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Territorial Allocation of Subsidies and Share of EU Structural Funds in the Czech Republic

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  • Daniel Franke
  • Karel Maier

Abstract

The aim of this article is to find out how the state and EU subsidies paid in the Czech Republic since 2000 have been translated into the territory. The methodology is based on obtaining a continuous time series of data on subsidies for the smallest possible territorial level and comparing the impacts on territorial cohesion, with particular reference to structurally affected regions on the one hand and the areas of Integrated Territorial Investments (ITI) and Integrated Plan for the Development of the Territory (IPRÚ) on the other. The results show that the share of subsidies has increased steadily over the period under review. Per capita funding does not differ much between regions and no significant difference was found between assistance to structurally affected regions and the rest of the territory in the different support themes, which are mainly transport infrastructure, agriculture and education.

Suggested Citation

  • Daniel Franke & Karel Maier, 2023. "Territorial Allocation of Subsidies and Share of EU Structural Funds in the Czech Republic," Politická ekonomie, Prague University of Economics and Business, vol. 2023(4), pages 390-421.
  • Handle: RePEc:prg:jnlpol:v:2023:y:2023:i:4:id:1389:p:390-421
    DOI: 10.18267/j.polek.1389
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    References listed on IDEAS

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    1. Stefan Jestl & Ambre Maucorps & Roman Römisch, 2020. "The Effects of the EU Cohesion Policy on Regional Economic Growth: Using Structural Equation Modelling for Impact Assessment," wiiw Working Papers 185, The Vienna Institute for International Economic Studies, wiiw.
    2. Camagni, Roberto, 2009. "Territorial Impact Assessment for European regions: A methodological proposal and an application to EU transport policy," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 342-350, November.
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    More about this item

    Keywords

    Subsidies; structural funds; allocation; structurally disadvantaged regions; Czech Republic;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

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