Improving Customs Transit Systems
In the Islamic Countries
118
Table 46: Number of TIR Carnets issued by OIC MS
Countries 2016 2017 Change in %
(2017-2016)
2018 Change in %
(2018-2017)
Afghanistan 0 0 0.00% 100
Albania 2250 600 -73.33% 800 33.33%
Azerbaijan 2800 1900 -32.14% 1800 -5.26%
Iran 118000 115000 -2.54% 165000 43.48%
Jordan 50 50 0.00% 0 -100.00%
Kazakhstan 23500 21300 -9.36% 14700 -30.99%
Kuwait 0 0 0.00% 0 0.00%
Kyrgyzstan 4800 4100 -14.58% 2000 -51.22%
Lebanon 550 600 9.09% 500 -16.67%
Morocco 0 0 0.00% 0 0.00%
Pakistan 50
Syrian Arab Republic 650 500 -23.08% 300 -40.00%
Tajikistan 2350 3100 31.91% 3400 9.68%
Tunisia 0 0 0.00% 0 0.00%
Turkey 213900 200000 -6.50% 189000 -5.50%
Turkmenistan 13000 1000 -92.31% 6000 500.00%
United Arab Emirates - 50 0 -100.00%
Uzbekistan 27000 14000 -48.15% 32400 131.43%
Total 408850 362200 -11.41% 416050 14.87%
Source: UNECE
3.2.6 Correlation Analysis for All CTR Variables
In order to check the influence of different variables analyzed in this study and the
interdependence between these variables and other variables, we have conducted the
correlation analysis. For a measure of association between two variables, researchers rely
heavily on a statistic called Pearson’s “r,” or the correlation coefficient. The Pearson’s correlation
coefficient (r) is a measure of the association between two variables and is used for the measure
of association between CRM variables important for successful implementation of CRM system,
as explained below. The formula for Pearson’s r for two variables X and Y is:
=
∑( − ̅ )( − ̅ )
[∑( − ̅ )2] [∑( − ̅ ) 2]