Analiza socijalnih naknada lokalnih jedinica u razdoblju 2002.-2012.

master's thesis

• Author: Nikolina Vresk
• Mentor: Katarina Ott (mentor)
• Committee member: Katarina Ott (predsjednik povjerenstva)
• Committee member: Goranka Nogo (član povjerenstva)
• Committee member: Boris Širola (član povjerenstva)
• Committee member: Boris Guljaš (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2014-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

Cilj ovog rada bio je analizirati socijalne naknade lokalnih jedinica u razdoblju 2002.-2012. godine. Deskriptivna analiza podataka pokazala je značajno povećanje socijalnih naknada JLP(R)S kroz promatrano razdoblje s godišnjom stopom rasta preko 9%. Rast naknada lokalnih jedinica bio je brži od rasta naknada konsolidirane središnje države. Prema GFS 2001 klasifikaciji lokalne jedinice najviše izdvajaju za naknade za socijalnu pomoć te prema ekonomskoj klasifikaciji proračuna za naknade građanima i kućanstvima iz proračuna. Uspoređujući vrste lokalnih jedinica utvrđeno je da za naknade građanima i kućanstvima iz proračuna najviše daju gradovi, iako ih sve više daju općine i županije. Jednostavnim linearnom modelom uočena je statistički značajna pozitivna koreliranost između ukupnih socijalnih naknada i zbroja starog i mladog stanovništva. Korelacijskom analizom utvrđena je pozitivna linearna veza socijalnih naknada po stanovniku s BDP-om po stanovniku te negativna linearna veza sa stopom registrirane nezaposlenosti. Linearni regresijski modeli za gradove i općine pokazuju pozitivnu vezu socijalnih naknada s indeksom razvijenosti. Proučavana deskriptivna i regresijska analiza podataka dala je dobar opis kretanja i karakteristika socijalnih naknada u razdoblju 2002.-2012. godine što je bila i polazna točka ovog rada.

Abstract (english)

The aim of this study was to analyze the social benefits of local government units in the period between 2002 and 2012. Descriptive analysis of the data showed a significant increase in social benefits JLP(R)S through the period, with an annual growth rate of over 9%. The growth of benefits of local government has been faster than the growth of benefits of consolidated central government. According to the GFS 2001 classification, the local unit had the highest proportions of social assistance benefits, and by economic classification of the budget for fees for citizens and households from the budget. Comparing the types of local units it has been found that most cities provided the benefits for citizens and households from the budget, although they increasingly give municipalities and counties. A simple linear model revealed a significant positive correlation between total social benefits and the sum of the old and the young population. Correlation analysis revealed a positive linear relationship between social benefits per capita with GDP per capita and a negative linear relationship with the rate of registered unemployment. Linear regression models for cities and municipalities show a positive correlation between social benefits and the index of development. Descriptive and regression analysis of the dana which have been studied gave a good description of trends and characteristics of social benefits in the period between 2002 and 2012 which was the starting point of this work.

• Keywords: analizia socijalne naknade lokalnih jedinica; GFS 2001 klasifikacija; korelacijska analiza; linearni regresijski modeli; indeks razvijenosti
• Keywords (english): analysis of social benefits of local government units; GFS 2001 classification; correlation analysis; linear regression models; index of development
• Language: croatian
• URN:NBN: urn:nbn:hr:217:457756
• Study programme: Title: Finance and Business Mathematics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2019-02-19 16:20:29