| Literature DB >> 34721199 |
Wenke Wang1, Qilin Cao2, Chaoyang Zhuo3, Yunhan Mou4, Zihao Pu5, Yunhuan Zhou2.
Abstract
This research was aimed to investigate the impact of the COVID-19 pandemic on the green entrepreneurial intention of college students through green entrepreneurial self-efficacy, optimism, ecological values, and social responsibility, as well as the mediating role of green entrepreneurial motivation. This study used structural equation model to test the hypothesis on samples of 410 Chinese colleges' students. COVID-19 has a strong beneficial effect on green entrepreneurial self-efficacy, optimism, ecological values, and social responsibility, according to the research findings. Optimism and social responsibility also were found to have a significant positive impact on green entrepreneurial self-efficacy. Moreover, green entrepreneurial motivations moderated the relationship between optimism, ecological values, social responsibility, and green entrepreneurial intention in a positive and significant way. Finally, the findings indicate that a significant positive correlation exists between green entrepreneurial self-efficacy and optimism, as well as a significant positive correlation between ecological values and social responsibility.Entities:
Keywords: COVID-19; ecological values; entrepreneurial motivation; green entrepreneurial intention; optimism; self-efficacy; social responsibility
Year: 2021 PMID: 34721199 PMCID: PMC8554101 DOI: 10.3389/fpsyg.2021.732904
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1TPB model.
Figure 2Research framework.
The results of reliability test.
| Variable | Cronbach α | No. of Items |
|---|---|---|
| Green entrepreneurial self-efficacy | 0.908 | 3 |
| Optimism | 0.888 | 3 |
| Green entrepreneurial personality traits: Ecological values | 0.930 | 4 |
| Green entrepreneurial personality traits: Social responsibility sense | 0.901 | 3 |
| Green entrepreneurial motivation | 0.938 | 6 |
| COVID-19 perception | 0.953 | 5 |
| Green entrepreneurial intentions | 0.924 | 5 |
KMO and Bartlett Ball test.
| KMO Value | 0.93 | |
|---|---|---|
| Bartlett Ball test | Approximate chi-square | 8040.806 |
| df | 406 | |
| value of p | < 0.001 | |
CR and AVE values of each factor.
| Factor | AVE | CR |
|---|---|---|
| Factor1 | 0.621 | 0.831 |
| Factor2 | 0.580 | 0.805 |
| Factor3 | 0.552 | 0.831 |
| Factor4 | 0.592 | 0.812 |
| Factor5 | 0.685 | 0.929 |
| Factor6 | 0.744 | 0.935 |
| Factor7 | 0.653 | 0.902 |
Factor loading coefficient and variance interpretation rate.
| Item | Factor loading coefficient | Common degree (common factor variance) | Meanings of the item | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Factor1 | Factor2 | Factor3 | Factor4 | Factor5 | Factor6 | Factor7 | |||
| Z11 | 0.114 | 0.107 | 0.081 | 0.201 |
| 0.133 | 0.202 | 0.788 | Questions related to green entrepreneurial self-efficacy |
| Z12 | 0.265 | 0.168 | 0.063 | 0.208 |
| 0.174 | 0.088 | 0.697 | |
| Z13 | 0.107 | 0.079 | 0.028 | 0.232 |
| 0.144 | 0.110 | 0.775 | |
| Z21 | 0.173 | 0.185 | 0.097 | 0.141 | 0.104 |
| 0.093 | 0.733 | Questions related to optimism |
| Z22 | 0.225 | 0.115 | 0.017 | 0.202 | 0.185 |
| 0.056 | 0.677 | |
| Z23 | 0.156 | 0.181 | 0.043 | 0.143 | 0.145 |
| 0.143 | 0.752 | |
| Z31 | 0.195 | 0.163 | 0.116 |
| 0.101 | 0.200 | 0.174 | 0.652 | Questions related to ecological values |
