EFECTS OF FOREIGN DIRECT INVESTMENT ON ECONOMIC GROWTH IN NIGERIA (1970-2011)
CHAPTER 3
DATA ANALYSIS
The Descriptive statistics analysis
There is a 42 year analysis on the GDP of Nigeria has been studied with a mean per capita GDP of almost $509 having a SD of $343 which shows that there is a great variation in the per capita GDP of Nigeria since the last 42 years. Though the kurtosis and skewness are following a normal distribution since both the values are close to 1. The FDI manufacturing has a mean investment ratio with the level of GDP is 1.0717 with a very high standard deviations of 1.47 again showing that the variation exists. Now in FDI, the kurtosis and skewness is are a little also very close 0 which shows that the data is normally distributed therefore its high SDs cannot imply to remove this variable. The similar case is with the FDI telecom the SDs are very high but its skewness and kurtosis are close to normal distribution.
The variable of openness in the trade is an important variable with a mean of almost 61% openness and most importantly with a low standard deviation of only 3% which makes this very much reliable. The similar case is with the human capital that its mean is 41% investment on secondary and university enrolment with a SD of 3.75 which quite acceptable for such a large mean. The political risk factor also seems to be significant with a less SD of 0.065 which is showing an almost same political risk throughout the 42 year time period. The rate of inflation is another significant variable with a very acceptable SD of 3% along with the mean of 19% inflation.
Infrastructure development and Returns on investment are little ambiguous in the decision making of being significant or not because they have SDs and therefore we cannot conclude their significance without analyzing much of their significance. All those variables which are found to be a little deviating from the mean will now be checked by comparing their means through t-test statistics. The descriptive statistics does not give ideal relation for the significance of the variables so therefore t-test is used and if they found significant they will be included in the model otherwise will be eliminated because including insignificant variables in the model can lead to unreliable results.
Descriptive Statistics
GDP per capita
Foreign direct investment on manufacturing
Foreign direct investment on Telecom
Openness in the economy
Human capital
Political Risk
Government size (consumption as a ratio of GDP)
Inflation rate
Returns on investment
Infrastructure development
N
Valid
42
42
42
42
42
42
42
42
42
42
Missing
18
18
18
18
18
18
18
18
18
18
Mean
509.90
1.0717
1.0134
69.6429
41.3095
.6233
.8355
19.1667
4.8155E8
2.9098E6
Mode
246a
-.50a
-.50a
69.00
40.00a
.59a
.85
15.00a
-1.99E7a
680165.00a
Std. Deviation
343.024
1.47958
1.26919
3.12988
3.75784
.06577
.07924
3.96273
9.35458E8
1.42189E6
Variance
117665.552
2.189
1.611
9.796
14.121
.004
.006
15.703
8.751E17
2.022E12
Skewness
1.388
2.077
1.903
.138
-.210
-.248
.508
.112
3.474
-.020
Std. Error of Skewness
.365
.365
.365
.365
.365
.365
.365
.365
.365
.365
Kurtosis
1.023
3.637
2.884
-1.157
-1.247
-1.038
-1.025
-1.400
13.593
-1.478
Std. Error of Kurtosis
.717
.717
.717
.717
.717
.717
.717
.717
.717
.717
Range
1296
6.33
5.37
10.00
12.00
.23
.25
12.00
4.88E9
4265796.00
Percentiles
25
258.25
.2258
.3064
67.0000
38.0000
.5700
.7675
15.7500
-1.5684E6
1.5638E6
50
375.50
.4504
.4504
69.0000
42.0000
.6350
.8150
19.0000
1.5955E8
3.1005E6
75
644.00
1.2760
1.2760
72.0000
45.0000
.6800
.9050
23.0000
8.7395E8
4.2328E6
a. Multiple modes exist. The smallest value is shown
Analysis of Correlation
Here we will focus on the correlation between two variables. Calculations of two-dimensional criteria such relationships are based on the formation of binary values, which are formed from a consideration of dependent samples. If for example we take the data on the level of cholesterol for the first two moments of time from the study of hypertension, in this case we should expect a fairly ...