Artikel

Analysing of government's fiscal behaviour in the EU member states through clustering procedure

The typical behaviour of EU Member States over the past decades has been to spend more public money than revenue earned by the government to finance programs with more or less important impact on society. Budget deficits and public debt have become important issues for EU countries, especially since a common currency, combined with very different tax regimes, can give rise to dangerous and unfair behaviours. The study proposes a new research technique for the fiscal behaviour of EU Member States. In the first stage of the research, a number of variables related to structural imbalances were defined. We assumed that EU Member States can be grouped into clusters according to these variables by which we characterize disciplined or undisciplined fiscal behaviour. We used Kmeans cluster analysis in order to establish if there are some clear patterns of fiscal behaviour among EU members. The research findings indicate that the research technique for the fiscal behaviour of Member States we proposed might be developed so as to allow identifying the Member States facing or likely to face problems in terms of public finances sustainability.

Language
Englisch

Bibliographic citation
Journal: UTMS Journal of Economics ; ISSN: 1857-6982 ; Volume: 10 ; Year: 2019 ; Issue: 1 ; Pages: 23-39

Classification
Wirtschaft
Fiscal Policy
National Budget, Deficit, and Debt: General
Subject
election cycle
fiscal sustainability
Kmeans cluster analysis

Event
Geistige Schöpfung
(who)
Pîrvu, Daniela
Dutu, Amalia
Enachescu, Carmen
Event
Veröffentlichung
(who)
University of Tourism and Management
(where)
Skopje
(when)
2019

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Pîrvu, Daniela
  • Dutu, Amalia
  • Enachescu, Carmen
  • University of Tourism and Management

Time of origin

  • 2019

Other Objects (12)