An Approach to Study the Poverty Reduction Effect of Digital Inclusive Finance from a Multidimensional Perspective Based on Clustering Algorithms

Table 6

Impact of coverage breadth, use depth, and digitization degree of DIF on poverty alleviation.

Variable	POV1			POV2			POV3
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
Breadth	−8.640			−4.240			2.011
	(−0.72)			(−1.01)			(3.42)
Depth		18.625			3.750			0.549
		(2.59)			(2.65)			(1.43)
Digit			16.801			2.542			0.370
			(4.49)			(2.95)			(1.77)
THEIL	365.257	389.543	301.995	61.044	71.289	57.753	6.006	2.101	0.383
	(5.20)	(5.59)	(4.80)	(2.63)	(2.97)	(2.37)	(1.88)	(0.67)	(0.12)
IE	53.59	43.402	−49.662	−1.360	0.853	−0.577	−1.919	−1.721	−2.131
	(−6.88)	(−5.89)	(−7.57)	(−0.64)	(0.040)	(−0.28)	(−3.23)	(−2.82)	(−3.58)
FE	−42.076	−31.479	−5.057	−8.568	−5.747	−2.160	−2.397	−2.666	−2.084
	(−1.87)	(−1.47)	(−0.22)	(−0.85)	(−0.58)	(−0.22)	(−1.94)	(−2.09)	(−1.53)
UR	104.369	92.853	92.876	−25.159	−26.064	−25.240	2.510	1.050	0.918
	(2.37)	(2.41)	(2.87)	(−1.41)	(−1.50)	(−1.45)	(1.13)	(0.52)	(0.46)
CPI	289.168	396.017	249.008	109.651	135.208	108.317	7.723	6.281	1.278
	(2.14)	(3.19)	(2.16)	(3.48)	(2.65)	(3.68)	(1.25)	(0.99)	(0.22)
Constant	8699.576	24432.14	−6546.353	−7897.916	−11851.1	−8493.508	−589.443	−330.177	208.435
	(−0.58)	(−1.81)	(−0.52)	(−2.23)	(−3.34)	(−2.72)	(−0.84)	(−0.47)	(0.33)
Year fixed effect	Yes
Province fixed effect	Yes
Number of samples	248	248	248	248	248	248	232	232	232
F	664.58	455.27	494.23	284.45	312.09	252.82	198.91	174.00	163.28
R^2	0.985	0.986	0.988	0.959	0.960	0.961	0.963	0.962	0.962

, , and indicate 10%, 5%, and 1% significance levels.