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A Systems View Across Time and Space

Table 9 Results of test from error correction model

From: Does innovation promote economic growth? Evidence from European countries

Countries

Granger causality test between

PAR and GDP

PAN and GDP

RDE and GDP

Short-run

Long-run

Short-run

Long-run

Short-run

Long-run

Austria

4.90*/4.16*

−3.39*/−1.33

8.97*/−1.90

−1.79/−1.03

0.634/6.37*

−0.25/−4.17*

Belgium

18.9*/1.21

−2.46/−0.53

3.62**/1.48

−2.12/1.13

3.55*/0.28

NA/NA

Czech Republic

1.62/4.35*

NA/NA

3.27**/0.74

NA/NA

1.17/4.91*

NA/NA

Denmark

0.42/4.32**

NA/NA

3.16**/9.69*

−1.83/−3.21**

20.6*/0.11

−6.03*/−2.67

Finland

4.32*/0.31

NA/NA

0.57/5.29*

−1.20/2.03

4.39*/1.08

−1.56/1.75

France

3.19**/0.60

−2.83/−1.12

13.8*/2.57

2.91/−1.41

3.93*/2.00

NA/NA

Germany

3.34**/1.01

−3.27*/−0.82

0.72/12.2*

−4.03*/−2.92**

9.32*/1.24

NA/NA

Greece

6.73*/0.12

NA/NA

1.09/8.64*

NA/NA

–/–

–/–

Hungary

1.51/5.58*

NA/NA

4.50*/5.28*

−2.03/−1.57

4.77*/1.94

NA/NA

Ireland

0.63/3.95*

NA/NA

3.25**/5.63*

NA/NA

0.33/4.33

NA/NA

Italy

6.74*/0.71

NA/NA

0.49/1.87

NA/NA

5.09*/1.50

NA/NA

Netherlands

3.26**/0.90

NA/NA

3.64**/2.23

−2.38/−1.57

0.34/4.44*

−2.52/−0.33

Norway

2.83/14.5*

−0.85/−5.06*

1.62/23.8*

NA/NA

4.72*/0.79

0.30/−1.60

Poland

14.3*/5.46*

NA/NA

0.67/1.42

NA/NA

3.97*/1.78

NA/NA

Portugal

5.19*/1.20

−3.69***/1.28

4.09**/16.8*

NA/NA

10.3*/0.21

NA/NA

Romania

5.10*/0.86

NA/NA

3.69*/2.07

NA/NA

0.80/5.37*

−4.41/−3.07**

Spain

4.21*/4.56*

NA/NA

5.42*/0.96

NA/NA

0.23/7.71*

−1.73/−3.03**

Sweden

8.93*/13.5*

−4.10*/−2.33

7.15*/0.13

NA/NA

3.36*/2.28

NA/NA

United Kingdom

2.99**/0.33

NA/NA

10.1*/3.81**

−4.69*/−2.97**

3.69*/1.94

−1.16/−2.19

European panel

5.91*/10.1*

−6.09*/−2.60

0.45/6.61*

−6.23*/−2.38

2.84*/6.08*

−5.34*/−1.14

  1. GDP is per capita economic growth; PAR is the number of patents by residents; PAN is the number of patents by non-residents; and RDE is research and development expenditure. The short-run causality is detected through the Wald statistics, while long-run causality is detected through the statistical significance of error correction term. For both short-run and long-run, the first value represents GDP as the dependent variable and the second value represents innovation (PAR/PAN/RDE) as the dependent variable
  2. *Indicates the statistical significance at 5% level; **indicates the statistical significance at 10% level