Adoption and Benefits of Statistical Methods in Enterprises: Differences between Croatian Regions

Abstract

This paper aims to address differences in the use of statistical methods by enterprises as one of the factors leading to the uneven level of economic development between different regions. For research purposes, a web survey was conducted on a sample of 667 Croatian enterprises in 2013. In order to better distinguish between Croatian regions, a complex sample survey design was used. The results show that the highest rates of statistical methods use among enterprises are in the Central and East region (36.96%). The conducted logistic regression analysis showed that the enterprises that use statistical methods have 63.5% greater odds of achieving positive net income than enterprises that do not. The research results point out the need for the adoption of statistical methods as a tool for achieving higher net income and for reducing economic dissimilarities between regions.

Development of Listed Companies in Selected Voivodeships of Eastern Poland in 2013–2017

“…Other regions are lagging in terms of growth and economic development. Large regional differences also occur in Croatia [Zmuk 2015], where the most economically developed region is the north-western region, while the most difficult situation is in the central and Eastern regions. The GDP per capita of the region where it is lowest slightly exceeds half of the GDP per capita of the region where it is highest.…”

Measuring Efficiency of Statistical Methods Use in Enterprises: Development of an Initial System of Indicators

“…The higher the I 3 indicator is, the higher statistical methods use level is and the higher business results could be as a result of intensive use of statistical methods. If the I 3 indicator is low it can be assumed that the business results are not at their maximum and that they could be improved by more intensive use of statistical methods [28]. Because of business cycles it is recommended for the I 3 indicator to be higher than 0.66.…”