Кадровая политика университетских столиц России в отношении директоров школ как ресурс повышения качества образовательной услуги
This paper discusses the outcome of the research that was conducted as part of the projects completed in the Centre for Leadership Development in Education, Institute of Education and Faculty of Business and Management, NRU HSE in 2017—2018.The research was carried out in two university cities of the Russian Federation — Moscow and Tomsk — and was based on Alan Rowe’s methodology. The target of the research is the decision-making styles applied by state-funded school principals. The research aims to establish trends in the employment policy in the two cities and claims that it is characterized by the ratio of the number of principles with a peculiar decision-making style to the total number of principles in the sample. The paper contains questionnaire data, focus-groups data and transcripts of interviews with principles and members of their management teams. The outcome correlates with the major structural and employment reforms that have been made in Moscow within the last 7 years.
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.
The December protests in Moscow do not represent a “Russian Spring,” “Orange Revolution,” or new version of Perestroika. Rather they have more in common with the Progressive movement that fought corruption in the U.S. during the early part of the twentieth century. The demonstrations made clear that Russian citizens now want to play an active role in their country’s political life.
We present a simple hedonic model for apartment prices in Moscow in the year 2003. Based on some 15,000 observations we estimate the model and use the estimates for prediction. Pretest issues are explicitly taken into account.
The practice of dacha subdivision, and garden plot allotment in particular, spread widely during Soviet times, not only within the Russian Federation, but also to other Soviet Republics and even other socialist countries. While in the environs of the many-socialist cities, second homes are actively included into the real estate market and housing supply, Moscow’s suburbs demonstrate their loyalty to the established tradition of seasonal migration between the city and the countryside. This study seeks to address the question how do the shifting from socialist to market economy impact the dacha life-style of the Muscovites and to look into dynamics of the changes in the relations between the city and hinterland since the collapse of the socialist state from dachas’ point of view.
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.
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.