Research Article
Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China
Table 6
Basic regression results.
| | FE model | Time FE model | Two-way FE model | Estimate | S.E. | Estimate | S.E. | Estimate | S.E. |
| Explained variable | DIF | 0.113 (3.547) | 0.032 | 0.893 (2.062) | 0.433 | 0.400 (1.710) | 0.234 | LAB | 0.189 (2.272) | 0.083 | 0.269 (4.122) | 0.065 | 0.212 (2.519) | 0.084 | GOV | −0.096 (−0.559) | 0.172 | −0.026 (−0.351) | 0.073 | −0.034 (−0.178) | 0.193 | OPE | −0.388 (−7.017) | 0.055 | 0.144 (0.934) | 0.154 | −0.391 (−6.488) | 0.060 | NAT | −0.036 (−2.170) | 0.017 | 0.046 (0.955) | 0.048 | −0.019 (−1.405) | 0.014 | CONS | 0.259 (7.641) | 0.034 | −0.247 (−1.327) | 0.186 | 0.104 (0.947) | 0.110 | sample test | | 0.751 | | −7.219 | | −0.495 | | 244 | 244 | 244 | F (5,208) = 103.980 p = 0.001 | F (5,231) = 25.098 p = 0.001 | F (5,201) = 11.891 p = 0.001 |
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Note. , , and , respectively, indicate significance at the level of 1%, 5%, and 10%; T value is in parentheses. |