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Analýza faktorů selekce a alokace české rozvojové pomoci s využitím panelových dat a metod Probit a Tobit
[Factors of Czech Aid Selection and Allocation: Panel Probit and Tobit Analysis]

Author

Listed:
  • Jaromír Harmáček
  • Miroslav Syrovátka
  • Zdeněk Opršal

Abstract

The aim of our paper is to identify factors that influence the territorial selection and allocation of development aid of the Czech Republic. We applied random-effects probit and tobit models in our regression analysis which revealed that flows of Czech aid to individual developing countries are determined by variety of factors. Czech interests and mutual relations were mostly identified as statistically significant determinants, namely export volumes, closer historical relations and geographical proximity. The presence of Czech embassy in a country was not confirmed as a significant factor. The reflection of recipients' needs in Czech aid selection and allocation is rather ambiguous. While Czech aid flows depend positively on total population and negatively on per capita income of recipient countries, they are positively influenced by the recipients' level of social development. Similarly, the Czech Republic tends to give (more) aid to more democratic and freer countries with lower institutional quality.

Suggested Citation

  • Jaromír Harmáček & Miroslav Syrovátka & Zdeněk Opršal, 2017. "Analýza faktorů selekce a alokace české rozvojové pomoci s využitím panelových dat a metod Probit a Tobit [Factors of Czech Aid Selection and Allocation: Panel Probit and Tobit Analysis]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(2), pages 179-197.
    • Handle: RePEc:prg:jnlpol:v:2017:y:2017:i:2:id:1135:p:179-197
    DOI: 10.18267/j.polek.1135
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    References listed on IDEAS

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    1. Canavire-Bacarreza, Gustavo & Nunnenkamp, Peter & Thiele, Rainer & Triveño, Luis, 2005. "Assessing the allocation of aid: Developmental concerns and the self-interest of donors," Kiel Working Papers 1253, Kiel Institute for the World Economy (IfW Kiel).
    2. Barthel, Fabian & Neumayer, Eric & Nunnenkamp, Peter & Selaya, Pablo, 2014. "Competition for Export Markets and the Allocation of Foreign Aid: The Role of Spatial Dependence among Donor Countries," World Development, Elsevier, vol. 64(C), pages 350-365.
    3. Axel Dreher & Peter Nunnenkamp & Hannes Öhler & Johannes Weisser, 2009. "Acting Autonomously or Mimicking the State and Peers? A Panel Tobit Analysis of Financial Dependence and Aid Allocation by Swiss NGOs," CESifo Working Paper Series 2617, CESifo.
    4. Alesina, Alberto & Dollar, David, 2000. "Who Gives Foreign Aid to Whom and Why?," Journal of Economic Growth, Springer, vol. 5(1), pages 33-63, March.
    5. Ingrid Majerová, 2012. "International Development Cooperation of the Czech Republic in the Context of European Development," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(2), pages 166-185.
    6. Axel Dreher & Peter Nunnenkamp & Hannes Oehler & Johannes Weisser, 2009. "Acting autonomously of mimicking the state and peers?," KOF Working papers 09-219, KOF Swiss Economic Institute, ETH Zurich.
    7. Miroslav Syrovátka & Petra Krylová, 2012. "Aid dimension of the Commitment to Development Index: case study of the Czech Republic," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 4(4), pages 323-339.
    8. Paul Collier & David Dollar, 2004. "Development effectiveness: what have we learnt?," Economic Journal, Royal Economic Society, vol. 114(496), pages 244-271, June.
    9. Mark McGillivray, 2003. "Modelling Aid Allocation: Issues, Approaches And Results," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 28(1), pages 171-188, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    official development assistance; foreign aid selection and allocations; random-effects tobit model; random-effects probit model; aid donor; aid recipient; Czech Republic;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • F35 - International Economics - - International Finance - - - Foreign Aid

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