Table 6

The relative degree of grey incidence indicators for the analysed problem for two standardisation methods

Standardisation by the first termStandardisation by the average
GDPCER&DVAGDPCER&DVA
a0.7620.9240.6150.7300.7870.9290.6620.759
b0.8600.9620.5760.7620.8730.9660.6250.787
c0.8030.7510.5900.7520.8210.7740.6340.775
d0.8260.6520.5740.7700.8410.6850.6280.792
e0.7180.8440.6130.6740.7360.8510.6440.698
f0.8310.9170.6680.8040.8490.9230.7100.825
g0.6860.8230.6320.6730.7080.8190.6610.697
h0.7850.7100.5860.7300.7980.7300.6230.749
i0.8080.6500.5400.7540.8250.6860.5970.777
j0.7660.8190.5980.7060.7860.8320.6450.733
k0.9650.7240.7040.9720.9740.7490.7710.975
l0.7890.9440.5940.7570.8080.9480.6400.780
m0.9260.8370.6230.7990.9320.8470.6640.819
n0.9970.9990.5990.8910.9950.9950.6680.907
o0.7400.8190.5970.7080.7610.8180.6340.732
p0.8830.8190.6540.7680.8930.8240.6920.792

Note(s): Where

GDP - Gross Domestic Product per capita from 2007 to 2013 in a given province

CE - Internal expenditures on research and development activities per capita from 2007 to 2013 in a given province

R&D - Internal expenditures on research and development activities per capita from 2007 to 2013 in a given province

VA - Gross value added per worker (in PLN) from 2007 to 2013 in a given province

a - Lower Silesian province

b - Kuyavian-Pomeranian province

c - Lublin province

d - Lubusz province

e - Łódź province

f - Le-sser Poland province

g - Masovian province

h - Opole province

i - Subcarpathian province

j - Podlaskie province

k - Pomeranian province

l - Silesian province

m - Świętokrzyskie province

n - Warmian-Masurian province

o - Greater Poland province

p - West Pomeranian province

Source(s): Own elaboration

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