A Meta-Analysis of the Relationship between Financing Efficiency and Entrepreneurial Vitality: Evidence from Chinese College Students
Abstract
:1. Introduction
2. Literature Review and Research Hypothesis
2.1. Literature Review
2.2. Hypotheses Development
3. Methods and Data
3.1. Meta-Analysis Method
3.2. Literature Search
3.3. Effect Size Integration and Literature Variable Information Summary
4. Empirical Analysis
4.1. Publication Bias Test
4.2. Heterogeneity Test
4.3. Main Effect Test
4.4. Test of Moderating Effect
5. Research Conclusions, Suggestions and Prospects
5.1. Research Conclusions
5.2. Suggestions
5.3. Main Motivation and Contribution
5.4. Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Author & Date | Sample Size | Control Variable | Research Method | Z | SE |
---|---|---|---|---|---|
Shi-jie gao (2020) [57] | 348 | Gender, age, education background, entrepreneurial industry, entrepreneurial scale | Multiple regression | 0.7999 | 0.0538 |
Yang Daojian (2019) [58] | 418 | Entrepreneurial motivation and entrepreneurial environment | Structural equation | 0.6535 | 0.0491 |
Ann Meichen (2016) [59] | 979 | Entrepreneurial financing environment, education environment | Structural equation | 0.6963 | 0.0320 |
Wu Lishui (2021) [60] | 308 | Entrepreneurial competence and entrepreneurial environment | Regression equation | 0.3205 | 0.0573 |
Liu Zhaomin (2020) [61] | 285 | Age, education background, scale of entrepreneurship | Multiple regression | 0.6155 | 0.0595 |
Chen Wanming (2019) [62] | 187 | Age, education background, gender | Multiple regression | 0.0761 | 0.0737 |
Mu Weiqi (2020) [63] | 208 | Age, gender, education level | Multiple regression | 0.1511 | 0.0698 |
He Hongguang (2015) [64] | 625 | - | Multiple regression | 0.2908 | 0.0401 |
Xu Yanxie (2022) [65] | 366 | - | Binary logistic regression | 1.6888 | 0.0525 |
Huang Yabing (2021) [66] | 443 | - | Multiple logistic regression | 0.4132 | 0.0477 |
Chen Xinmiao (2019) [67] | 451 | - | Multiple regression | 0.1277 | 0.0472 |
Ni Dazhao (2021) [68] | 471 | Growth environment, parents’ occupation, gender, professional background | Multiple linear regression | 0.0774 | 0.0462 |
Duan Lihua (2021) [69] | 905 | - | Multiple linear regression | 0.1563 | 0.0333 |
Sun Junhua (2021) [70] | 5868 | Level of economic development, literature time, sample size, entrepreneurial category | Meta-analysis | 0.4860 | 0.0131 |
Ge Hongxiang (2020) [71] | 733 | - | Mediation model | 0.7788 | 0.0370 |
Zhang Qin (2017) [72] | 400 | - | Binary logistic regression | 0.2597 | 0.0502 |
Sheng Yuxue (2021) [73] | 58,900 | Family, region, individual, school | Probit regression | 0.1040 | 0.0041 |
Zhang Xiue (2019) [74] | 89,202 | Age, gender, education level | Hierarchical generalized linear model estimation | 0.0983 | 0.0033 |
Wang Fuming (2017) [75] | 282,334 | Entrepreneurship index, industry attributes | Meta-analysis | 0.2090 | 0.0019 |
Zou Yanan (2019) [76] | 185 | - | Regression analysis | 0.1934 | 0.0741 |
Liu Enpei (2021) [77] | 490 | - | Structural equation | 1.8857 | 0.0453 |
Relationship between Variables | Begg Test p-Value | Egger Test p-Value |
---|---|---|
Financing efficiency and entrepreneurial vitality | 0.6982 | 0.6063 |
Financing efficiency and entrepreneurial intention | 0.6481 | 0.4218 |
Financing efficiency and entrepreneurial performance | 0.6384 | 0.4922 |
Model | Point Estimation | Document Number | Confidence Interval (95%) Upper Limit Lower Limit | p-Value | Q-Value | I2-Value | Standard Error | |
---|---|---|---|---|---|---|---|---|
Fixed effect model | 0.1827 | 21 | 0.1798 | 0.1856 | <0.0001 | 4811.97 | 99.58% | 0.0015 |
Random effect model | 0.4794 | 21 | 0.4156 | 0.5431 | <0.0001 | 4811.97 | 99.58% | 0.0325 |
Category | Point Estimate | Sample Size | Heterogeneity | Double Tail Test | Confidence Interval (95%) Upper Limit Lower Limit | ||||
---|---|---|---|---|---|---|---|---|---|
Q-Value | Df(Q) | I2-Value | Z-Value | p-Value | |||||
Financing effectiveness and entrepreneurial intention | 0.3716 | 91064 | 946 | 6 | 99.69 | 3.1361 | <0.0001 | −0.0784 | 0.8997 |
Financing effectiveness and entrepreneurial performance | 0.4946 | 353423 | 3189 | 13 | 99.94 | 4.1424 | <0.0001 | 0.2606 | 0.7287 |
Financing availability and entrepreneurial willingness | 0.4541 | 58900 | 1970 | 8 | 99.82 | 2.6474 | <0.0001 | 0.1179 | 0.7902 |
Financing availability and entrepreneurial performance | 0.5301 | 69331 | 3131 | 10 | 99.98 | 3.4049 | 0.0007 | 0.2250 | 0.8353 |
Category | Coefficient | SE | Z-Value | p-Value | Confidence Interval (95%) | |
---|---|---|---|---|---|---|
Upper Limit | Lower Limit | |||||
Constant | −0.3783 | 0.3130 | −1.2083 | 0.2269 | −0.9918 | 0.2353 |
Entrepreneurial competence | 0.5243 | 0.2600 | 2.0168 | 0.0437 | 0.0148 | 1.0338 |
Entrepreneurship education | 0.5108 | 0.1545 | 3.3057 | 0.0009 | 0.2079 | 0.8136 |
Age | −0.0339 | 0.3620 | −0.0936 | 0.9255 | −0.7434 | 0.6756 |
Entrepreneurial location environment | 0.7893 | 0.3553 | 2.2213 | 0.0263 | 0.0929 | 0.4857 |
Social capital | −0.1782 | 0.3817 | −0.4669 | 0.6406 | −0.9263 | 0.5699 |
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Ge, X.; Wang, J. A Meta-Analysis of the Relationship between Financing Efficiency and Entrepreneurial Vitality: Evidence from Chinese College Students. Sustainability 2022, 14, 10826. https://doi.org/10.3390/su141710826
Ge X, Wang J. A Meta-Analysis of the Relationship between Financing Efficiency and Entrepreneurial Vitality: Evidence from Chinese College Students. Sustainability. 2022; 14(17):10826. https://doi.org/10.3390/su141710826
Chicago/Turabian StyleGe, Xinming, and Jinbo Wang. 2022. "A Meta-Analysis of the Relationship between Financing Efficiency and Entrepreneurial Vitality: Evidence from Chinese College Students" Sustainability 14, no. 17: 10826. https://doi.org/10.3390/su141710826