Population quality of life: Assessment components and indicators
Improving population quality of life is the ultimate goal of government management. Determining the areas of regulatory impact involves quality of life components and indicators assessment. Their components vary depending on the population’s needs and opportunities for obtaining and processing information. The subject of research is the population quality of life components and indicators. The purpose is to systematize the applied measurement indicators of population quality of life components and to determine their actual composition to improve the results of quality of life assessment. Achieving the goal required solving the following tasks: methodological approaches to the components and assessment indicators selection, research of population quality of life components and indicators based on the assessment methods systematization presented in scientific studies, author’s substantiation of the population quality of life components and assessment indicators composition. The research methodology includes comparative analysis and systematization method. The author’s study uses relevant population quality of life characteristics, excluding correlating indicators, and considers minimum necessary expenditure variations to ensure the population’s livelihood while exploring Russian Federation territories’ statistical information base capacity. The research results provide the author’s substantiation of the components and indicators assessment of population quality of life. This study develops a methodology for assessing population quality of life using an objective approach. The proposed list of indicators enables us to assess the qualit y of life in dynamics in regions of the Russian Federation based on the Rosstat information base and governmental statistics of state bodies in the Russian Federation.
Authors
- Iryna Nesterenko (ORCID: https://orcid.org/0000-0002-3892-8248)
Publication Details
- Journal
- Surgut State University Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.35266/2949-3455-2025-2-4
- Primary Topic
- Socioeconomic and Demographic Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00