Научные труды: Институт народнохозяйственного прогнозирования РАН
This volume of scientific papers IEF RAS includes articles on a wide range of issues of theory and practice analysis and forecasting of national and regional economies and their sectors. The articles raise urgent problems of Russia’s socio-economic development: restoring of economic growth, increase in productivity, transition to a new technological level of production, improving the quality of RF citizens’ life. The book is addressed to researchers, economists, teachers, graduate students, students and readers interested in current and future socio-economic Russia’s problems.
The subject of this work is the presentation of methods and results of the development of special tools for forecasting and analytical studies designed to ensure the formation of quantitative indicators that characterize the material proportions of the economy. Methodical and instrumental problems associated with the formalization of quantitative interrelationships between macroeconomic information presented by data on individual functional elements of final demand (used GDP), on the one hand, and indicators of output volumes of individual industries (types of economic activity), on the other hand, are considered. The questions connected with construction of retrospective and forecast indicators of interbranch relations are analyzed.
The size and persistence of youth unemployment has become unacceptable in some European countries, particularly in Southern Europe. Stagnation in labour productivity, on the other hand, goes back to the 1990s and even worsened after the burst of the crisis. A further evidence is that labour market reforms in many countries introduced, over the past twenty years, a set of newly designed job contracts that allowed the use of temporary work. We describe these phenomena and countries heterogeneity in four dimensions: labour productivity, youth unemployment, EPL (Employment Protection Legislation) and temporary work, and their dynamics.
This book offers a comprehensive review of how social relationships foster well-being and health at various stages of life. By explicitly focusing on three main stages of a person’s life, this book guides the reader through the influences of social relationships on the quality of life in adolescence, adulthood, and old age. Moreover, the book investigates the causal, very often psychological, mechanisms linking social relationships with quality of life. Building on the works of economists, sociologists, communication experts, psychologists and public health experts, this book provides an in-depth description of the possible mechanisms that make social relationships pivotal in people’s life.
This article addresses the questions, What do children in urban areas do on Saturdays? What type of organizational resources do they have access to? Does this vary by social class? Using diary data on children’s activities on Saturdays in the Phoenix-Mesa-Scottsdale metropolitan area, the authors describe the different types of venues (households, businesses, public space, associations, charities, congregations, and government/tribal agencies) that served different types of children. They find that the likelihood of using a charity or business rather than a government or tribal provider increased with family income. Also, the likelihood of using a congregation or a government facility rather than business, charity, or household increased with being Hispanic. The authors discuss implications for the urban division of labor on Saturdays and offer research questions that need further investigation.
The measurement of quality of life on municipality level is necessary for effective economic policy performance evaluation. The article presents the results of a study of municipal statistics data which is aimed at finding economic indicators related to quality of life within municipalities. Following an established methodology, the authors analyze available information on households’ income, consumption and wealth. The authors have examined open municipal statistics sources and found significant limitations of them. A number of indicators of wage, the retail trade volume and housing is suggested for municipal quality of life index to be constructed allowing for possible access to the data.
The theoretical aproaches and new methods of analyses of labor produstivity dynamics in Russian regions is discussed.
The textbook covers two relevant and significant directions at the moment: lean production and labor productivity. The work highlights the basic concepts of labor productivity of the XIX century, the formation of the essence of labor productivity and the main tools aimed at improving it. The textbook also discusses the best Russian and international practices of lean production, presents the financial and economic effects of the implementation of the lean manufacturing project. Each section includes questions for students to better master the material they have learned. Recommended for students of higher professional education, studying in the areas of training "Economics", "Management", in particular masters in the relevant areas in lean production, economics of production, production management.
Quality of life is a key attribute of a country. Estimating the social impact of economic development we face a problem of measuring. Because of the leading role of technologies and innovations in economic progress of modern society it is reasonable to use a corresponding global index as a measure of technological development of the country or region. Quality of life is a many-sided concept and needs particular approach for its definition in the context of the research. Two main approaches are considered. The former focuses on the population well-being and provides the objective measures of life quality; the latter is concentrated on self-assessment by the people of their quality of life. Both are significant and their using makes the analysis more comprehensive. As an indicator of innovative and technological development the Global Innovative Index (GII) can be used. There are many kinds of indicators of well-being such as Index of Economic Well-Being [Osberg, Sharp, 1998], Index of Social Progress [Estes R.J., 1998], and others. One of the most widely used indicators is the Human Development Index (HDI). A lot of interesting indicators are proposed, but many of them are focused on the particular aspect such as Health-Related Quality of Life [Andersen, 1999], Social Weather Station [Manghas, Guerro, 1998]. Other more universal indicators are often unavailable for most countries or regions of interest. So index based on self-assessment quality of life has been constructed as a first principal component of the partial indexes provided by Gallup. Various types of linear and non-linear regression models for describing the social impact of the innovative development are considered. Additional information sources have been used for explaining of the particular aspects of the problem, and the auxiliary models have been created and analyzed. As a model of the Global Innovative Index influence of the Human Development Index the logistic curve has been proposed. The explanatory power of this model is not the only reason for such a choice. The model may be considered as relevant because of the nature of the well-being indicator used. For self-assessment based quality of life index we can find another situation. Some countries with relatively high HDI show low value of the self-assessment index. It is related with the dynamic of innovative development which has an influence on the social environment of the society. In turn the social environment has a great influence on innovative and technological development of the country. Created models allow estimating social impact of innovative development indexes. The dual role of the social climate may be discussed in the context of the research. From one hand the social climate of the society is formed under influence of the technological environment. From the other hand the latter may be considered as a factor of progress in technology and innovations. Further research may be concentrated on the more comprehensive model of such interaction which evidently will be more complicated one
The article presents analysis of the impact of human resource management systems (HRM) on the financial performance of banks operating in the Russian market. The sample includes 67 banks with different organizational characteristics (nationality of capital, ownership, lo-cation of the head office, number of years of operation in the Russian market). The research is based both on qualitative (a survey of heads of HR services of banks) and quantitative (analysis of financial statements of banks). Data were collected in the period from 2011 to 2015. Initially, the main indicators characterizing the effectiveness of the HRM system (labor productivity and return on investment in human capital), as well as indicators of the financial performance of banks (return on assets and return on capital), were calculated. Further, with the help of the system of econometric equations, the impact of performance indicators of HRM systems on financial results of banks was determined. The study revealed that, on one hand, implementation of the functions of the HRM system does not have a positive impact on financial performance of the bank. At the same time, the impact of effects of some particular variables characterizing the HRM system itself (orientation on the strategic goals of the bank, the composition of the functions performed, the automation of functions, the flexibility and innovation of the HRM system, the amount of personnel costs) on performance of banks was revealed. So, the positive effect of the HRM system arises from its orientation towards the strategic goals of the bank, as well as with the use of electronic systems that automate the functions of HRM and thus improving the timing and quality of their implementation. Together, these variables, characterizing the HRM system, increase the return on investment in human capital. If the bank also achieves the flexibility and innovation of the HRM system, then labor productivity also increases. This, in turn, has a positive impact on the financial performance of banks.