| Z32 | 0.216 | 0.192 | 0.133 |
| 0.164 | 0.174 | 0.059 | 0.671 | |
| Z33 | 0.119 | 0.026 | 0.085 |
| 0.191 | 0.072 | 0.148 | 0.700 | |
| Z34 | 0.148 | 0.026 | 0.028 |
| 0.225 | 0.116 | 0.220 | 0.681 | |
| Z41 | 0.154 | 0.106 | 0.113 | 0.133 | 0.211 | 0.099 |
| 0.737 | Questions related to social responsibility sense |
| Z42 | 0.240 | 0.275 | 0.090 | 0.194 | 0.115 | 0.160 |
| 0.723 | |
| Z43 | 0.212 | 0.149 | 0.086 | 0.299 | 0.095 | 0.072 |
| 0.756 | |
| M1 |
| 0.366 | 0.085 | 0.240 | 0.141 | 0.172 | 0.152 | 0.735 | Questions related to green entrepreneurial motivation |
| M2 |
| 0.275 | 0.131 | 0.181 | 0.114 | 0.184 | 0.100 | 0.724 | |
| M3 |
| 0.193 | 0.168 | −0.001 | 0.050 | 0.112 | 0.120 | 0.681 | |
| M4 |
| 0.245 | 0.102 | 0.077 | 0.108 | 0.124 | 0.181 | 0.819 | |
| M5 |
| 0.247 | 0.051 | 0.246 | 0.102 | 0.121 | 0.127 | 0.801 | |
| M6 |
| 0.176 | 0.040 | 0.229 | 0.168 | 0.122 | 0.112 | 0.780 | |
| Y1 |
|
| 0.070 | 0.184 | 0.176 | 0.100 | 0.110 | 0.759 | Questions related to green entrepreneurial intentions |
| Y2 | 0.270 |
| 0.138 | 0.089 | 0.099 | 0.115 | 0.114 | 0.813 | |
| Y3 | 0.296 |
| 0.083 | 0.138 | 0.062 | 0.105 | 0.099 | 0.792 | |
| Y4 | 0.222 |
| 0.183 | 0.068 | 0.082 | 0.153 | 0.171 | 0.824 | |
| Y5 | 0.190 |
| 0.139 | 0.016 | 0.061 | 0.157 | 0.102 | 0.833 | |
| COVID1 | 0.057 | 0.214 |
| 0.082 | −0.012 | 0.096 | 0.165 | 0.643 | Questions related to COVID-19 perception |
| COVID2 | 0.011 | 0.032 |
| 0.039 | 0.047 | 0.035 | 0.071 | 0.655 | |
| COVID3 | 0.117 | 0.065 |
| 0.105 | 0.057 | −0.012 | 0.009 | 0.766 | |
| COVID4 | 0.136 | 0.095 |
| 0.112 | 0.087 | 0.019 | 0.002 | 0.795 | |
| COVID5 | 0.103 | 0.105 |
| 0.002 | 0.001 | 0.047 | 0.044 | 0.755 | |
| Factor is corresponding to | M | Y | COVID | Z3 | Z1 | Z2 | Z4 | ||
Bold values in table 3 means the maximum value of each row. To be more specific, it means the item of each row is the most likely to belong to which Factor, which has been described in Measure Model Analysis part.
Fitness of model.
| Index name | Judgment standard | Result of model |
|---|---|---|
| Chi-square degree of freedom ratio | < 3 | 2.783 |
| RMSEA | < 0.10 | 0.066 |
| CFI | > 0.9 | 0.918 |
| NNFI | > 0.9 | 0.908 |
| TLI | > 0.9 | 0.908 |
| IFI | > 0.9 | 0.918 |
Structural model path estimation.
| A | Relationship | B | Unstandardized regression coefficient |
| CR-Value |
| Standardized regression coefficient |
|---|---|---|---|---|---|---|---|
| Z1 | → | M | 0.091 | 0.063 | 1.443 | 0.149 | 0.086 |
| Z1 | → | Y | 0.009 | 0.063 | 0.149 | 0.882 | 0.008 |
| Z2 | → | M | 0.291 | 0.060 | 4.820 | 0.000 | 0.302 |
| Z2 | → | Y | 0.195 | 0.062 | 3.114 | 0.002 | 0.191 |
| Z3 | → | M | 0.238 | 0.089 | 2.655 | 0.008 | 0.183 |
| Z3 | → | Y | −0.160 | 0.090 | −1.783 | 0.075 | −0.117 |
| Z4 | → | M | 0.425 | 0.089 | 4.803 | 0.000 | 0.344 |
| Z4 | → | Y | 0.314 | 0.092 | 3.414 | 0.001 | 0.240 |
| M | → | Y | 0.511 | 0.065 | 7.835 | 0.000 | 0.484 |
| COVID | → | Z1 | 0.246 | 0.062 | 3.945 | 0.000 | 0.225 |
| COVID | → | Z2 | 0.280 | 0.070 | 3.997 | 0.000 | 0.233 |
| COVID | → | Z3 | 0.262 | 0.052 | 5.047 | 0.000 | 0.294 |
| COVID | → | Z4 | 0.288 | 0.055 | 5.198 | 0.000 | 0.307 |
| Z1 | mutual | Z2 | 0.236 | 0.033 | 7.104 | 0.000 | 0.481 |
| Z3 | mutual | Z4 | 0.171 | 0.023 | 7.578 | 0.000 | 0.549 |
Figure 3Structure model.
