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

Table 3

Impact of the DIFI on poverty alleviation.

Variable	POV1		POV2		POV3
	(1)	(2)	(3)	(4)	(5)	(6)
DIFI	61.359	50.467	6.319	7.823	2.117	1.979
	(3.66)	(3.70)	(2.15)	(2.72)	(3.04)	(2.67)
THEIL		406.567		73.660		3.211
		(5.72)		(2.94)		(1.09)
IE		−41.880		0.642		−1.785
		(−5.93)		(0.32)		(−3.12)
FE		−8.589		−2.580		−1.651
		(−0.36)		(−0.26)		(−1.25)
UR		103.430		−23.665		1.322
		(2.85)		(−1.35)		(0.64)
CPI		395.344		130.801		6.462
		(3.34)		(4.15)		(1.01)
Constant	12734.97	−28055.880	1606.206	−11809.76	253.974	−432.588
	(7.64)	(−2.41)	(5.31)	(−3.41)	(11.84)	(−0.60)
Year fixed effect	Yes
Province fixed effect	Yes
Number of samples	248	248	248	248	232	232
F	261.18	488.09	361.61	278.19	239.64	220.93
R^2	0.979	0.987	0.955	0.960	0.961	0.964

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