Table 4. Regression analysis of local equity preferences of insurance companies.
| Variables | Insurer Dummy i,j,t | Holding Ratio i,j,t | ||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| Local i,j,t | 0.5059*** | 0.3141*** | 0.4716*** | 0.3214*** |
| (7.16) | (4.25) | (6.28) | (4.05) | |
| SOE i,j,t | 0.2346*** | 0.2366*** | ||
| (4.56) | (4.43) | |||
| Size i,j,t | 0.3820*** | 0.3560*** | ||
| (17.48) | (15.54) | |||
| Leverage i,j,t | -0.4493*** | -0.3617** | ||
| (-3.26) | (-2.57) | |||
| Top1 i,j,t | 0.3387** | 0.0653 | ||
| (2.24) | (0.42) | |||
| ROA i,j,t | 4.3941*** | 4.8820*** | ||
| (8.72) | (9.58) | |||
| Growth i,j,t | -0.0865*** | -0.0782*** | ||
| (-2.92) | (-2.60) | |||
| Dividend ratio i,j,t | 0.1225** | 0.1073** | ||
| (2.39) | (2.02) | |||
| Free float i,j,t | 0.5124*** | 0.5112*** | ||
| (5.79) | (5.53) | |||
| Risk taking i,j,t | -4.5695*** | -5.2155*** | ||
| (-6.54) | (-7.14) | |||
| EM i,j,t | -0.8627*** | -0.8484*** | ||
| (-3.78) | (-3.61) | |||
| Market index i,j,t | -0.3554* | -0.3828** | ||
| (-1.94) | (-1.98) | |||
| GDP i,j,t | 0.1151** | 0.1230** | ||
| (2.40) | (2.45) | |||
| Per capita GDP i,j,t | 0.0050 | 0.0058 | ||
| (0.05) | (0.06) | |||
| Constant | -4.2687*** | -15.0010*** | -5.0774*** | -15.3819*** |
| (-17.58) | (-10.14) | (-21.17) | (-9.91) | |
| region- (city level), industry-, and year- FE | √ | √ | √ | √ |
| observations | 336,825 | 336,825 | 336,825 | 336,825 |
Columns 1 and 2 (Columns 3 and 4) of Table 4 present the results of regressions for Eq (1) by using Insurer dummy (Holding Ratio), respectively, as two forms of proxies for Insurer, which is described and defined in Section 3.2. Columns 1 and 3 are results of not including control variables, the regression coefficients of Local are 0.5059 (t = 7.16) and 0.4716 (t = 6.028), respectively, which are statistically significant and positive at the level of 1%. After adding control variables, as displayed in columns 2 and 4, the regression coefficients of Local are of 0.3134 (t = 4.25) and 0.3214 (t = 4.05), respectively, which are also statistically significant and positive at the level of 1%. The numbers in parentheses are t -statistics and standard errors clustered at the firm and year level. * p<0.1; ** p<0.05; *** p<0.01.