2017
DOI: 10.24136/oc.v8i3.21
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Application of the Perkal method for assessing competitiveness of the countries of Central and Eastern Europe

Abstract: Research background: The changes that took place in the late twentieth century led to the transformation of the political system in the countries of Central and Eastern Europe (CEE). As a result, there has been an increase in the competitiveness of some of the economies among the CEE states. Due to different priorities and goals, these countries are also characterized by different levels in socio-economic development.

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Cited by 17 publications
(8 citation statements)
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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%
“…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%
“…, that refer to objects Oi, Ok,, where  means that object Ok is preferred to object Oi. This means that a minimum value of variable is preferred Kruk & Waśniewska, 2017). stimulant Area 2 -Poverty and Social Exclusion X7 -At-risk-of-poverty rate after social transfers.…”
Section: The Empirical Modelmentioning
confidence: 99%
“…The current research is consistent to a high extent with previous studies of the Author [5], where the assumption on equal weights with regard to institutional aspects was taken, and contributions of other researchers in the field, which were devoted to multiple-criteria analysis of institutional factors in the EU countries. But it must be stressed that most of these other studies were concentrated on more widely defined institutional factors not always directly relating to the knowledgebased economy and the level of international competitiveness [48,49,50,30,33]. That result can be interpreted in favour of the new institutional economics postulates, in spite of the variety of approaches to defining institutions and variety of methodologies for their quantifying there is still one big picture with a common message, where the economic success is directly related not only to good macroeconomic policies, but also effective reforming of institutional economic order.…”
Section: Discussionmentioning
confidence: 99%