## 3 Results  
In this section, we apply the CCR and BCC models to evaluate the efficiency of e-Government in the EU. The computed results of the CCR and BCC models are presented in Table 12. The computation was performed using DEA-application. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & \multicolumn{3}{c}{**Inputs**} & \multicolumn{3}{c}{**Outputs**} \\ \cline{2-8}  & **A** & **B** & **C** & **D** & **E** & **F** \\ \hline Max & 100 & 9 & 64.8 & 99 & 98 & 92 \\ Min & 70 & 1.8 & 8.5 & 50 & 8 & 12 \\ Average & 91.17 & 4.85 & 32.68 & 83.48 & 67.52 & 60.67 \\ Standard & 6.95 & 1.86 & 16.95 & 12.8 & 24.08 & 19.5 \\ Modus & 92 & 5.2 & 28 & 87 & 75 & 63 \\ Median & 100 & 9 & 64.8 & 99 & 98 & 92 \\ \hline \hline \end{tabular} Source: own processing.  
\end{table} 
Table 11: Descriptive statistics of inputs and outputs used. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**DMU** & \
\begin{tabular}{c} **Region within** \\ the EU** \\ \end{tabular} & **Country** & **CCR Model** & **SPF** & **CCR Ranking** & **BCC Model** & **SPF** &
\begin{tabular}{c} **BCC** \\ **Ranking** \\ \end{tabular} \\ \hline
1 & western & Luxembourg & 0.898 & 0.898 & 23 & 0.899 & 0.899 & 26 \\ \hline
2 & western & Austria & 0.969 & 0.969 & 12 & 1 & 1.006 & 1 \\ \hline
3 & western & Belgium & 0.907 & 0.907 & 22 & 0.929 & 0.929 & 25 \\ \hline
4 & western & France & 0.927 & 0.927 & 18 & 0.935 & 0.935 & 23 \\ \hline
5 & western & Germany & 0.871 & 0.871 & 26 & 0.892 & 0.892 & 27 \\ \hline
6 & western & Netherlands & 0.979 & 0.979 & 11 & 0.988 & 0.988 & 14 \\ \hline
7 & eastern & Hungary & 1 & 1.161 & 1 & 1 & 1.463 & 1 \\ \hline
8 & eastern &
\begin{tabular}{c} Czech \\ Republic \\ \end{tabular} & 0.916 & 0.916 & 21 & 0.961 & 0.961 & 21 \\ \hline
9 & eastern & Slovakia & 0.93 & 0.93 & 17 & 0.986 & 0.986 & 15 \\ \hline
10 & eastern & Poland & 1 & 1.149 & 1 & 1 & 1.149 & 1 \\ \hline
11 & eastern & Bulgaria & 0.922 & 0.922 & 19 & 1 & 1.158 & 1 \\ \hline
12 & eastern & Romania & 0.823 & 0.823 & 27 & 1 & 1.511 & 1 \\ \hline
13 & northern & Sweden & 0.961 & 0.961 & 13 & 0.967 & 0.967 & 17 \\ \hline
14 & northern & Denmark & 1 & 1.014 & 1 & 1 & 1014 & 1 \\ \hline
15 & northern & Finland & 1 & 1.054 & 1 & 1 & 1054 & 1 \\ \hline
16 & northern & Ireland & 0.922 & 0.922 & 19 & 0.94 & 0.94 & 22 \\ \hline
17 & northern & Estonia & 1 & 1.002 & 1 & 1 & 1.042 & 1 \\ \hline
18 & northern & Latvia & 1 & 1.425 & 1 & 1 & 1.895 & 1 \\ \hline
19 & northern & Lithuania & 0.933 & 0.933 & 16 & 0.933 & 0.933 & 24 \\ \hline
20 & southern & Slovenia & 0.894 & 0.894 & 24 & 0.97 & 0.97 & 16 \\ \hline \hline \end{tabular}
\end{table} 
Table 12: Results of the DEA analysis. In addition to the model results, the value of super-efficiency in both models was calculated. The CCR model found 10 states to be efficient and the BCC model found 13 states to be efficient. According to the CCR model, the Slovak Republic has an efficiency rate of 0.930, and according to the BCC model, this value is 0.986. The most efficient countries in terms of e-Government efficiency according to the CCR model are Greece, Italy, Portugal, Malta, Latvia, Estonia, Finland, Denmark, Poland, and Hungary. For the BCC model, these countries are joined by Austria, Romania, and Bulgaria. For some countries, the result may seem surprising, as the level of e-Government is not at a high level compared to other EU countries. However, these countries are becoming efficient because of their inputs. Big differences between the results of the CRR and the BCC models are seen for Romania and Cyprus, that is, countries can have better results in one area, thus increasing their efficiency level. Table 11 shows the country rankings based on efficiency; for the CCR model, the ranking is given in column 6, and for the BCC model it is given in the last column. The overall efficiency ratio in the CCR model is 0.949 and in the BCC model it is 0.973. In addition to evaluating the standard efficiency of the models, the so-called super-efficiency model was also used.