Network corruption and social trust in the Altai Region (results of a sociological study)

Author:

Spirina Anastasiya Sergeevna

Abstract

The subject of the work is the characteristic of network corruption and social trust in the Altai Territory. The analysis of social trust is based on the characteristics of generalized, institutional and particular trust. Network corruption is analyzed through the experience of the population using personal connections to solve their problems in seven areas: education, medicine, housing maintenance/repair services, social protection, police, work and obtaining registrations/various licenses. The purpose of the work is to characterize social trust and network corruption in the Altai Territory and to determine the presence/absence of differences in indicators of network corruption depending on the level of social trust. The research method was a questionnaire survey of the urban and rural population of the Altai Territory aged 18-70 years (n = 1200). To confirm the logic of statistical conclusions, a comparative analysis and analysis of conjugacy tables were carried out. The classification analysis method "classification trees" was also used. As a result of the analysis, it was revealed that the experience of using personal connections in education, social protection and in obtaining registrations / licenses differs depending on the place of residence of the population and the level of social trust. In particular, in the situation of using personal connections in the field of education, the territorial place of residence of the population, generalized and institutional trust are significant; in the sphere of the social protection system, generalized, institutional trust and the age of the population; when solving issues of obtaining registrations / licenses, particular trust and the place of residence of the population. The novelty of the study lies in the analysis of the role of social trust on the indicators of network corruption in regional society.

Publisher

Aurora Group, s.r.o

Subject

General Materials Science

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