Table 5 Threshold regression results.
From: The impact of energy structure on agricultural green productivity in China
Variable | First interval | Second interval | Third interval |
|---|---|---|---|
\({\text{eng}}_1 \left( {eng < 0.587} \right)\) | − 0.1365*** (− 7.19) | ||
\(eng_2 \left( {0.587 \leq eng < 0.743} \right)\) | 0.0209** (2.17) | ||
\(eng_3 \left( {eng \geq 0.743} \right)\) | 0.0413*** (4.21) | ||
r_ inc | 0.0998*** (5.27) | 0.1092*** (5.45) | 0.1056*** (5.37) |
for | 0.0012 (1.14) | 0.0009 (0.82) | − 0.0006 (0.60) |
dis | − 0.0036 (− 0.15) | − 0.0107 (− 0.41) | − 0.0140 (− 0.55) |
r_ edu | − 0.1082** (− 9.18) | − 0.1044*** (− 8.32) | 0.1005*** (− 8.18) |
is | 0.00006 (0.42) | 0.00008 (0.56) | 0.00009 (0.63) |
urb | 0.5648*** (4.02) | 0.5313*** (3.55) | 0.4827*** (3.29) |
Constant term | − 0.0217 (− 0.22) | − 0.0928 (− 0.89) | − 0.0287 (− 0.28) |
Provincial effect | Yes | Yes | Yes |
