Baseline regression results
| Variable | (1) | (2) |
|---|---|---|
| Fned | 1.250*** | 0.753** |
| (3.61) | (2.01) | |
| Size | 0.063 | |
| (1.62) | ||
| Lev | 0.337 | |
| (0.85) | ||
| Growth | −0.159 | |
| (−1.57) | ||
| Age | −0.315** | |
| (−2.54) | ||
| ROA | 1.307* | |
| (1.71) | ||
| Board | 0.214 | |
| (1.07) | ||
| Indep | −0.257 | |
| (−0.45) | ||
| Dual | 0.172*** | |
| (2.92) | ||
| Mshare | 0.644*** | |
| (6.41) | ||
| FM | 1.114*** | |
| (3.28) | ||
| Child | 0.202*** | |
| (4.82) | ||
| HT | −0.377*** | |
| (−8.97) | ||
| Law | −0.028** | |
| (−2.05) | ||
| Year | N | Y |
| Industry | N | Y |
| Cons | 2.057*** | −1.271 |
| (6.58) | (−0.82) | |
| N | 1,129 | 1,129 |
| R2 | 0.005 | 0.459 |
| Variable | (1) | (2) |
|---|---|---|
| 1.250*** | 0.753** | |
| (3.61) | (2.01) | |
| 0.063 | ||
| (1.62) | ||
| 0.337 | ||
| (0.85) | ||
| −0.159 | ||
| (−1.57) | ||
| −0.315** | ||
| (−2.54) | ||
| 1.307* | ||
| (1.71) | ||
| 0.214 | ||
| (1.07) | ||
| −0.257 | ||
| (−0.45) | ||
| 0.172*** | ||
| (2.92) | ||
| 0.644*** | ||
| (6.41) | ||
| 1.114*** | ||
| (3.28) | ||
| 0.202*** | ||
| (4.82) | ||
| −0.377*** | ||
| (−8.97) | ||
| −0.028** | ||
| (−2.05) | ||
| N | Y | |
| N | Y | |
| 2.057*** | −1.271 | |
| (6.58) | (−0.82) | |
| 1,129 | 1,129 | |
| 0.005 | 0.459 |
Note(s): Table 2 reports the baseline regression results. Column (1) reports the result of family non-executive directors on robot adoption without the controlling variables. Column (2) reports the result of family non-executive directors on robot adoption with the controlling variables. We report t-statistics in parentheses. All models include year and industry-fixed effects. *, ** and *** indicate two-tailed statistical significance at the 10%, 5% and 1% levels, respectively. All variables are defined in Appendix
Source(s): Table by authors