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

Table 10

Regional heterogeneity test of digital inclusive finance.

Variable	POV1			POV2			POV3
	East	Central section	West	East	Central section	West	East	Central section	West
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
DIFI	88.634	34.954	12.140	12.133	0.417	0.977	4.479	3.389	−0.233
	(3.55)	(3.20)	(1.51)	(2.15)	(0.04)	(0.23)	(2.80)	(3.25)	(−0.38)
THEIL	1755.41	178.769	101.900	−229.363	−258.627	41.259	29.129	−23.618	−7.139
	(3.16)	(0.52)	(2.02)	(−1.28)	(−1.07)	(1.36)	(0.75)	(−0.96)	(−1.94)
IE	−6.892	68.211	−5.332	7.816	−25.590	−2.733	1.613	6.569	−0.954
	(−0.55)	(1.88)	(−0.56)	(2.78)	(−1.08)	(−0.55)	(1.53)	(2.73)	(−1.19)
FE	209.854	−16.837	−9.237	5.513	−42.219	−0.690	0.487	4.742	−1.425
	(2.60)	(−0.31)	(−0.51)	(0.31)	(−0.89)	(−0.06)	(0.10)	(1.32)	(−1.23)
UR	163.098	−50.573	37.523	−6.198	26.581	−47.367	1.19	−0.379	2.963
	(2.38)	(−1.34)	(1.05)	(−0.36)	(0.78)	(−2.29)	(0.25)	(−0.16)	(0.94)
CPI	236.027	322.331	15.814	22.940	293.12	45.147	9.377	16.932	−14.542
	(1.05)	(2.30)	(0.23)	(0.37)	(3.28)	(0.95)	(0.62)	(2.03)	(−2.35)
Constant	−37912.99	−26949.51	1010.995	380.371	−26054.78	1613.986	−1029.237	−1561.111	1832.745
	(−1.53)	(−1.76)	(0.13)	(0.06)	(−2.66)	(0.31)	(−0.59)	(−0.47)	(2.84)
Year fixed effect	Yes
Province fixed effect	Yes
Number of samples	88	64	96	88	64	96	72	64	96
F	164.14	811.80	358.28	2.76	9.14	15.31	9.45	23.82	6.78
R^2	0.987	0.994	0.990	0.960	0.950	0.959	0.938	0.989	0.951

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