农业集聚对农业面源污染的影响——基于中国地级市面板数据门槛效应分析
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邓晴晴, 李二玲, 任世鑫
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Impact of agricultural agglomeration on agricultural non-point source pollution: Evidences from the threshold effect based on the panel data of prefecture-level cities in China
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DENG Qingqing, LI Erling, REN Shixin
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表6 门槛模型结果(lnTP作为被解释变量)
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Tab. 6 Estimation results of threshold model (Dependent variable: lnTP)
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变量 | ① THR | ② OLS | ③ RE | ④ FEI | ⑤ FER | ⑥ 2SLS | ⑦ RT | lnagg (lnagg≤0.452) | 0.456*** (29.92) | 0.639*** (28.47) | 0.457*** (30.60) | 0.456*** (29.92) | 0.456*** (6.41) | 0.661*** (18.26) | 0.120*** (8.58) | lnagg (lnagg>0.452) | 0.380*** (30.20) | 0.467*** (21.84) | 0.385*** (31.27) | 0.380*** (30.20) | 0.380*** (10.46) | 0.502*** (15.54) | lnagdp | 0.407*** (33.56) | 0.201*** (12.88) | 0.382*** (33.35) | 0.407*** (33.56) | 0.407*** (7.90) | 0.179*** (7.26) | 0.435*** (29.52) | lnps | 0.006 (0.27) | -0.201*** (-8.25) | 0.008 (0.37) | 0.006 (0.27) | 0.006 (0.17) | -0.223*** (-5.83) | 0.011 (0.42) | lnas | 0.182*** (9.68) | 0.384*** (18.20) | 0.220*** (12.13) | 0.182*** (9.68) | 0.182*** (4.51) | 0.365*** (13.22) | 0.281*** (12.41) | lner | 0.018*** (4.99) | 0.046*** (7.41) | 0.025*** (6.98) | 0.018*** (4.99) | 0.018*** (2.65) | 0.042*** (4.78) | 0.009* (1.85) | lnpc | 0.757*** (16.12) | 0.820*** (19.37) | 0.654*** (16.07) | 0.757*** (16.12) | 0.757*** (7.75) | 0.804*** (15.01) | 0.946*** (16.65) | lnea | -0.017* (-2.33) | -0.193*** (-15.48) | -0.025*** (-3.44) | -0.017** (-2.33) | -0.017** (-2.07) | -0.173*** (-6.60) | -0.008 (-0.97) | _cons | 4.031*** (28.50) | 5.352*** (33.38) | 4.141*** (31.17) | 4.031*** (28.50) | 4.031*** (12.93) | 5.555*** (20.85) | 3.553*** (20.77) | F-test | 157.49 [0.000] | | | 157.49 [0.000] | | | 131.11 [0.000] | LM-test | | | 9994.53 [0.000] | | | | | Hausman test | | | 52.02 [0.000] | | | | Wald test | | | | 120000 [0.000] | | | | Overidentification test | | | | | | 1.609 [0.447] | | Weak instruments test (F statistic) | | | | | | 2031/1314[0.000] | | R-sq | 0.572 | 0.855 | 0.805 | 0.572 | 0.572 | 0.856 | 0.368 | Observation | 3033 | 3033 | 3033 | 3033 | 3033 | 2359 | 3033 |
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