Administrative units are established by the state as the only providers of services, which means a
monopoly position, as they have no competition and customers have no choice. However, it is in the
interest of citizens for the government to cater to the needs of society by way of sound public
administration. The aim of the thesis is to analyze the performance of all 58 administrative units
by comparing selected time series of indicators of administrative statistics. The analysis
is based on annual reports that were available at the time of writing, i.e. for the time period
2004–2019. The theoretical part contains data obtained from primary and secondary sources, and the
research part is based on an analysis of secondary data. The performance of administrative units
was measured on the basis of indicators of administrative statistics. The methodology used
comprises descriptive statistics, array analysis and correlational method. The results show
large administrative units (over 50,000 inhabitants) to be the most effective, followed by
medium-sized (18,000–50,000 inhabitants) and small ones (up to 18,000 inhabitants). It
has been found that administrative units using the Common Assessment Framework (CAF)
model achieve a lower level of performance compared to those not using the model. Small
administrative units not using the CAF model perform better whereas among their medium-sized, and
large counterparts those using the model are the more effective ones. The thesis can be useful
for research as it presents the performance of administrative units in the time period
2004-2019 making it a good starting point for comparative analysis with different time period or
other performance indicators. The thesis can also make a practical contribution as it provides
feedback information to administrative units regarding their operation and enables them to work
towards reducing differences and improving the operation of administrative units, in
cooperation with other public administration authorities.
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