List for abbreviations.
| Abbreviations | Referring To |
|---|---|
| Z1 | Green entrepreneurial self-efficacy |
| Z2 | Optimism |
| Z3 | Green entrepreneurial personality traits: Ecological values |
| Z4 | Green entrepreneurial personality traits: Social responsibility sense |
| M | Green entrepreneurial motivation |
| Y | Green entrepreneurial intentions |
| COVID | COVID-19 (Corona Virus Disease 2019) perception |
| df | Degree of Freedom |
| AVE | Average Variance Extracted |
| CR | Capability Ratio |
| RMSEA | Root Mean Square Error of Approximation |
| CFI | Comparative Fit Index |
| NNFI | Non-Normed Fit Index |
| TLI | Tucker Lewis Index |
| IFI | Incremental Fit Index |
| TPB | Theory of Planned Behavior |
Questionnaire.
| Characteristics of Study Participants | |
|---|---|
| 1 | Your gender: Male/Female |
| 2 | Your age: no more than 20/21–25/more than 26 |
| 3 | Your current educational background: (during or completed) college for professional training/(during or completed) Bachelor Degree Study/(during or completed) Master Degree Study (Non-MBA)/(during or completed) MBA Study/(during or completed) Doctoral Degree Study |
|
| |
| 1 | I believe that if I do it with my heart, I can contribute to the environment. |
| 2 | I can find a way to help solve environmental problems. |
| 3 | Solving environmental problems is a contribution that each of us can make. |
|
| |
| 1 | When the situation is uncertain, I always expect good results. |
| 2 | I think people in the majority of our society are good. |
| 3 | Most of the time, I am high-spirited. |
|
| |
| 1 | I am willing to give out part of the income if I am sure that the money can be used to prevent and control environmental pollution. |
| 2 | Environmental protection takes precedence over economic growth, even if it may slow down economic growth or increase unemployment rate. |
| 3 | I think the current ecological and environmental problems are serious (greenhouse effect, destruction of biodiversity, water pollution, etc.). |
|
| |
| 1 | College students should not only follow the social ethics, but also lead them. |
| 2 | Being shirtless, wearing slippers, and smoking in public places will bring negative influence to the city and public environment. |
| 3 | When important group activities conflict with my personal ones, I tend to participate in group activities actively. |
| 4 | After a major disaster, I tend to donate money or useful goods. |
|
| |
| 1 | I would like to start a green enterprise in order to solve employment problems. |
| 2 | I would like to start a green enterprise in order to be recognized by the society. |
| 3 | I would like to start a green enterprise in order to make a profit. |
| 4 | I would like to start a green enterprise in order to help stimulate the national economy. |
| 5 | I would like to start a green enterprise in order to make a contribution to social development. |
| 6 | I would like to start a green enterprise in order to contribute to the development of the ecological environment. |
|
| |
| 1 | I am very interested in green entrepreneurship. |
| 2 | I have seriously considered things about green entrepreneurship. |
| 3 | I will try my best to start my own green enterprise. |
| 4 | I am preparing for green entrepreneurship in the future. |
| 5 | I firmly believe that I will establish a green enterprise in the future. |
|
| |
| 1 | COVID-19 has affected my confidence in my (green) entrepreneurship. |
| 2 | COVID-19 has affected my career (including studies, work, etc.). |
| 3 | During COVID-19, I feel nervous, anxious or restless. |
| 4 | During COVID-19, I tend to worry too much. |
| 5 | During COVID-19, I tend to be more irritable in some ways. |