THE COMPETITIVENESS DISPARITY BETWEEN CORE AND PERIPHERAL EU COUNTRIES: AN EMPIRICAL ANALYSIS WITH PANEL ARDL APPROACH

Yıl 2023, Cilt: 18 Sayı: 1, 86 - 87, 15.01.2024

Tayfun Tuncay Tosun

https://doi.org/10.17261/Pressacademia.2023.1861

Öz

Purpose- This study empirically investigates whether there is an asymmetry between the competitiveness of the core and peripheral EU countries in the post-monetary union period, which includes the public debt crisis.
Methodology- This paper analyzes the long and short-term effects of the interest rate for public bond yields and real effective exchange rate on public debt in core (Germany, Austria, Belgium, Denmark, and the Netherlands) and peripheral (Greece, Ireland, Italy, Portugal, and Spain) EU countries using the panel linear Autoregressive Distributive Lag model. In the study, second-generation unit root tests, Westerlund's (2007) cointegration test, and short and long-term MG, PMG, and DFE panel econometric methods are employed.
Findings- According to the primary findings of the study: (i) while the interest rate for public bond yields is not effective on public debt in core EU countries, it has an increasing effect on public debt with a high positive coefficient in peripheral EU countries. (ii) The long-term coefficient of the real effective exchange rate in the peripheral EU countries is higher than in the core EU countries. According to this conclusion, the increase in the real effective exchange rate augments the public debt of the peripheral EU countries at a higher level than the core EU countries.
Conclusion- Contrary to the monetarist approach that relies on the role of one last funder, these findings contribute to the literature by supporting the first two conditions of the Optimum Currency Area, the Varieties of Capitalism, Comparative Political Economy, and Fundamentalist approaches, which reveal the asymmetrical structure between the competitiveness of the core and peripheral EU countries.

Anahtar Kelimeler

EMU public debt crisis, core EU countries, peripheral EU countries, panel ARDL model, competitiveness differences

Kaynakça

• Collignon, S., (2012). Europe’s debt crisis, coordination failure, and international effects, ADBI Working Paper Series, No.370.
• De Ville, F., and Vermeiren, M., (2016). The eurozone crisis and the rise of China in the global monetary and trading system: The political economy of an asymmetric shock. Comparative European Politics, 14(5), 572-603.
• Frankel, J.A., (2015). The euro crisis: Where to from here? Journal of Policy Modeling, 37, 428-444.
• Frieden, J.A., (2012). The eurozone in crisis: Origins and prospects. La Follette Policy Report, 21 (2), 1-5.
• Frieden, J.A., and Walter, S., (2017). Understanding the political economy of the eurozone crisis. The Annual Review of Political Science, 20, 371-390.
• Hall, P.A., (2012). The economics and politics of the euro crisis. German Politics, 21 (4), 355-371.
• Hall, P.A., (2017). Varieties of capitalism in light of the euro crisis. Journal of European Public Policy, 25 (1), 7-30.
• Hall, P.A., and Soskice, D., (2001). Varieties of capitalism: The institutional foundations of comparative advantage, Oxford University Press, Oxford.
• Iversen, T., Soskice, D., and Hope, D., (2016). The Eurozone and political-economic institutions. Annual Review of Political Science, 19(1), 163-185.
• Krugman, P.R., and Obstfeld, M., (2003). International economics theory and policy. 6th Edition, Addison-Wesley Higher Education Group, Boston.
• Lane P.R., (2012). The European sovereign debt crisis. Journal of Economic Perspectives, 26 (3), 49-68.
• Lane, P., and Pels, B., (2012). Current account imbalances in Europe. Centre for Economic Policy Research Discussion Paper, No. 8958.
• Obstfeld, M., (2013). Some lessons of the euro crisis. European Commission Economic Papers, No. 493.
• Olzhas, Z., (2020). The eurozone debt crisis: Causes and policy recommendation. MPRA Paper, No. 106331.
• Pesaran, H.M., Shin, Y., and Smith, R.P., (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621-634.
• Pesaran, H.M., (2004). General diagnostic tests for cross-section dependence in panels. CESifo Working Paper Series, No.1229.