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Table 3 Correlation matrix

From: Impacts of the medical arms race on medical expenses: a public hospital-based study in Shenzhen, China, during 2009–2013

Variables

Outpatient fee per visit

Inpatient fee per capita

Total cost of medical equipment worth over 1 million

Total amount of medical equipment worth over 1 million yuan

Number of physicians

Number of nurses

Number of beds

Government’s financial investment

Hospital revenue

GDP per capita in the district

Aging rate in the district

Outpatient fee per visit

1

          

Inpatient fee per capita

0.703*

1

         

Total cost of medical equipment worth over 1 million

0.442*

0.461*

1

        

Total amount of medical equipment worth over 1 million yuan

0.467*

0.397*

0.855*

1

       

Number of physicians

0.213*

0.365*

0.841*

0.702*

1

      

Number of nurses

0.258*

0.390*

0.859*

0.721*

0.982*

1

     

Number of beds

0.349*

0.408*

0.860*

0.747*

0.933*

0.949*

1

    

Government’s financial investment

0.227*

0.156*

0.351*

0.331*

0.250*

0.262*

0.378*

1

   

Hospital revenue

0.254*

0.224*

0.531*

0.486*

0.450*

0.462*

0.567*

0.937*

1

  

GDP per capita in the district

0.725*

0.521*

0.464*

0.458*

0.285*

0.339*

0.382*

0.223*

0.290*

1

 

Aging rate (over age 60) rate in the district

− 0.108

− 0.075

− 0.027

− 0.033

− 0.078

− 0.120*

− 0.149*

0.026

− 0.018

− 0.135*

1

  1. *p < 0.05