Человеческий капитал российских рабочих: состояние, динамика, факторы
The common indicators of the human capital of Russian blue collars are typical for the post-Soviet countries but are highly dispersed by age groups, industries, and types of settlement. Still, these indicators are very low for 75% of Russian blue collars, while the rest have quite high-quality human capital and constitute a talent pool for a tech breakthrough in the national economy. The core drawbacks in the human capital of Russian blue collars from both groups are the lack of professional education in the chosen area and poor inclusion in the system of further learning. These disadvantages are especially evident for blue collars in developed countries.
The quality of the human capital of Russian blue collars had gradually improved until the second half of the 2000s. However later, workers were less and less likely to choose a job corresponding to their major, and less often to obtain it. On the other hand, Russians with professional education were less likely to choose blue-collar jobs. The barriers to a better quality of human capital were no goals among workers, especially those with blue-collar family traditions, for upskilling, as well as a limited number of jobs promising high qualifications. The poor quality of human capital among most blue collars and their unwillingness to improve their skills are, in these conditions, a rational response to the situation at hand.
The purpose of this paper is to focus on one of the major emerging Asian economies – India – to examine the role of human capital in asset prices.
In early 2010 Russia once again entered a turbulent period. From the system of property distribution, to structure of the political elites and relations between the Center and the regions - various spheres of Russian life are in a state of flux. Two major factors are driving this change: oil prices which are unlikely to grow the way they did in the 2000s and the rapidly deteriorating efficiency of governance. Relations between federal and regional elites, as well as public activism, are derived from these two factors and play an important role of their own. Will change take an evolutionary path or is Russia facing another revolution? The book offers a view of the Russian future until 2025 based on thematic scenarios created by an international team of Russia scholars whose expertise range from politics and economics to demographics and foreign policy.
This paper analyzes the role of education in economic growth with special focus on countries with high participation in tertiary education. The practical challenge that this conceptual paper is trying to address is that global economic growth is decreasing in the last decades – especially in developed countries.
The tasks of modernization of Russia which came into foreground during recent years brought the problem of its human potential into focus. Seven groups with different systems of norms and values that exist in Russian society today are defined and analyzed in the article. Characteristics of modern-oriented groups of Russian society are analyzed in detail, as well as their human potential. Conclusions about the role these groups can play in modernization processes in Russia are made. It is also shown how human potential with the highest quality is distributed in terms of location.
Cities nowadays compete for the excellence of their human potential providing better quality-of-life on its territories. Quality-of-life estimation is considered to be the performance indicator for city management efficiency. On the other hand, being subjective marker it reflects citizen satisfaction by the urban services quality that includes some extent of various life domains enjoyment. This study has attempted to assess the degree to which the life satisfaction affects the city satisfaction. Research examined perception of urban services quality in the main seven spheres (health care, education, social security etc.) built on survey of residents in Perm. Based on the results achieved we try to highlight the usefulness of the city satisfaction modelling to support the determining of the urban policy priorities.