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Table 5 Logistic regression results on the vulnerability effect of fiscal transfer payments on rural family health care poverty

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

Statisitics

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

p -value

p -value |

p -value

p -value

p -value

p -value

GTP

−0.0105

(0.139)

−0.0015

(0.831)

−0.0340***

(0.010)

− 0.0031

(0.157)

−0.0048

(0.354)

− 0.0604***

(0.000)

Age

0.0014

(0.257)

0.0019

(0.151)

0.0044*

(0.099)

0.0002

(0.788)

0.0006

(0.560)

0.0002

(0.925)

Age2

0.0016

(0.187)

0.0024*

(0.066)

0.0016**

(0.045)

0.0003

(0.739)

0.0002

(0.762)

0.0044*

(0.087)

Gender

0.0221***

(0.004)

0.0232***

(0.005)

−0.1028***

(0.000)

0.0149***

(0.008)

0.0178***

(0.002)

0.0799***

(0.000)

Y_E

−0.0009

(0.181)

−0.0005

(0.502)

− 0.0113***

(0.000)

−0.00003

(0.949)

− 0.0014**

(0.016)

−0.0122***

(0.000)

F_S

0.021***

(0.000)

0.0131***

(0.000)

−0.0152***

(0.000)

0.0153***

(0.000)

0.0131 ***

(0.000)

−0.0457***

(0.000)

Log likelihood

− 1352.12

− 1514.91

− 3909.70

− 843.12

− 891.95

− 3688.69

LR Statistics

189.85

152.19

155.91

142.54

141.43

482.09

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