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Why so different from other CEECs – Poland’s cyclical divergence from the euro area during the recent financial crisis

Author

Listed:
  • Karolina Konopczak

    (Institute for Market, Consumption and Business Cycles Research)

  • Krzysztof Marczewski

    (Institute for Market, Consumption and Business Cycles Research)

Abstract

The aim of the article is to provide a plausible explanation for the relatively good performance of the Polish economy and the resulting cyclical divergence from the euro area during the recent financial crisis. The investigation of the factors which contributed to this divergence is particularly important in the light of Poland’s prospective accession to the euro area, as it may indicate the problem of asymmetric shocks affecting both economies or asymmetric responses to shocks. The results point out to two reasons for the differential output trajectory in Poland as compared to other CEECs: (i) lower exposure to foreign shocks being the result of a lower degree of economic openness, and (ii) resilient internal activity, which may be the result of structural characteristics of the Polish economy. The recent cyclical decoupling might, however, contribute to the acceleration of Poland’s real convergence to the euro area and consequently speed up the cyclical convergence process.

Suggested Citation

  • Karolina Konopczak & Krzysztof Marczewski, 2011. "Why so different from other CEECs – Poland’s cyclical divergence from the euro area during the recent financial crisis," Bank i Kredyt, Narodowy Bank Polski, vol. 42(2), pages 7-30.
  • Handle: RePEc:nbp:nbpbik:v:42:y:2011:i:2:p:7-30
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    References listed on IDEAS

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    1. repec:gdk:wpaper:10 is not listed on IDEAS
    2. Henryk Bak & Sebastian Maciejewski, 2015. "Asymmetric shocks and international risk sharing in the European Monetary Union and the European Union," Bank i Kredyt, Narodowy Bank Polski, vol. 46(6), pages 523-564.
    3. Dennis Nchor, 2020. "Labour mobility as an adjustment mechanism to asymmetric shocks in Europe: evidence from the Czech Republic, Hungary, Poland and Slovakia," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    4. Henryk Bąk & Sebastian Maciejewski, 2017. "The symmetry of demand and supply shocks in the European Monetary Union," Bank i Kredyt, Narodowy Bank Polski, vol. 48(1), pages 1-44.
    5. Agnieszka Szczypińska, 2015. "Real convergence vs. macroeconomic imbalances in the EU," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 71-86.
    6. Bąk Henryk & Maciejewski Sebastian, 2015. "Endogeneity and Specialization in the European Monetary Union," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 46(1), pages 7-40, June.
    7. Aleksandra Parteka, 2013. "The evolving structure of Polish exports (1994−2010) – diversification of products and trade partners," Bank i Kredyt, Narodowy Bank Polski, vol. 44(5), pages 435-466.
    8. Arkadiusz Kijek, 2017. "Spectral analysis of business cycles in Poland and its major trading partners," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 57-75.
    9. Marta Skrzypczyńska, 2014. "Cyclical Processes in the Polish Economy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(3), pages 153-192, September.

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    More about this item

    Keywords

    business cycles synchronisation; propagation of shocks; transmission of cyclical fluctuations; real convergence;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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