Table 2 Baseline regression.

From: Supply chain resilience and digital transformation: perspectives from a supply chain network

 

(1)

(2)

(3)

(4)

(5)

(6)

Variables

\({{SCR}}_{i,t}\)

\({{SCR}}_{i,t}\)

\({{Out}}_{i,t}\)

\({{Out}}_{i,t}\)

\({{In}}_{i,t}\)

\({{In}}_{i,t}\)

\({{Treat}}_{i}\times {{Post}}_{t}\)

0.032**

0.031**

0.031***

0.031***

0.001

0.001

 

(2.010)

(1.997)

(3.191)

(3.191)

(0.068)

(0.059)

ROA

 

−0.057

 

−0.028

 

−0.029

  

(−1.320)

 

(−0.833)

 

(−1.029)

Lev

 

−0.006**

 

−0.004**

 

−0.003

  

(−2.321)

 

(−1.995)

 

(−1.378)

TobinQ

 

0.005*

 

0.003**

 

0.002

  

(1.859)

 

(2.037)

 

(1.130)

Growth

 

−0.000

 

−0.000

 

0.000

  

(−0.459)

 

(−0.855)

 

(0.413)

Board

 

−0.009

 

−0.005

 

−0.004

  

(−0.483)

 

(−0.418)

 

(−0.259)

Big4

 

0.061**

 

0.033*

 

0.028

  

(2.458)

 

(1.885)

 

(1.329)

Indep

 

−0.096

 

−0.001

 

−0.095

  

(−1.097)

 

(−0.025)

 

(−1.415)

ListAge

 

0.016

 

−0.000

 

0.016*

  

(1.495)

 

(−0.053)

 

(1.855)

\({Constant}\)

0.157***

0.166***

0.081***

0.087***

0.076***

0.079***

 

(55.181)

(4.394)

(46.330)

(3.177)

(35.789)

(2.696)

Controls variables

N

Y

N

Y

N

Y

Year FEs

Y

Y

Y

Y

Y

Y

Firm FEs

Y

Y

Y

Y

Y

Y

Observations

7514

7514

7514

7514

7514

7514

R-squared

0.732

0.733

0.795

0.796

0.598

0.599

F

4.040

2.712

10.18

2.542

0.00463

1.102

  1. This table displays the results of estimating Eq. (1). The variable \({{Treat}}_{i}\times {{Post}}_{t}\) is a time-varying dummy set to one if a firm is in a Supply Chain Digitization Pilot City. Supplementary Table A.1 shows the definitions of variables.
  2. ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels, respectively.