the AVE-value and factors.
| ET | 3.70 | 0.93 | 0.912 | |||
| BPC | 3.95 | 0.86 | 0.783 | 0.943 | ||
| EPS | 3.82 | 0.91 | 0.827 | 0.839 | 0.924 | |
| EC | 4.00 | 0.86 | 0.716 | 0.833 | 0.805 | 0.960 |
| EI | 4.01 | 0.89 | 0.692 | 0.804 | 0.776 | 0.917 |
The values shown on the diagonal are the square root values of AVE for each factor.
p < 0.01.
The mediating effect of ET as independent variable was analyzed.
| Constant | 1.5217 | 0.0367 | 1.4497, 1.5937 | 0.1787 | 0.0246 | 0.1306, 0.2269 |
| X1:ET | 0.6641 | 0.0087 | 0.6471, 0.6811 | 0.0707 | 0.0073 | 0.0565, 0.0850 |
| M:EC | 0.8913 | 0.0078 | 0.8759, 0.9066 | |||
| Neo-confucianism | −0.0099 | 0.0328 | −0.0742, 0.0545 | 0.0087 | 0.0192 | −0.0290, 0.0463 |
| Engineering | 0.0411 | 0.0251 | −0.0080, 0.0903 | 0.0026 | 0.0147 | −0.0261, 0.314 |
| Economics | 0.0072 | 0.0248 | −0.0414, 0.0557 | −0.0085 | 0.0145 | −0.0369, 0.0199 |
| Management | 0.0163 | 0.0264 | −0.0354, 0.0679 | 0.0147 | 0.0154 | −0.0156, 0.0449 |
| Pedagogy | −0.0024 | 0.0514 | −0.1031, 0.0983 | −0.0034 | 0.0301 | −0.0623, 0.0556 |
| Medical | 0.0632 | 0.0377 | −0.0107, 0.1372 | 0.0136 | 0.0221 | −0.0297, 0.0569 |
| Education resources | 0.0680 | 0.0314 | 0.0063, 0.1296 | 0.0186 | 0.0184 | −0.0175, 0.0547 |
| 0.5129 | 0.8432 | |||||
| 736.4074 | 3,341.6382 | |||||
| X1: ET → M: EC → Y: EI | ||||||
| Total effect | 0.6626 | 0.0092 | 0.6445 | 0.6808 | ||
| Direct effect | 0.0707 | 0.0073 | 0.0565 | 0.085 | ||
| Indirect effect | 0.5919 | 0.0116 | 0.5698 | 0.6146 | ||
p < 0.05,
p < 0.01.
Moderated mediating effect analysis with EPS as independent variable.
| Constant | 1.0544 | 0.0326 | 0.9906, 1.1182 | 0.1755 | 0.0244 | 0.1278, 0.2233 | ||
| X3:EPS | 0.7624 | 0.0075 | 0.7476, 0.7771 | 0.1059 | 0.0087 | 0.0889, 0.1229 | ||
| M:EC | 0.8557 | 0.0092 | 0.8377, 0.8737 | |||||
| Neo-confucianism | 0.0174 | 0.0279 | −0.0372, 0.0720 | 0.0123 | 0.0191 | −0.0252, 0.0498 | ||
| Engineering | 0.0411 | 0.0213 | −0.0006, 0.0828 | 0.0042 | 0.0146 | −0.0244, 0.0328 | ||
| Economics | 0.0335 | 0.0210 | −0.0077, 0.0746 | −0.0043 | 0.0144 | −0.0325, 0.0240 | ||
| Management | 0.0674 | 0.0224 | 0.0235, 0.1112 | 0.0225 | 0.0154 | −0.0077, 0.0526 | ||
| Pedagogy | −0.0039 | 0.0436 | −0.0893, 0.0816 | −0.0039 | 0.0299 | −0.0626, 0.0548 | ||
| Medical | 0.0968 | 0.0320 | 0.0341, 0.1596 | 0.0205 | 0.0220 | −0.0227, 0.0636 | ||
| Education resources | −0.0069 | 0.0267 | −0.0592, 0.0454 | 0.0104 | 0.0183 | −0.0255, 0.0463 | ||
| 0.6491 | 0.8447 | |||||||
| 1,293.6873 | 3,379.1420 | |||||||
| X3: EPS → M: EC → Y: EI | ||||||||
| Total effect | 0.7583 | 0.0082 | 0.7421 | 0.7744 | ||||
| Direct effect | 0.1059 | 0.0087 | 0.0889 | 0.1229 | ||||
| Indirect effect | 0.6523 | 0.0125 | 0.6282 | 0.6774 | ||||
,
p < 0.01,
.
Moderated mediating effect analysis with BPC as independent variable.
| Constant | 0.7256 | 0.0322 | 0.6625, 0.7887 | 0.1431 | 0.0246 | 0.0948, 0.1914 | ||
| X2:BPC | 0.8276 | 0.0074 | 0.8132, 0.8421 | 0.1345 | 0.0097 | 0.1154, 0.1536 | ||
| M:EC | 0.8331 | 0.0098 | 0.8139, 0.8523 | |||||
| Neo-confucianism | 0.0282 | 0.0260 | −0.0228, 0.0792 | 0.0144 | 0.0191 | −0.0229, 0.0518 | ||
| Engineering | 0.0046 | 0.0199 | −0.0344, 0.0435 | −0.0008 | 0.0146 | −0.0294, 0.0277 | ||
| Economics | 0.0179 | 0.0196 | −0.0205, 0.0563 | −0.0061 | 0.0144 | −0.0343, 0.0220 | ||
| Management | −0.0050 | 0.0209 | −0.0459, 0.0359 | 0.0122 | 0.0153 | −0.0177, 0.0422 | ||
| Pedagogy | 0.0432 | 0.0407 | −0.0366, 0.1230 | 0.0037 | 0.0298 | −0.0547, 0.0622 | ||
| Medical | −0.0349 | 0.0299 | −0.0936, 0.0237 | 0.0013 | 0.0219 | −0.0416, 0.0442 | ||
| Education resources | −0.0172 | 0.0249 | −0.0661, 0.0316 | 0.0085 | 0.0182 | −0.0272, 0.0443 | ||
| 0.6941 | 0.8458 | |||||||
| 1,586.6214 | 3,408.7211 | |||||||
| X2: BPC → M: EC → Y: EI | ||||||||
| Total effect | 0.8240 | 0.0082 | 0.8080 | 0.8400 | ||||
| Direct effect | 0.1345 | 0.0097 | 0.1154 | 0.1536 | ||||
| Indirect effect | 0.6895 | 0.0134 | 0.6635 | 0.7162 | ||||
p < 0.01.