Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2528
Title: What drives the performance of tax administrations? Evidence from selected european countries
Authors: Milosavljević, Miloš 
Radovanović, Sandro 
Delibašić, Boris 
Keywords: Tax administration;Performance measurement;Multi-criteria decision-making;Machine learning;Algorithmic governance
Issue Date: 2023
Publisher: Elsevier, Amsterdam
Abstract: An effective, efficient, fair, and trusted tax administration is a top priority for every country in the world; however, tax administration faces many issues, such as corruption, tax avoidance, or lack of flexibility. Some countries perform better in this process, and this paper aims to identify the main drivers of tax administration performance. We analyzed 35 European tax administrations by 12 performance dimensions in 2 consecutive years (2018-2019) and created a comprehensive performance measurement indicator using a data-driven neutral-aggregation approach. The findings indicate that (a) digitalization of tax administrations is the most influential driver of the overall tax administration performance, (b) Nordic countries and Switzerland can serve as role models for tax administration performance, and
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2528
ISSN: 0264-9993
Appears in Collections:Radovi istraživača / Researchers’ publications

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