Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Features of Business Demography Statistics in European Countries: Relation of Enterprise Deaths and Births to GDP per Capita and Unemployment (CROSBI ID 278887)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Žmuk, Berislav ; Dumičić, Ksenija ; Harmina, Anita Features of Business Demography Statistics in European Countries: Relation of Enterprise Deaths and Births to GDP per Capita and Unemployment // Interdisciplinary description of complex systems, 18 (2020), 2-A; 116-134. doi: 10.7906/indecs.18.2.4

Podaci o odgovornosti

Žmuk, Berislav ; Dumičić, Ksenija ; Harmina, Anita

engleski

Features of Business Demography Statistics in European Countries: Relation of Enterprise Deaths and Births to GDP per Capita and Unemployment

The aim of this study is to analyse the variations and changes in business demography and macroeconomic features for 28 European countries in 2012 and 29 European countries in 2016 as well as the relations among these features based on the variables: enterprises birth rates, enterprises death rates, the level of GDP per capita and the unemployment rate. Using the hierarchical cluster analysis approach, the second aim of this research is to form and to compare the clusters of European countries with similar characteristics according to these variables for both years. The descriptive statistics results show that a relatively high heterogeneity of European countries relative to the observed variables was present in both years, but the change in variables averages suggests an overall improvement of economic and business demography features in 2016. The correlation analysis revealed that the death rate of enterprises had a statistically significant negative correlation with GDP per capita in both years and a significant positive correlation with the unemployment rate and with the birth rate of enterprises only in 2012. The hierarchical cluster analysis resulted in seven clusters in each observed year. The comparison of clustering solutions for 2012 and 2016 detected the European countries for which the movement between clusters could be seen as a deterioration and those for which it can be seen as an improvement in some or in all of the observed variables. These results have important implications for public policies aimed at reducing death of enterprises and unemployment.

business demography statistics ; correlation ; European countries ; hierarchical clustering method

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

18 (2-A)

2020.

116-134

objavljeno

1334-4684

1334-4676

10.7906/indecs.18.2.4

Povezanost rada

Ekonomija

Poveznice
Indeksiranost