Table 11.
Regression analysis of the relationship between Internet use and food safety evaluation: Controlling city fixed effects.
| Variables | Dependent Variable: Food Safety Evaluation (Ordered Probit) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Total Sample | Age < 31 | 30 < Age < 45 | 44 < Age < 65 | Age > 64 | Male | Female | Urban | Rural | |
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
| Internet use | −0.1584 *** | −0.1950 ** | −0.2196 *** | −0.1623 *** | −0.1106 | −0.1815 *** | −0.1340 *** | −0.1533 *** | −0.2267 *** |
| (0.0330) | (0.0865) | (0.0572) | (0.0515) | (0.2986) | (0.0512) | (0.0462) | (0.0424) | (0.0701) | |
| Control variables | YES | YES | YES | YES | YES | YES | YES | YES | YES |
| City fixed effect | YES | YES | YES | YES | YES | YES | YES | YES | YES |
| N | 9536 | 1640 | 2807 | 4285 | 804 | 4284 | 5252 | 5279 | 4257 |
Notes: Robust standard errors clustered by cities are in parentheses. *, **, and *** represent 10%, 5%, and 1% levels of statistical significance, respectively. Data were from Chinese Social Survey [60] for 2013.