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Corruption in the Post-Soviet Health: Individual Strategies of Institutional Adaptation

Student: Lugovskaya Irina

Supervisor: Dmitry V. Goncharov

Faculty: Saint-Petersburg School of Social Sciences

Educational Programme: Politics and Governance (Master)

Year of Graduation: 2016

This work is devoted to research of individual strategy of institutional adaptation to corruption in health sector of the Post-Soviet countries: Russian Federation and Republic of Kazakhstan. Now transformations are subject institutional systems of all postcommunist states. Corruption in research reveals as a set of strategy of adaptation to the changing conditions, transformations of formal and informal institutes. The purpose of work consists in defining individual strategy of institutional adaptation to corruption in health sector of Post-Soviet countries in the conditions of low efficiency of institutes. Due to the goal, in work the following tasks are carried out: 1) the review of theoretical literature concerning corruption studying, to approaches to studying of this phenomenon, including in health sector in the conditions of different political regimes; 2) writing of questions for carrying out interview with the purpose of identification of individual strategy of adaptation to corruption; 3) the analysis of the data on individual strategy of adaptation to corruption obtained during interview. In the methodological relation the analytical part of research leans on an qualitative method - interview. The field for research are the cities of St. Petersburg and Karaganda. As a result of work the following strategy of adaptation to corruption in health sector are revealed: acceptance, rejection of a possibility of commission of corruption actions. Besides, more widespread ideas of strategy are allocated: individual search of partners, pragmatiko-opportunistic relation to corruption, strategy of use of imperfections of the legislation, and also strategy of eradication of similar imperfections. The difference in the choice of strategy among the population of the studied cities is noted.

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