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Pattern classification on specifics of public sector investments and budgeting principles

Author

Listed:
  • Lukáš Bernat

    (Vysoká škola Ekonomická v Praze, Národohospodá?ská fakulta, Katedra Filosofie)

  • Radka Michlová

    (Vysoká škola Ekonomická v Praze, Národohospodá?ská fakulta, Katedra regionálních studií)

  • Helena Mitwallyová

    (Vysoká škola Ekonomická v Praze, Národohospodá?ská fakulta, Katedra práva)

Abstract

The aim of the study is to find patterns in an exact complete data set containing the annual budget of all municipal subjects in the Czech Republic over the past 20 years. The focus of the analysis is on which resources could enable the development of and investment in municipal assets, especially estate property. The financial and real estate analysis (FAMA) method was chosen, which provides comparable indicators to calculate the debt service and other related features of subject performance on a municipal level. These indicators demonstrate whether municipal subjects follow responsible budgeting principles and/or how they utilize their own resources. Comparing similar studies using mentioned data and methodology there is a gap between context of data in time a relation chosen indicators. The reason of obstacle is to put data in time-series and properly analyze them. This appropriate items of indicators are aggregated so all the connections between them and other items are lost. In enormous amount of data study uses classification tools to unfold hidden patterns how does municipal budgeting develop in time without knowing details about each case in context of debt and assets. Study convert time dimension to static indicator of its dynamics a using pure K-Means classification conclude having 6 different clusters which differ each other in some of indicators. Within broader context of those clusters we propose an overview of municipal budgeting strategies. In big cities dominates financing of investment by debt and the rest of clusters differs usually significantly with small impact of their population size that is one of determinants budget income therefore essential budget part.

Suggested Citation

  • Lukáš Bernat & Radka Michlová & Helena Mitwallyová, 2023. "Pattern classification on specifics of public sector investments and budgeting principles," International Journal of Economic Sciences, European Research Center, vol. 12(1), pages 15-37, May.
    • Handle: RePEc:aop:jijoes:v:12:y:2023:i:1:p:15-37
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    References listed on IDEAS

    as
    1. Rachel Weber, 2010. "Selling City Futures: The Financialization of Urban Redevelopment Policy," Economic Geography, Taylor & Francis Journals, vol. 86(3), pages 251-274, July.
    2. Muhammet Atalay, 2022. "Investigating the Impact of the COVID-19 Pandemic on Economic Activities Using Multidimensional Scaling and K-Means Clustering Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(37), pages 171-198, December.
    3. Rachel Weber, 2010. "Selling City Futures: The Financialization of Urban Redevelopment Policy," Economic Geography, Clark University, vol. 86(3), pages 251-274, July.
    4. Bernardino Benito & Francisco Bastida, 2004. "The determinants of the municipal debt policy in Spain," Journal of Public Budgeting, Accounting & Financial Management, Emerald Group Publishing Limited, vol. 16(4), pages 492-525, March.
    5. Emilie Jašová & Božena Kadeřábková & Klára Čermáková, 2017. "Use of the method of the stochastic trend for NAIRU estimation in the Czech Republic and Slovakia at the macro- and meso-levels," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 256-272, January.
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    More about this item

    Keywords

    FAMA; classification; clustering municipalities; investment; budgeting; debt;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

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