2017
DOI: 10.24136/eq.v12i1.3
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Measuring innovation and institution: the creative economy index

Abstract: Research background: A literature review on innovativeness and institutions pointing to their correlation and the possibility of their joint examination. Purpose of the article: This paper attempts to devise a measurement method for a creative economy, where as a result of feedback between institutions, human capital and technology conditions facilitating the development of creativity are created. Methods: An empirical meta-analysis of indicators characterising innovativeness and institutional envi… Show more

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Cited by 51 publications
(37 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%
“…All remaining errors are the sole responsibility of the author. Source: Author's elaboration based on Eurostat data (2017) and (Żelazny and Pietrucha, 2017). Table 4a Estimation of panel regressions with fixed effects.…”
Section: Acknowledgementmentioning
confidence: 99%
“…New technologies that are starting to emerge and dominate the world markets require constantly adapting and enhancing one's skills and qualifications Chmielewska & Horváthová 2016;Ehrenberger et al, 2015;Grenčiková et al, 2017;Hilkevics & Hilkevica, 2017, Lisin et al, 2017Radwan & Sakr, 2017;Mačerinskienė & Aleknavičiūtė, 2017;Shpak et al, 2017;Strielkowski, 2017;Żelazny & Pietrucha, 2017;Zemlickiene et al, 2017).…”
Section: Introductionmentioning
confidence: 99%