Research Article
Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China
Table 4
Regression results of nonlinear effect model (threshold variable: FUB and REL).
| | Model | GER-M1 | GER-M2 | GER-M3 | PER-M4 | PER-M5 | PER-M6 | | Variable | Year fixed effect | Space fixed effect | Space and year fixed effect | Year fixed effect | Space fixed effect | Space and year fixed effect |
| | L. LnMML | 0.0268(2.20) | 0.0375(1.77) | 0.1010(5.46) | 0.0475(2.24) | 0.0113 (0.55) | 0.0620(3.22) | | LnGER | −0.0226(−1.76) | −0.0251 (−0.09) | −0.0241(−3.82) | −0.0150(−2.06) | −0.0156(−2.31) | −0.0152(−4.73) | | LnPER | 0.0075 (1.56) | −0.0046(−2.09) | 0.0006 (0.28) | −0.1468(−1.69) | −0.1539(−1.89) | −0.1699(−1.86) | | LnGER × LnFUB | 0.0054(3.66) | 0.0051(2.79) | 0.0052(2.33) | | | | | LnPER × LnREL | | | | 0.0137(5.78) | 0.0136(7.70) | 0.0139(5.53) | | LnQYJ | −0.0019 (−1.06) | 0.0031 (0.02) | −0.0023 (−1.17) | −0.0289 (−0.76) | −0.0112 (−0.97) | −0.0338(−1.66) | | LnRKM | 0.0024(3.57) | −0.0022 (−1.05) | 0.0018(4.78) | 0.0074(4.31) | −0.0235 (−1.03) | 0.0087(4.97) | | LnRD | 0.0037(4.77) | 0.0044(4.65) | 0.0048(5.09) | 0.0022(2.74) | 0.0028(2.64) | 0.0046(5.29) | | LnCRD | 0.0017 (1.07) | 0.0035(2.88) | 0.0013 (0.98) | 0.0011(1.84) | 0.0031 (1.48) | 0.0029(2.10) | | LnFDI | −0.0078 (−0.59) | 0.0407 (1.18) | −0.0129 (−0.78) | −0.0148 (−0.17) | 0.0346 (1.29) | −0.0173 (−0.70) | | CONS | 0.7146(32.08) | 0.7090(31.24) | 0.7080(34.87) | 0.6504(26.35) | 0.6470(24.85) | 0.6800(33.33) | | AR (2) | 0.1182 | 0.1901 | 0.1360 | 0.1920 | 0.1801 | 0.2050 | | Sargan | 0.0937 | 0.1548 | 0.1024 | 0.1174 | 0.2012 | 0.1412 |
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Note. , , and represent significance levels of 1%, 5%, and 10%; t values are shown in parentheses. |
