Does Globalization Affect Regional Growth? Evidence for Nuts-2 Regions in EU-27

Polasek, Wolfgang; Sellner, Richard

doi:10.2478/danb-2013-0002

Cited by 21 publications

(22 citation statements)

References 60 publications

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“…The economic growth in well developed countries (OECD countries) is differently affected by globalisation, including its components: on the short term the influence is weak, whereas on the long run, there is a connection from general, economic and social globalization to economic growth (Chang and Lee, 2010). Regarding the regional growth in the European Union (EU-27) countries, globalisation affected it in a positive way according to Polasek and Sellner (2011). As the globalisation grows in Malaysia, Thailand, India and Philippines, the economic growth rates are higher too in these countries (Rao et al, 2011).…”

Section: Globalisation and Economic Growth: A Short Literature Reviewmentioning

confidence: 99%

Impact of Globalisation On Economic Growth in Romania: An Empirical Analysis of Its Economic, Social and Political Dimensions

Dima

2017

Studia Universitatis „Vasile Goldis” Arad – Economics Series

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Abstract:The paper analyses the link between globalisation and economic growth in Romania for a time span of 24 years. Data from World Bank were used in an econometrical model in order to highlight the impact of globalisation, expressed by the KOF globalisation index and its components (economic, social and political globalisation indices) on economic growth rate. A statistical strong and positive link is found between GDP per capita dynamics and overall globalisation index as well as between GDP growth rate and economic and political globalisation, except the social dimension of globalisation which has a negative impact on economic growth in Romania for the time span 1990-2013.

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Section: Globalisation and Economic Growth: A Short Literature Reviewmentioning

confidence: 99%

Impact of Globalisation On Economic Growth in Romania: An Empirical Analysis of Its Economic, Social and Political Dimensions

Dima

2017

Studia Universitatis „Vasile Goldis” Arad – Economics Series

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“…The structure of the skills of the unemployed registered at the employment office seems to be not a problem at the regional level. As pointed out by Polasek and Sellner (2013), the economic growth may be inducted by many other factors connected to openness of the Czech economy.…”

Section: Efficiency Estimates Of the Czech Regional Labour Marketsmentioning

confidence: 97%

Measuring Inefficiency of the Czech Labour Market

Němec

2015

Review of Economic Perspectives

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This paper aims to quantify the performance of the Czech regional labour markets and to reveal the most influential economic factors standing behind its dynamics in the last fifteen years. Investigated labour markets are described using matching function approach. The successful matches are treated as an output of production process, where the unemployed are paired with vacancies. Efficiency of this matching process plays an important role in determining unemployment outflows. Using stochastic frontier model approach, dynamics of quantified efficiency terms is revealed and differences among regions are evaluated. The model specification includes a fixed effect term, where individual effect terms and inefficiency terms are estimated jointly. The stochastic frontier is estimated using monthly and quarterly regional panel data of 77 districts for the period 1999-2014. Matching efficiency of the Czech regional labour markets is negatively influenced people who have been unemployed for a long time and by the unemployed aged over 50 years. Although all districts were able to operate at their stochastic frontiers of matching, an upward trend in the inefficiency has been found within the investigated period. These tendencies are accompanied by rising disparities among the regions. Low levels of estimated matching inefficiency do not necessary mean the low unemployment in the corresponding districts.

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“…Although quite interesting, these databases suffer from a critical drawback; they only offer information about the number of foreign firms with affiliates in the EU regions but not about the actual amounts invested by these companies. In this paper, though, a new regional FDI database is used (Polasek & Sellner, 2010, 2013. This database, which has already been employed in some papers dealing specifically with FDI issues at the regional level (e.g.…”

Section: Fdi Data Used In the Computation Of The Performance Indexmentioning

confidence: 99%

A New FDI Potential Index: Design and Application to the EU Regions

Maza

Villaverde

2015

European Planning Studies

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The aim of this paper is to propose a new way of computing the FDI Potential Index to address the issue of FDI attractiveness at the EU regional level. This new index employs a sound way of selecting the variables involved in its construction, for which a factor analysis is performed. Accordingly, six factors ("economic potential", "market size", "labour situation", "technological progress", "labour regulation" and "competitiveness") are identified. Next, by applying the methodology of composite indicators and considering different weighting and aggregation schemes, three versions (un-weighted linear, weighted linear and weighted geometric) of the new FDI Potential Index are computed. Afterwards, the comparison of the weighted linear version of the Potential Index with the conventional FDI Performance Index allows us to apply the United Nations Conference on Trade and Development (UNCTAD) FDI typology. The results reveal considerable heterogeneity among EU regions in terms of FDI attractiveness, and that regions belonging to the same group of the UNCTAD classification are highly concentrated from a geographical perspective. In view of these findings, we compute an additional version of both the FDI Potential and Performance indices, in which the geographical location of each region plays a key role. Based on these spatial indices, some general policy implications are drawn.

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Does Globalization Affect Regional Growth? Evidence for Nuts-2 Regions in EU-27

Cited by 21 publications

References 60 publications

Impact of Globalisation On Economic Growth in Romania: An Empirical Analysis of Its Economic, Social and Political Dimensions

Impact of Globalisation On Economic Growth in Romania: An Empirical Analysis of Its Economic, Social and Political Dimensions

Measuring Inefficiency of the Czech Labour Market

A New FDI Potential Index: Design and Application to the EU Regions

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