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

Table 9

Impact of various financial services of digital inclusive finance on poverty alleviation: medical poverty.

Variable		(1)	(2)	(3)	(4)	(5)	(6)
Payment		0.855
				(2.52)
Insurance			0.219
					(2.16)
Monetary				0.088
						(0.28)
Investment					0.559
							(2.09)
Credit						−0.400
								(−1.30)
Credit investigation							−0.007
									(−0.06)
Control variable	Yes
Year fixed effect	Yes
Province fixed effect	Yes
Number of samples		232	232	174	145	232	124
F		11.81	13.91	4.81	5.43	12.54	3.72
R^2		0.964	0.963	0.976	0.985	0.961	0.982

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