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Table 3 The official promotion speed and the pandemic prevention and control test

From: The impact of accountability on local officials’ behavior in the pandemic prevention and control in China based on utility maximization

 Variables/counterpart questions

(1)

(2)

(3)

(4)

(5)

(6)

OLS

PCSE

PCSE_para

FGLS

FGLS_para

FGLS_para*

Mayor’s promotion speed

− 74.449

− 74.449***

− 13.975***

41.129***

− 12.623***

− 11.615***

 

(150.589)

(25.943)

(1.598)

(0.739)

(0.156)

(0.215)

Provincial governor’s promotion speed

− 76.523

− 76.523**

5.961*

65.962***

9.930***

7.508***

 

(171.503)

(30.200)

(3.275)

(0.997)

(0.396)

(0.445)

Baidu migration index for Wuhan

42.971***

42.971***

− 3.589***

7.637***

− 0.838***

− 0.841***

 

(4.350)

(3.280)

(0.441)

(0.052)

(0.006)

(0.005)

Interaction between mayor’s promotion speed and Baidu migration index for Wuhan

− 2420.0***

− 2420.0***

 

− 440.5***

  
 

(216.834)

(173.096)

 

(2.949)

  

Interaction between mayor’s promotion speed and provincial governor’s promotion speed

4287.262

4287.262***

 

− 2912.3***

  
 

(8448.69)

(1540.324)

 

(42.158)

  

Residents’ awareness of epidemic prevention and control

0.526***

0.526***

0.526***

0.112***

0.112***

0.111***

 

(0.014)

(0.015)

(0.015)

(0.00009)

(0.00009)

(0.00008)

Baidu migration scale index

0.091**

0.091***

0.091***

− 0.059***

− 0.059***

− 0.060***

 

(0.036)

(0.019)

(0.019)

(0.0002)

(0.0002)

(0.0002)

Number of population is counted by logarithms

0.401***

0.401***

0.401***

0.605***

0.605***

0.594***

 

(0.068)

(0.021)

(0.021)

(0.006)

(0.006)

(0.008)

Is the city in the surrounding provinces of Hubei Province (Yes = 1)

0.760***

0.760***

0.760***

0.727***

0.727***

0.716***

 

(0.094)

(0.032)

(0.032)

(0.007)

(0.007)

(0.009)

Is the city in Hubei Province (Yes = 1)

4.009***

4.009***

4.009***

3.400***

3.400***

3.380***

 

(0.709)

(0.124)

(0.124)

(0.032)

(0.032)

(0.043)

Time trend

0.006***

0.006***

0.006***

0.022***

0.022***

0.022***

 

(0.0005)

(0.0009)

(0.0009)

(0.0002)

(0.0002)

(0.0002)

Centering the interaction between mayor’s promotion speed and Baidu migration index for Wuhan

  

− 2420.1***

 

− 440.4***

− 441.9***

   

(173.101)

 

(2.952)

(2.309)

Centering the interaction between mayor’s promotion speed and  provincial governor’s promotion speed

  

4287.6***

 

− 2912.5***

− 2594.1***

   

(1540.386)

 

(42.162)

(65.508)

Interaction between mayor’s promotion speed and undergraduate major type

     

− 0.947***

      

(0.025)

Interaction between mayor’s promotion speed and graduate degree type

     

− 0.629***

      

(0.033)

Interaction between mayor’s promotion speed and title

     

− 6.671***

      

(0.095)

_cons

− 1.032

− 1.032*

− 2.196***

− 3.490***

− 2.455***

− 2.347***

 

(3.044)

(0.581)

(0.138)

(0.0358)

(0.0307)

(0.038)

N

29,862

29,862

29,862

29,862

29,862

29,862

R2

0.779

0.779

0.779

   
  1. Columns (1), (2), and (4) are the results of using Eq. (5). Column (1) shows the results of the OLS method controlling the time effects and robust standard errors of city clustering. Column (2) shows the results of the PCSE method when inter-group heteroskedasticity and inter-group contemporaneous correlation in the disturbance term. Column (4) shows the result of the comprehensive FGLS method, i.e., the intra-group autocorrelation of the disturbance term is considered based on the PCSE method. Columns (3) and (5) are the results of centering the interaction variables based on Eq. (5). Column (6) shows the results of Eq. (7) using the comprehensive FGLS method. Standard errors are reported in parentheses
  2. *p < 0.1; **p < 0.05; ***p < 0.01