Несоответствие работы полученному образованию: случай современных российских отходников
The article deals with the reasons of why contemporary Russian otkhodniks – domestic temporary labor migrants – do not work in line with their vocational training. Most occupations for which they had been trained are in demand on the Russian labor market. However, in the small towns and villages where otkhodniks are especially numerous, appropriate work is either unavailable or unacceptably low-paid. The main reason for "betraying" the acquired profession appears to be the way in which migrants find work on the side - through acquaintances or by themselves rather than using official channels. The methods of securing work do not allow specialists to "meet" corresponding jobs, thus becoming a certain antipode to the previous postgraduate job placement system.
The paper is based on materials from two projects carried out by the Center for Migration Studies (CMS, Moscow), which have been realized with support from the UN Women: “Opportunities and Problems of Social Integration of Labor Migrants from Central Asian Countries in Russia” (the sample size is 400 respondents; the query regions are Moscow and St. Petersburg) and “Migrant Women from CIS Coun tries in Russia” (the sample size is 1169 respondents; the query regions are Moscow and Moscow oblast, Samara oblast, St. Petersburg and Leningrad oblast, and Krasnodar krai). The materials of two focus groups with migrant women from Central Asia in Russia, which were organized in 2010, have also been used.
This paper discusses the data of sociological surveys on the motives and sources of attracting migrants, their legalization and the quality of the labor force, employment conditions, and the registration of labor relations with the employer. The surveys were conducted in selected regions and industries employing migrants.
The chapter contains a review of labour migration trends and migration policies in the area of the Commonwealth of independend states.
The article is devoted to the problems of migration regime as the regulating force for migration legal regulation. Structural elements are being studied. The place of legal responsibility is being determined in the sphere of migration and legal arrangements. We propose the ways to improve legal provision for migration process.
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.