Table 8 Probit model estimation results before and after matching.

From: Chinese FDI, political events in recipient countries, and the innovation of African firms

Variable

Inno_sum

Inno_sum

Model (15)

Models (16)

Share

−0.000*

(−1.76)

0.001

(0.60)

Own

−0.001***

(−3.06)

−0.001

(−0.62)

Age

−0.001***

(−4.11)

0.002

(0.79)

Work

0.002***

(3.07)

0.006

(2.90)

Out

0.001**

(2.00)

0.001

(2.17)

Fin_c

0.018

(1.43)

0.033

(1.98)

Fin_e

0.064***

(4.97)

0.058

(0.90)

Scale

−0.000

(-0.81)

0.000

(0.49)

Hum

0.000

(1.64)

−0.000

(−0.14)

Train

0.200***

(5.86)

0.122

(2.85)

Cons

0.201***

(5.86)

0.233***

(12.24)

Industry effect

Yes

Yes

Country effect

Yes

Yes

sample size

3471

376

Pseudo\({R}^{2}\)

0.078

0.063

  1. *, **, *** represent significance at the 10%, 5%, and 1% levels, respectively; the parentheses are the t statistics of the corresponding variables.