Acculturation preferences, ethnic and religious identification and the socio-economic adaptation of Russian-speaking immigrants in Belgium
This study tests a model of the socio-economic adaptation of Russian-speaking immigrants in Belgium. It examines the roles of language skills and length of stay in Belgium, and of ethnic and religious identification in their acculturation preferences in their adaptation. The study showed that language skills were positively related to preferences for integration and assimilation, while length of stay was negatively related to separation. In turn, integration and assimilation predicted higher socio-economic adaptation, and separation predicted lower adaptation. Ethnic and religious identification also played a role. In sum, more orientation toward the host society (integration and assimilation) promoted better adaptation.
This chapter addresses changes in immigration trends and their psychosocial effects in post-Soviet Russia. Russia is currently the world’s second most populous country (after the USA) in terms of its immigrant population, with most coming from the Central Asian States (Uzbekistan, Tajikistan, and Kyrgyzstan) and China. The chapter begins with an examination of the social issues that immigrants must face. The research focuses on Moscow as the most attractive destination for immigrant workers. The chapter presents the findings of an empirical study conducted on the reciprocal acculturation between immigrants and the host society in Moscow. The study examines the correlations between the immigrants’ acculturation attitudes and the host society’s acculturation expectations and perceptions of the immigrants. More specifically, the study focuses on how measures of integral security (including physical, cultural and economic security) influence the host society’s attitudes towards immigrants.
This summary of the report describes the construction and testing of a theoretical model of the socio-economic adaptation (SEA) of immigrants, considering psychological factors as basic. In the analysis of previous studies, acculturation attitudes of immigrants were identified as key psychological factors of SEA for the construction of a theoretical model; the length of stay in the host country and language skills were used as control variables; ethnic and religious identification were used as predictors of acculturation attitudes.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.