Россия и Китай в евразийской интеграции: сотрудничество или соперничество?
The authors are looking into the question if teo kyy players on the Eurasian chessboard - Russia and China - are allies or competitors in the global game? This question becomes more important in the context of Western sanctions against Russia and her strategic pivot to the East.
This section describes the policy of the Russian Federation towards Ukraine and Belarus in the context of the Eurasian integration
In order to turn the US and Chinese strategies in Asia Pacific into an opportunity to implement its own strategy in the region, Russia would require not simply its typical for the recent time diplomatic skill, but a strategic vision, wisdom and political will. Above all, Moscow should be able to forge a qualitatively new partnership with Washington on East Asia and the Asia Pacific, including partnership concerning development of the Russia’s Siberia and the Far East, while at the same time sustaining strategic partnership with China. This demands first and foremost a capability to overcome psychological and bureaucratic inertia both in Russia itself, and in the US.
The presented article describes evolution of the "awbash" term, which was used to determine specific groups of urban population in Iran and Central Asia. It has been confirmed that on particular stages of develpment of these groups, this term was a synonym for determination of the traditional masculine communities of luti (Iran) or ulufta (Mawara al-Nahr) in muslim cities of the Persianate world. Awbashi were deeply connected with giuld organisations and system of ward self-regulation, playing specific role in the strcuture of urban society.
Abstract Most studies have shown that when men have higher levels of education they are less likely to beat their wives. Some have also shown that consumption of alcohol tends to be a negative catalyst in provoking inebriated males to commit domestic violence against their intimate partners. Thus, understanding the likely causes and/or associated factors of intimate partner violence with ever more concentrated studies is imperative. Studies in the past have not examined four possible categories of husbands to determine a correlation to intimate partner violence: those that are educated and tend to be alcoholics, those that are educated and tend not to drink alcohol, less-educated individuals who tend to be alcoholics, or those that are less educated and tend to not to be alcoholics. Employing the Demographic and Health Survey data for Nigeria, Kyrgyzstan and Tajikistan, this study has shown the likelihood of each category of husband to perpetrate domestic violence on intimate female parnters in Nigeria, Kyrgyzstan and Tajikistan using the multivariate logistic regression at a 95% confidence interval. From the research it has been found that a husband’s educational level in and of itself offers no significant correlation to IPV perpetration in Kyrgyzstan and Tajikistan, whereas in Nigeria, educated men were a little more likely to perpetrate IPV compared to men with less education as seen in the following: AOR 1.14, CI 1.02- 1.27; p-value < 0.001. In all, alcoholic men were at least 3 times more likely to commit IPV than nonalcoholic men as suggested in the formula of: CI 3.08-5.56; p-value < 0.001. In Nigeria, men with little or no education, who lived in rural areas and were non-alcoholics were less likely to perpetrate IPV compared to their counterparts in urban areas as suggested by AOR 0.75, CI 0.61-0.93; p-value < 0.01, while alcoholic men with little or no education, who lived in rural areas, showed the strongest proclivity to beat their wives as suggested in AOR 4.37, CI 3.5-5.42; p-value < 0.001. Alcohol seems to outweight the effects of education as an instigator of domestic violence. Its introduction consistently increases the likelihood of IPV and strengthens its statistical significance across sites.
Keywords: Intimate partner violence; husband; education; alcohol; Nigeria; Kyrgyzstan; Tajikistan
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.
Interstate relationships in Central Asia are on the edge of crisis for decades. Therefore, here we see one of the examples of “Eurasia on the edge” concept. In this region of the Post-Soviet world the need for managing complexity is, probably, most acute. Below, I will first analyze from theoretical viewpoint combination of state weakness, interstate conflicts and failed intraregional cooperation in Central Asia. After that water and energy conflict between the states will be studied as a key determinant of interstate relations in Central Asia. I will first describe water and energy regime in Central Asia in the late Soviet period, then I will proceed with analysis of the energy and water issues after the dissolution of the USSR. I will depict the clash of national policies of the New Independent states of the region to overcome water-energy problem. This analysis will help us to understand the reasons of failed attempts to establish regional international water and energy regime.
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.