ФУНКЦИОНИРОВАНИЕ ТУРИСТСКОГО СЕКТОРА В УСЛОВИЯХ КАРАНТИНА ПРИ ПАНДЕМИИ: ПРОБЛЕМЫ И РЕШЕНИЯ
The present investigation provides one of the first complex attempts of theorizing on changes
in tourism sector activity within COVID-19 quarantine. Drawing from system and criterion approach
we usedthe analysis of official documents and news publication to identify 8 international models
of tourism sector support within the pandemic quarantine. Each model was considered with the instrument of strengths and weaknesses analysis. By reviewing Russian national model we conducted
deeper analyses juxtaposing and describing experience of Russian regions. Drawing from aтopinion
poll realized in Perm krai we described some special features of each tourism sector segment activity
within COVID-19 pandemic quarantine. The opinion polls mentioned also showed some limitations
of Russian tourism sector support model. With regard to the data mentioned, we proposed the concept
of the national electronic exchange service of tourism and resort. This system will potentially support
the Russian model in the condition of epidemic crisis, helping the national tourism sector to save
and then to restore its activity following laissez-faire principle.
The article analyses the differences in demographic dynamics for settlements and areas of different types viewed from the perspective of the center-periphery conception. The author veries the hypothesis that in modern conditions the concentration of the population increases in regional centers and adjacent areas, the regional dynamics of the population in certain administrative and territory units is as strong as the interregional one. The periphery territories of different regions have fewer differences compared with regional centers. This factor forms the interregional socioeconomic differentiation. The article also provides the dynamics of the
population in cities, towns and rural areas depending on their remoteness from the regional center.
This article analyzes the political reasons for Russia's failure to define and implement a coherent regional policy during the 2000s. Combining Jonh Kingdon's "multiple framework" and empirical evidence from Russian regional policy, I conclude that the failure resulted from the inability and administratively and politically weak reformers to resist top officials who consider regional development a secondary priority and pressure groups that are interested in the maintaining the status quo.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
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.