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Table 7 Marginal logistic regression results of the poverty effect of the fiscal transfer payment on rural family health care vulnerability

From: Assessing the impact of public transfer payments on the vulnerability of rural households to healthcare poverty in China

Variables

VEP_1

(Poverty line = $1.9)

VEP_2

(Poverty line = $3.2)

2014

2016

2018

2014

2016

2018

E_H

−0.0281***

(0.000)

− 0.0220***

(0.000)

− 0.0791***

(0.000)

−0.0174***

(0.000)

− 0.0512***

(0.000)

−0.0925***

(0.000)

GTP*E_H

−0.0258***

(0.000)

− 0.5279*** (0.000)

− 0.1981***

(0.000)

−0.0124***

(0.009)

− 0.3205***

(0.000)

−0.2283***

(0.000)

Age

0.0006

(0.602)

0.0009

(0.400)

0.0042*

(0.100)

0.0002

(0.770)

0.0007

(0.421)

0.0004(0.856)

Age2

0.0009

(0.437)

−0.0003

(0.746)

− 0.0014*

(0.588)

0.0001

(0.913)

0.0009

(0.251)

0.0052**

(0.043)

Gender

0.0217***

(0.003)

0.0075*

(0.070)

−0.1026***

(0.000)

0.0154***

(0.005)

0.0108**

(0.028)

−0.0822***

(0.000)

Y_E

- 0.0004

(0.511)

−0.0015**

(0.026)

−0.0096***

(0.000)

− 0.00036

(0.514)

−0.0005

(0.347)

0.0105***

(0.000)

F_S

0.0229***

(0.000)

0.0199***

(0.000)

−.0133***

(0.000)

0.0158***

(0.000)

0.0136***

(0.000)

−0.0440***

(0.000)

Loglikelihood

− 1288.93

− 1022.16

− 3793.30

− 802.56

− 626.31

− 3524.67

LR Statistics

316.23

1137.70

388.73

223.67

672.69

810.15

Number of Sampling

5754

5754

5754

5754

5754

5754

  1. Source: CFPS 2014, 2016 and 2018 [56]
  2. Note: *, **, *** represented statistic indicators significantly at 10, 5, and 1%, respectively