Профессиональные стандарты - основа системы обеспечения отрасли ЖКХ профессиональными кадрами
The shift from a centrally planned to a market-based economy involves, amongst other elements, the restructuring of state-owned or privatized enterprises. Realigning product lines, adopting new technology and imposing sound finances are all important stages in the integration of enterprises into world markets.
This book analyses the efficiency and equity of the economic restructuring in the two largest successor states of the Soviet Union, Russia and Ukraine. It raises important questions such as why these countries have been relatively slow to pursue restructuring policies, how the transition has affected labour markets and institutions, and how it impacted on poverty and social safety. The analysis is based on a careful examination of micro-level data, documenting the experiences of and interactions between individuals and institutions.
In this paper the public-private wage gap is estimated by means both of the OLS and the quantile regression, which will provide a more complex picture of the distribution of the public-private sector wage gap. The author finds the existence of significant public-private wage gap (about 30%) considering both observable and unobservable characteristics of workers and jobs. Using the decomposition based on quantile regression helps to answer the question about the nature of the wage differences. The author comes to the conclusion that the main reason for the gap is the institutional mechanisms of public sector wages in Russia. The analysis is based on the data from Russian Longitudinal Monitoring Survey (RLMS-HSE) 2000-2010.
The article is based on the results of the survey of migrant workers from Central Asia in Moscow and Moscow region. One of the key issues of the study was the degree of adaptation of migrants to life in the capital. The article discusses the issue both from the point of view of experts on labor migration and of the migrants themselves.
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.