Table 10 Instrumental variable method for endogeneity test.
From: Integration and innovation of China’s manufacturing and logistics industries and carbon emissions
Variable | Dependent variable: RCE | |
|---|---|---|
\({{DPY}2015}_{{it}}\) and \({{DPY}22015}_{{it}}\) (1) | \({{DPYV}}_{{it}}\) and \({{DPYV}2}_{{it}}\) (2) | |
IIML | 0.2849** (3.43) | 0.2908** (3.36) |
IIML2 | −0.4304** (−2.73) | −0.4392** (−2.67) |
Control variable | Yes | Yes |
Provincial fixed effect | Yes | Yes |
Year fixed effect | Yes | Yes |
KP-LM statistic | 3.763 (Chi-sq p = 0.0524) | 3.769 (Chi-sq p = 0.0522) |
KP-F statistic | 23.574 | 22.306 |
N | 240 | 240 |
