- citations in SCIndeks: [1]
- citations in CrossRef:0
- citations in Google Scholar:[
]
- visits in previous 30 days:8
- full-text downloads in 30 days:6
|
|
2018, vol. 46, iss. 1, pp. 155-171
|
Fundamental drivers of prosperity in the European Union and Western Balkans countries
Fundamentalni pokretači prosperiteta u zemljama Evropske unije i Zapadnog Balkana
Project: Role of State in New Growth Model of Serbian Economy (MESTD - 179065) The risks of financial institutions and markets in Serbia-microeconomic and macroeconomic approach (MESTD - 179005) Development and utilization of novel and traditional technologies in production of competitive food products with added valued for national and global market - CREATING WEALTH FROM THE WEALTH OF SERBIA (MESTD - 46001)
Abstract
In this paper the aim is to identify key drivers that have contributed the most to the prosperity of European Union and Western Balkan countries in the 2007-2016 period. Empirical analysis is based on data for cumulative growth rate of values of nine original Legatum Prosperity Index (LPI) pillars and on implementation of Multivariate Data Analysis. Using Principal Component Analysis, four principal components are obtained and we named them: Economic Environment, Social Infrastructure, Institutional Framework and Life Conditions. Based on standardised score values of four new variables, we distinguish the countries that had the highest positive and negative score in each component. With cluster analysis based on LPI pillars growth rates, four clusters of countries have been formed: the first cluster consists of three Western Balkan countries, the second and third of, respectively, ten and four mostly new EU member state countries, and fourth of fourteen predominantly 'old' EU member countries. The analysis points out the fundamental drivers of prosperity in countries belonging to different clusters according to changes in values of nine LPI pillars in the previous decade. In all observed countries it is possible to identify certain similarities in the change of components of prosperity, as they are EU members or candidates for membership.
Sažetak
Cilj ovog rada je da identifikuje ključne pokretače koji su najviše doprineli prosperitetu zemalja Evropske unije i Zapadnog Balkana u periodu od 2007. do 2016. Empirijska analiza zasnovana je na podacima kumulativnih stopa rasta vrednosti devet stubova indeksa prosperiteta Legatum instituta (LPI), kao i na implementaciji Multivarijacione analize podataka. Pomoću Analize glavnih komponenata, dobili smo četiri osnovne komponente koje smo nazvali: Ekonomsko okruženje, Socijalna infrastruktura, Institucionalni okvir i Životni uslovi. Na osnovu standardizovanih vrednosti skorova četiri nove varijable, izdvojili smo zemlje sa najvišim pozitivnim i negativnim skorom u svakoj komponenti. Klaster analizom formirana su četiri klastera od kojih se prvi sastoji od tri zemlje Zapadnog Balkana, drugi i treći od deset i četiri, većinom novih članica EU, respektivno, a četvrti od 14 mahom 'starih' članica EU. Analiza ukazuje na ključne pokretače prosperiteta u zemljama koje pripadaju različitim klasterima na osnovu promena vrednosti devet stubova indeksa prosperiteta u protekloj deceniji. U svim posmatranim zemljama je moguće identifikovati određene sličnosti u promenama komponenata prosperiteta, budući da su one članice EU ili kandidati za članstvo u Uniji.
|
|
|
References
|
|
Altaş, D., Arikan, G. (2015) The analysis of human development index with cluster analysis techniques. Social Sciences Research Journal, 6 (3), 126-138 (September 2017).Retrived from: http://dergipark.gov.tr/download/article-file/347532
|
|
Biswas, B., Caliendo, F. (2002) A multivariate analysis of the human development index. Economics Research Institute Study Paper, 244. Retrived from: https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1243 and context=eri
|
|
Giray, S., Ergut, O. (2014) Multivariate Analysis of Countries according to Subdimensions of Human Development and Gender Inequality Indices. Eurasian Journal of Social Sciences, 2(3): 48-62
|
|
Gligorić, M., Jovanović, G.B., Savić, N. (2018) Prosperity Index as a measure of wellbeing in European Union and Western Balkan Countries. Teme, (accepted for publishing)
|
|
Hair, J.F. (2014) Multivariate Data Analysis: An Overview. in: Lovric, Miodrag [ed.] International Encyclopedia of Statistical Science, Berlin, Heidelberg: Springer Nature America, Inc, str. 904-907
|
|
IBM (2012) IBM Knowledge Center. Retrived from: https://www.ibm.com/support/knowledgecenter
|
|
Jovanović, G.B., Gligorić, M., Molnar, D. (2012) The importance of the quality of economic growth in the search for a way out of the crisis. in: Cerović B., Jakšić M., Mladenović Z., Praščević A. [ed.] From Global Crisis to Economic Growth: Which Way to Take?, Belgrade: University of Belgrade-Faculty of Economics, Volume I, Economics (pp. 629-650)
|
|
Legatum Institute (2008) Legatum prosperity index report: Methodology, data and findings
|
|
Legatum Institute (2016) The Legatum prosperity index 2016: Legatum methodology report: Bringing prosperity to life
|
|
Legatum Institute (2016) Prosperiyty rankings: Full data set. Retrived from:
http://www.prosperity.com/about/resources
|
|
Legatum Institute (2016) Europe: Prosperity is raising: Why is it uneven between Western and Eastern Europe?. Retrived from: http://www.prosperity.com/feed/regional-analysis-europe
|
|
OECD (2008) Handbook on constructing composite indicators: Methodology and user guide. Joint Research Centre-European Commission. OECD publishing
|
|
Shaker, R.R., Zubalsky, S.L. (2014) Examining patterns of sustainability across Europe: a multivariate and spatial assessment of 25 composite indices. International Journal of Sustainable Development & World Ecology, str. 1-13
|
|
Sima, V., Gheorghe, I. (2017) A multicriterial analysis of national competitiveness: Evidences for a resilient economy. Industrija, vol. 45, br. 2, str. 45-64
|
3
|
Stiglitz, J., Sen, A., Fitoussi, J.P. (2009) Report by the commission on the measurement of economic performance and social progress. http://ec.europa.eu/eurostat/documents/118025/118123/Fitoussi+Commission+report
|
|
|
|