Public debt in new EU member states – Panel data analysis and managerial implications

In this chapter, we have focused the impacts of 2008 global crisis on the debt policies and the sustainability of debts in the PIIGS Countries. For that, the circumstances of the global crisis are examined, and the economic condition before the crisis is handled. As a main objective, the public debt indicators of PIIGS Countries are pointed out. The ratios and budget units are evaluated in terms of sustainability of debts. While making these evaluations and examinations our method was panel data analysis which can be found at the end of this chapter. In this method, public debt ratios and the sustainability conditions of the public debts in the PIIGS Countries are used as the determinants of public debts sustainability.

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Determinants of technical efficiency in agriculture in new EU member states from Central and Eastern Europe

Acta Oeconomica ◽

10.1556/aoecon.64.2014.2.4 ◽

2014 ◽

Vol 64 (2) ◽

pp. 197-217 ◽

Cited By ~ 10

Author(s):

Štefan Bojnec ◽

Imre Fertő ◽

Attila Jámbor ◽

József Tóth

Keyword(s):

Technical Efficiency ◽

Rural Areas ◽

Rural Economy ◽

Large Scale ◽

Panel Data Analysis ◽

Farm Size ◽

Small Scale ◽

Member States ◽

Eu Member States ◽

New Eu Member States

Technical efficiency in agriculture of 10 new EU member states is analysed by Data Envelopment Analysis and econometric panel data analysis. Technical efficiency in agriculture is significantly positively associated with agricultural factor endowments, average farm size, farm specialisation, small-scale farms, and technological change. Foreign direct investments have an ambiguous effect. Reform and institutional developments, large-scale privatisation and price liberalisation, and urban- rural income gap are associated with technical efficiency in agriculture positively. An increase in technical efficiency in agriculture and the development of the rural economy are seen as a strategy to boost the level of living standards in agriculture and in rural areas.

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Determinants of manufacturing industry exports in European Union member states: a panel data analysis

Economic Research-Ekonomska Istraživanja ◽

10.1080/1331677x.2015.1043781 ◽

2015 ◽

Vol 28 (1) ◽

pp. 384-397 ◽

Cited By ~ 9

Author(s):

Martina Basarac Sertić ◽

Valentina Vučković ◽

Blanka Škrabić Perić

Keyword(s):

European Union ◽

Data Analysis ◽

Panel Data ◽

Manufacturing Industry ◽

Union Member ◽

Panel Data Analysis ◽

Member States ◽

European Union Member States

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Nexus between total natural resource rents and public debt in resource-rich countries:A panel data analysis

Resources Policy ◽

10.1016/j.resourpol.2021.102276 ◽

2021 ◽

Vol 74 ◽

pp. 102276

Author(s):

Gideon Minua Kwaku Ampofo ◽

Cheng Jinhua ◽

Philip Chukwunonso Bosah ◽

Edwin Twum Ayimadu ◽

Patrick Senadzo

Keyword(s):

Data Analysis ◽

Panel Data ◽

Natural Resource ◽

Public Debt ◽

Panel Data Analysis ◽

Resource Rents ◽

Natural Resource Rents

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Different convergence rates of new EU member states: Panel data analysis of the causes

Croatian Operational Research Review ◽

10.17535/crorr.2020.0023 ◽

2020 ◽

Vol 11 (2) ◽

pp. 291-300

Author(s):

Josip Viskovic ◽

Pasko Burnac ◽

Ivan Ramljak

Keyword(s):

Data Analysis ◽

Panel Data ◽

Convergence Rates ◽

Panel Data Analysis ◽

Trade Openness ◽

Real Income ◽

Key Factors ◽

Eu Member States ◽

Determining Factors ◽

Institutional Convergence

This paper, using panel data analysis, tries to identify factors regarding the different convergence rates of CESEE EU member countries’ real income between 2002 and 2018. Stylized convergence facts are identified and the drivers of economic growth based on production function, i.e. the accumulation of labour and capital and total factor productivity (TFP) growth have been analysed. Moreover, paper takes into account other variables that have been recognized as growth determining factors - trade openness, FDI, labour market and integration level, as well as TFP determining factors - institutional quality, innovation and human capital. Based on the research results trade openness and gross capital formation have been identified as key factors regarding real income growth of analysed countries. Also, it has been confirmed that growth of CESEE countries is strongly affected by the growth of Eurozone. Finally, the authors’ conclusion is that several CESEE countries are facing institutional convergence challenges.

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