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绿色金融如何影响中国城市环境污染?——以雾霾污染为例
朱向东, 朱晟君, 黄永源, 黄海峰
热带地理, 2021, 41(1): 55-66.   DOI: 10.13284/j.cnki.rddl.003303

变量东部中部西部
(5)(6)(7)(8)(9)(10)(11)(12)(13)
GF0.039 90.065 5*0.084 7***0.078 4**0.107***0.070 2**0.032 80.033 60.067 2**
ER0.058 6**0.077 5***0.031 40.078 6***0.066 9**0.096 7***0.0575**0.073 3***0.049 7*
Stru-0.087 9***-0.115***-0.102***-0.093 7***-0.093 5***-0.085 7***-0.103***-0.118***-0.112***
Tech0.096 6***0.115***0.115***0.098 3***0.095 9***0.070 8**0.079 1**0.109***0.112***
D?GF?ER0.062 9*-0.040 70.123***
D?GF?Stru0.697***0.026 50.566***
D?GF?Tech0.700***0.093 9**0.506***
D?ER?Stru0.381**0.446***0.276**
D?ER?Tech0.341**0.365**-0.212
W?GF0.176***0.164**0.161**0.178***0.186***0.192***0.213***0.197***0.203***
W?ER-0.059 4-0.049 7-0.025 6-0.057 7-0.049 9-0.033 9-0.030 3-0.044 6-0.069 5
W?Stru-0.029 4-0.021 3-0.029 1-0.024 7-0.017 4-0.017 0-0.014 20.005 50-0.017 0
W?Tech-0.098 0*-0.106*-0.106*-0.098 1*-0.097 4*-0.104*-0.058 3-0.083 5-0.086 3
PMC0.327***0.326***0.330***0.326***0.334***0.345***0.325***0.322***0.324***
Vehicle-0.117***-0.109***-0.114***-0.108***-0.123***-0.118***-0.111***-0.108***-0.103***
GDPPC-0.006 45-0.001 27-0.002 48-0.003 28-0.007 24-0.001 360.004 090.002 410.002 92
Rho0.513***0.504***0.512***0.514***0.514***0.508***0.511***0.511***0.513***
观测数1 1561 1561 1561 1561 1561 1561 1561 1561 156
R20.1680.1870.1720.1660.1720.1800.1830.1780.166
城市数289289289289289289289289289
表3 绿色金融对不同区域雾霾污染的影响
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