Among the additional explanatory variables introduced, import experience (column 5 of
Table 6a) is the only one having a significant positive correlation with productivity.
This confirms the fact that it takes time to optimally integrate foreign inputs in the
production process. Export experience on the other side (column (5), table 6b) does not
have a similar impact.
As shown in column (7) in table 6a, there is a positive and significant correlation
between import intensity and productivity in the restricted sample of exporting firms. In
addition, column (7) in table 6b reports a positive and significant correlation between
export intensity and productivity in the sub-sample of importing firms.
Table 6a Relationship between Import and Performance
|
(1) |
(2) |
Dependent (3) |
variable : (4) |
TFP_index (5) |
(6) |
(7) | |
|
Import Dummy |
0.086 |
0.070 | |||||
|
Import share |
0.244 [0.135]* |
0.541 [0.557] |
0.074 |
0.349 |
0.377 | ||
|
Age of the firm |
0.003 |
0.003 |
0.003 |
0.001 |
0.002 | ||
|
Share of public ownership |
0.004 |
0.004 |
0.004 |
0.029 |
-0.001 [0.001] | ||
|
Share of foreign ownership |
1.217 [0.357]*** |
1.249 |
1.253 |
2.133 |
1.019 | ||
|
Import share squared |
-0.346 | ||||||
|
Age of Machineries |
0.002 | ||||||
|
R&D_spending |
0.000 | ||||||
|
Import experience |
0.013 | ||||||
|
Skill Intensity |
0.002 | ||||||
|
Imported new investments |
-0.371 [0.255] | ||||||
|
Constant |
0.936 |
1.077 |
1.068 |
1.063 |
1.259 |
0.705 [0.103]*** |
0.790 |
|
Observations |
558 |
548 |
548 |
548 |
301 |
331 |
280 |
|
R-squared |
0.05 |
0.09 |
0.10 |
0.10 |
0.25 |
0.20 |
0.08 |
Notes: Robust standard errors in brackets (clustered at the industry-year level)
* significant at 10%; ** significant at 5%; *** significant at 1% ,
All the estimations include year sector, size and location controls .
18