Using a two-step clustering approach to examine judiciary efficiency in European countries
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Dátum
2025
Autori
Názov časopisu
ISSN časopisu
Názov zväzku
Vydavateľ
Weissberg SRL : Dumbrăvița
ISBN
ISSN
2247-8531
Abstrakt
Panel data, also known as longitudinal data, is collected and analysed across various research areas. This type of data consists of statistical objects that are periodically observed over time. In comparison to cross-sectional data, there are significantly fewer clustering techniques available for panel data. Therefore, the main objective of the contribution is to present a two-step clustering approach. In the first step, the panel data are transformed into a static form using a set of proposed characteristics that capture time dynamics. In the second step, the objects are clustered using conventional spatial clustering algorithms, such as K-means clustering or hierarchical partitioning. The clustering performance of this approach is then compared to that of the well-known KML method using real panel data sets. These datasets include indicators that assess the effectiveness of courts at the first instance level. Factors like digitalisation in the public sector are affecting the judiciary's efficiency during this period. The methodology implemented allowed us to categorise European countries based on the efficiency of their courts while capturing the dynamic trends. This approach is generally helpful in assessing and comparing the efficiency of public spending and evaluating the quality of public institutions, including courts.
Popis
In: Economic Research Guardian = EcRG. Dumbrăvița : Weissberg SRL, 2025. ISSN 2247-8531. Vol. 15, no. 1 (2025), pp. 142-160.
Kľúčové slová
adaptívne klastrovanie, algoritmy, algorithms, súdy, courts, európske krajiny
Výstup z projektu
VEGA 1/0411/24 Vplyv ekonomických nástrojov verejnej politiky na digitálnu pripravenosť podnikov
European Union's Horizon Europe 101079219 The Brridge project
Citácia
DOI
Práva a licenčné podmienky
CC BY-NC-ND Creative Commons Attribution-NonCommercial-NoDerivatives 4.0. International
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess