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Table 8 Moderating effects of the urbmi on the impact of health shocks on resident consumption upgrading

From: Analysis of the role of medical insurance in the “Health shocks-consumption upgrading” model: evidence from China

Variable

Model 9

Model 10

CUP1

CUP1

CUP2

CUP1

L.CUP1

0.3638***

0.1442*

0.3121***

0.0215

 

(0.0452)

(0.0797)

(0.0524)

(0.0856)

H_rate

0.0752*

0.0532

− 0.0682**

− 0.0141

 

(0.0426)

(0.0766)

(0.0339)

(0.0955)

UEBMI

 

− 0.0239

 

− 0.0694

  

(0.0396)

 

(0.0538)

Treat5

 

− 0.0022

 

0.0056

  

(0.0027)

 

(0.0042)

Gender

− 0.0773

− 0.0116

0.0315

0.1066

 

(0.0617)

(0.0798)

(0.0360)

(0.0666)

Edu

0.0617

0.0557

0.0008

− 0.0460

 

(0.0659)

(0.1565)

(0.0818)

(0.1154)

Marry

− 0.1463*

− 0.2442**

− 0.1013**

− 0.1117

 

(0.0772)

(0.1243)

(0.0466)

(0.1130)

Unemp

0.4868

0.4879

0.1258

− 0.5231

 

(0.6747)

(0.9984)

(0.5259)

(0.7100)

H_size

2.0663**

− 0.1586

− 2.7166***

− 6.4706**

 

(0.7903)

(2.2242)

(0.7257)

(2.4087)

Dpd_ratio

− 0.0672

0.0983

0.1215**

0.2562**

 

(0.0565)

(0.1403)

(0.0508)

(0.1130)

Urban

0.0131

− 0.0578

0.0057

0.0645

 

(0.0312)

(0.0633)

(0.0164)

(0.0507)

Social security

− 0.4486***

− 0.4530***

0.3092***

0.4322***

 

(0.0604)

(0.0634)

(0.0359)

(0.0647)

Tertiary_gdp

− 0.0658

− 0.0739

− 0.0262

− 0.0116

 

(0.0452)

(0.0709)

(0.0463)

(0.0408)

Agri_gdp

− 0.0599

− 0.1673**

− 0.0618

− 0.0033

 

(0.0598)

(0.0694)

(0.0400)

(0.0435)

Fixed_asset

0.0952***

0.0805***

− 0.0335***

0.0140

 

(0.0142)

(0.0231)

(0.0090)

(0.0119)

_cons

60.2023***

82.7749***

27.3892**

30.3903**

 

(12.6287)

(16.2190)

(10.6222)

(15.0284)

N

521

306

521

306

Arellano-Bond AR(1) Test

− 4.18***

− 3.60**

− 3.46***

− 2.97***

Arellano-Bond AR(2) Test

− 0.22

1.26

1.01

1.13

Hansen overidentification test

28.44

29.12

28.79

26.71

  1. *p < 0.1, **p < 0.05, ***p < 0.01