Pro-investment local policies in the area of real estate economics – similarities and differences in the strategies used by communes

Małkowska, Agnieszka; Głuszak, Michał

doi:10.12775/oec.2016.016

Cited by 18 publications

(10 citation statements)

References 27 publications

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“…The composite indicators are very convenient tools as they: (i) summarise multidimensional realities, (ii) are easier to interpret than a set of many separate indicators, (iii) reduce the visible size of a set of indicators without dropping the underlying information base, (iv) enable users to compare complex dimensions effectively (OECD JRC, 2008;Santos, Santos, 2014). Thus a growing interest in composite indicators should not be surprising as they may be applied in many different fields: innovation (Żelazny, Pietrucha, 2017;Balcerzak, Pietrzak, 2017a), health care system performance (Łyszczarz, 2016), real estate markets analysis (Małkowska, Głuszak, 2016) countries' competitiveness (Kruk, Waśniewska, 2017), socioeconomic development (Bartkowiak-Bakun, 2017), quality of institutions (Balcerzak, Pietrzak, 2017b), sustainable development , standard of living (Kuc, 2017) and many others. However, one has to be aware of the fact that they are not free of defects: (i) may be disused to support a desired policy, (ii) may disguise serious falling in some dimensions if a construction process is not transparent, (iii) are sensitive to normalization, aggregation and weighting methods, (iv) a selection of indicators and their weights may be subjective (OECD JRC, 2008;Ravallion, 2010, Paroulo, Saisana, Saltelli, 2013Santos, Santos, 2014).…”

Section: Composite Indicatorsmentioning

confidence: 99%

Is the Regional Divergence a Price for the International Convergence? The Case of the Visegrad Group

Kuc‐Czarnecka¹

2017

JOC

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The main goal of this article is to verify whether the Visegrad Group countries are achieving social convergence at national level at the expense of internal divergence. For this purpose, the existence of social beta-, sigma-and gamma-convergence at national and regional level was tested. The author of this article decided to tackle the convergence problem since there is a high risk that countries are trying to catch up at international level even at the expense of increasing internal differences. This trade off could be framed as undesirable from a cohesion policy point of view. Achieving convergence is not only important for inhabitants' standard of living but for regions' and countries' competitiveness as well. In today's turbulent and globalised world, regions must become more resilient and competitive, and this cannot be done without adequate human capital. Dealing with present unsustainable trends of many kinds, regions are forced to create the best living conditions in order to avoid the brain drain. In this article, a spatial taxonomy measure of development (Pietrzak, 2016) was used to compare the Visegrad Group countries performance with respect to their internal cohesion in the period of 2004-2014. It seems that the inclusion of spatial relationships is justified because nowadays, no region develops in isolation. Therefore, the situation in each region is influenced by neighbourhood.

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Section: Composite Indicatorsmentioning

confidence: 99%

Is the Regional Divergence a Price for the International Convergence? The Case of the Visegrad Group

Kuc‐Czarnecka¹

2017

JOC

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“…The nodes within dendogram describe the extent to which the object relates. The results of the cluster analysis are dendrograms obtained by cross-section at different levels (Ward, 1963;Ivaničová, Kalužák, 2015;Reiff and Surmanová, 2016;Małkowska & Głuszak, 2016).…”

Section: Cluster Analysismentioning

confidence: 99%

Multiple Criteria Analysis of European Union Agriculture

Reiff¹,

Surmanová²,

Balcerzak³

et al. 2016

Journal of International Studies

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“…In a hierarchical cluster analysis, the countries are divided into groups, and a graphical representationdendogramis presented (Małkowska and Głuszak, 2016). This method is convenient as the dendogram shows not only the main groups but also close subgroups of the countries (Mačerinskienė and Aleknavičiūtė, 2017).…”

Section: Methodological Approachmentioning

confidence: 99%

Welfare State in Central and Eastern Europe

Lauzadyte-Tutliene¹,

Baležentis²,

Goculenko³

2018

Economics &Amp; Sociology

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This study aims at analyzing the existing welfare state models in Europe and investigating welfare regimes in the countries of Central and Eastern Europe. The hierarchical cluster analysis, employed in this study, revealed that five welfare state models can be distinguished in this region. The analysis also revealed that Central and Eastern European countries are too diverse to form a single cluster, and thus two models of the welfare statethe Eastern Europe welfare model and the Central Europe welfare model -could be distinguished. Meanwhile, while investigating the situation of Central and Eastern European countries in the more general European context, it was observed that Central European welfare model is closer to the old European countries, while the Eastern European welfare model is very different from all other models. JEL Classification: B55, D60 I38 Keywords: welfare state, Eastern Europe welfare model, Central Europe welfare model.

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Pro-investment local policies in the area of real estate economics – similarities and differences in the strategies used by communes

Cited by 18 publications

References 27 publications

Is the Regional Divergence a Price for the International Convergence? The Case of the Visegrad Group

Is the Regional Divergence a Price for the International Convergence? The Case of the Visegrad Group

Multiple Criteria Analysis of European Union Agriculture

Welfare State in Central and Eastern Europe

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