Table 11.
Results of Binary Logistic Regression Model for 15 Policy Portfolios
| Ordinal Number of Policy Portfolios | Ranking of Different Policy Preferences | Different Policy Mix Categories | Binary Logistic Regression Model | Factors Influencing the Social Effect of Policies | Public Perception of the Effects of Policy |
|---|---|---|---|---|---|
| 1 | 1 | Safety policies |  |
Opinion tendency\Netizens gender\The degree of active\Level of development of COVID-19 | 93.2% AIC=2,869.762 |
| 2 | 2 | Safety policies + Feasible policies |  |
The policy concerns the total number of Microblogs\Timeliness of comments posted\Opinion tendency\Netizens gender\Level of development of COVID-19 | 92.2% AIC=1,641.991 |
| 3 | 3 | Economy policies + Safety policies |  |
The policy concerns the total number of Microblogs\Timeliness of comments posted\Netizens gender\The degree of active | 89.3% AIC=4,768.212 |
| 4 | 4 | Economy policies + Safety policies + Feasible policies |  |
Opinion tendency\Netizens gender\The degree of active\Level of development of COVID-19 | 88.5% AIC=229.69 |
| 5 | 5 | Idle policies + Safety policies |  |
The policy concerns the total number of Microblogs\Timeliness of comments posted\Opinion tendency\Netizens gender\Number of followers\The degree of active\Level of development of COVID-19 | 85.5% AIC=2,148.01 |
| 6 | 6 | Economy policies + Idle policies + Safety policies |  |
85.5% AIC=218.008 |
|
| 7 | 6 | Safety policies + Idle policies + Feasible policies |  |
The policy concerns the total number of Microblogs\Timeliness of comments posted\Opinion tendency\Thumb up number\Comment number\Netizens gender\Number of followers\Level of development of COVID-19 | 85.2% AIC=2,746.003 |
| 8 | 7 | Economy policies + Safety policies + Feasible policies + Idle policies |  |
The policy concerns the total number of Microblogs\Timeliness of comments posted\Opinion tendency\Netizens gender\Number of followers\The degree of active\Level of development of COVID-19 | 82.8% AIC=4,731.289 |
| 9 | 8 | Feasible policies |  |
The policy concerns the total number of Microblogs\Opinion tendency\Netizens gender | 79.8% AIC=60.456 |
| 10 | 9 | Economy policies |  |
Timeliness of comments posted\Number of followers\Level of development of COVID-19 | 67.8% AIC=519.426 |
| 11 | 10 | Idle policies + Feasible policies |  |
The policy concerns the total number of Microblogs\Opinion tendency\Netizens gender\Number of followers\Level of development of COVID-19 | 66.9% AIC=514.627 |
| 12 | 11 | Idle policies |  |
Opinion tendency\Netizens gender\Number of followers\The degree of active | 63.2% AIC=91.277 |
| 13 | 12 | Economy policies + Feasible policies | The implementation effect of the three policy combinations is not as good as that of the single policy release (This regression model is meaningless, AIC value is meaningless) | 63.4% | |
| 14 | 13 | Economy policies + Idle policies + Feasible policies | 63.2% | ||
| 15 | 14 | Economy policies + Idle policies | 59.4% | ||