Generalized Trust and Personal Security as the Factors for Assessing the Quality of the Institutional Environment and Threats to Social Security (Research Experience in the Altai Territory)
- DOI
- 10.2991/iceder-19.2020.67How to use a DOI?
- Keywords
- confidence, generalized confidence, personal security, perception of risks and threats, social security
- Abstract
The focus of this paper is the relationship between the level of personal security, generalized confidence, an assessment of the functioning quality of public and state institutions, and assessments of the severity of threats to social security. The paper presents rich empirical data collected in the Altai Territory among the population aged 18 to 79 (n = 620). Clusters that define various combinations of assessments of the generalized confidence and personal security/vulnerability are highlighted; their social characteristics are described. The paper clearly shows that a high level of generalized confidence and personal security contributes to a favorable assessment of the activities of state and public institutions. Consequently, it leads to a more positive vision of risks and threats, differentiated by their nature and probabilistic assessment, which determines further risk management strategies in the region.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - S Maximova AU - D Omelchenko AU - O Noyanzina PY - 2020/01 DA - 2020/01 TI - Generalized Trust and Personal Security as the Factors for Assessing the Quality of the Institutional Environment and Threats to Social Security (Research Experience in the Altai Territory) BT - Proceedings of the International Scientific and Practical Conference on Education, Health and Human Wellbeing (ICEDER 2019) PB - Atlantis Press SP - 317 EP - 321 SN - 2352-5398 UR - https://doi.org/10.2991/iceder-19.2020.67 DO - 10.2991/iceder-19.2020.67 ID - Maximova2020/01 ER -