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Table 3 Basic regression results

From: Can public hospital reform reduce medical resource mismatches? Evidence from China

Variables

(1)

(2)

(3)

(4)

(5)

Mismatch

Mismatch

Mismatch

Mismatch

Mismatch

PHR

-0.187***

-0.186***

-0.158***

-0.139***

-0.139***

 

(0.0119)

(0.0118)

(0.0204)

(0.0246)

(0.0249)

EconLevel

 

-0.0101**

-0.0103**

-0.00921**

-0.00921**

  

(0.00405)

(0.00406)

(0.00418)

(0.00392)

GovExp

 

-0.0162***

-0.0166***

-0.0150***

-0.0150***

  

(0.00490)

(0.00491)

(0.00502)

(0.00491)

EmpPop

 

-0.108***

-0.110***

-0.0938***

-0.0938***

  

(0.0324)

(0.0324)

(0.0334)

(0.0339)

PopDensity

 

-0.0155**

-0.0162**

-0.0220***

-0.0220*

  

(0.00729)

(0.00729)

(0.00755)

(0.0130)

UrbanRate

 

-0.120***

-0.117***

-0.0927***

-0.0927***

  

(0.0290)

(0.0290)

(0.0299)

(0.0292)

ForeignInvest

 

-0.0275***

-0.0265***

-0.0254***

-0.0254***

  

(0.00867)

(0.00868)

(0.00899)

(0.00907)

InfraInvest

 

0.109**

0.112**

0.0918**

0.0918**

  

(0.0448)

(0.0449)

(0.0462)

(0.0458)

TertiaryIndustry

 

-0.0497**

-0.0494**

-0.0526**

-0.0526**

  

(0.0212)

(0.0212)

(0.0220)

(0.0214)

TerrainVar

 

0.00688*

0.00678*

0.00669*

0.00669*

  

(0.00388)

(0.00390)

(0.00402)

(0.00380)

City FE

N

N

N

Y

Y

Year FE

N

N

Y

Y

Y

Controls

N

Y

Y

Y

Y

Robust

N

N

N

N

Y

Observations

3,600

3,600

3,600

3,600

3,600

R-squared

0.064

0.084

0.088

0.085

0.085

  1. *** p < 0.01, ** p < 0.05, * p < 0.1; City FE stands for city fixed effects to control for the effect of heterogeneity across cities; Year FE stands for year fixed effects to control for the effect of heterogeneity across years; Controls stands for a set of control variables; Robust stands for the use of robust standard errors to control for the effect of heteroskedasticity in the error term