Projects / Programmes source: ARIS

Conceptualization and application of an analytical model for increasing well-being in Slovenia

Research activity

Code Science Field Subfield
5.02.00  Social sciences  Economics   

Code Science Field
5.02  Social Sciences  Economics and Business 
Well-being, productivity, working activity, action plan
Evaluation (rules)
source: COBISS
Researchers (8)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  16324  PhD Janez Demšar  Engineering sciences and technologies  Researcher  2021 - 2023  340 
2.  18940  PhD Polona Domadenik Muren  Social sciences  Head  2021 - 2023  430 
3.  18441  PhD Matjaž Koman  Social sciences  Researcher  2021 - 2023  212 
4.  04049  PhD Dušan Mramor  Social sciences  Researcher  2021 - 2023  789 
5.  23031  PhD Tjaša Redek  Social sciences  Researcher  2021 - 2023  721 
6.  23017  PhD Jože Sambt  Social sciences  Researcher  2021 - 2023  345 
7.  18932  PhD Aljoša Valentinčič  Social sciences  Researcher  2021 - 2023  486 
8.  12536  PhD Blaž Zupan  Engineering sciences and technologies  Researcher  2021 - 2023  524 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0584  University of Ljubljana, School of Economics and Business (SEB)  Ljubljana  1626922  41,223 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  14,790 
DEFINING THE PROBLEM. Slovenia is facing a demographic crisis, with declining working population and growing dependent population. The problem is so severe that all scenarios, without action, have almost inconceivable negative consequences for material and non-material well-being over the next 30 years. The Action Plan for Higher Productivity Growth, based on an in-depth analysis, sets the necessary actions to maximize productivity gains. Through empirical and institutional analysis, it has highlighted the differences between Slovenia, Austria and Germany in terms of the social order and its functioning in all areas identified in the literature as crucial for productivity. The project will build on the Action Plan to revise the proposed policies and measures, to include elements that promote labor activity and have impact on non-material well-being, to identify factors and measure (synthetic indicator) that could be used to identify differences between Slovenia, Austria and Germany. There are four different ways to measuring social well-being in the literature. The first approach replaces GDP with another indicator such as the Sustainable Economic Well-being Index or the Real Progress Indicator. The second approach uses several alternative indicators with dimensions in the economic, social and environmental fields. A third approach combines different indicators into a single composite indicator (a well-being indicator), where the key methodological issue is the definition of the weights in the synthetic indicator. The last approach is based on surveys of individuals on their well-being. The OBJECTIVES contain the following CONTENT AIMS in more detail: i. Identify and review key factors behind productivity and non-material well-being gap in Slovenia, ii. Identify a limited number of measures with the greatest impact on reducing the productivity gap and raising non-material well-being in Slovenia relative to Austria and Germany, iii. rank the measures according to their impact on productivity growth in Slovenia, iv. adapting and complementing the measures in terms of achieving higher non-material well-being, v. adapting and upgrading the existing Action Plan in the light of the "anti-corona" measures to mitigate the negative effects of the health crisis on productivity growth in Slovenia. For the purpose of this analysis, we will develop an appropriate METHODOLOGY, which is also the project's aim: 1)identification and use of relevant secondary and primary databases (SURS, Eurostat, OECD, European Values Survey, IMD,etc), 2) development of own methodological tool using mixed methods, 3) data analysis using appropriate statistical methods and advanced data analysis techniques. The FINAL RESULTS of PROJECT will include: 1) A comprehensive comparative analysis of the situation in terms of the different components affecting productivity, intangible well-being and labor force participation. 2) An appropriate model for the measurement of non-material well-being will be developed, which will include those important components of well-being that, according to surveys, Slovenians attach the most importance to. 3) Comprehensive data-driven recommendations will be prepared for the design of public policy measures in different areas. CONTRIBUTIONS TO SCIENCE DEVELOPEMENT are as follows: 1) A comprehensive theoretical analysis of determinants of non-material and material well-being, based on statistical analysis and machine learning methods, and development of a comprehensive indicator for measuring well-being; 29 Preparation of expert basis for data-driven design of measures and policies. 3) Rising understanding of importance of entrepreneurial investment in factors that affect material well-being. CONTRIBUTIONS TO SOCIAL DEVELOPMENT are mainly reflected in actions and policies that enhance social well-being will adequately address the challenges of society's future development, thus help solve problems that are interlinked.
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