Belarus-Russia Relations After The Ukraine Conflict
Since the Russian-Ukrainian conflict began, the Kremlin has persistently tried to expand its control over Belarus, a process that has had quite the opposite effect as Belarusian government policy became more independent in 2014-2015.
There has always existed a paradox in the simultaneous contingence and estrangement in Belarusian-Russian relations.
Estrangement looks the stronger of the two today, evidenced by the decrease in Belarus’ military dependence on Russia and its refusal to allow the establishment of a Russian military base on its territory; the reduction in the Russian economy’s role in Belarus; discrepancies in the foreign policy and media spheres; and conflicts between the political elites of both countries.
These are some of the conclusions found in analytical paper Belarus-Russia Relations after the Ukraine Conflict released by the Ostrogorski Centre.
This paper analyzes Belarus energy system, relations between Belarus, Kazakhstan and Russia in the framework of the Customs Union and the Common Economic Space. The consequences of the recent political crisis in Ukraine will inevitably lead to the review of the relations between the European Union and Russia. In these new conditions, the members of the Common Economic Space of Belarus, Kazakhstan and Russia must develop a new concept of energy security. This new concept should allow to decrease substantially the influence of the export of hydrocarbons on the economic development of abovementioned countries, thus increasing the competitiveness of their national economies. As a first measure, the members of the Eurasian Union should create the single energy market
In 2004 the "Orange Revolution" put Ukraine back on Europe's mental map and the new government made entry into the EU a priority. But imperial-era preconceptions still influence foreign attitudes towards Ukraine and in Ukraine political independence from Russia is not matched by economic, cultural and psychological independence. Ukraine's pro-EU leaders not only face entrenched political rivals who maintain the institutional infrastructure of Russian language-use and promote pro-Russian nostalgia for the soviet past, they must deal with foreign business people whose activities keep Ukraine in the Russian-language communications sphere and politicians afraid of "fragmenting Russia". This book surveys the Ukrainian-EU relationship in light of the legacies of Russian rule. Its authors review and examine not only existing policies but also the long-term underlying interrelationships between national identities, loyalties, political/cultural orientations and political trends.
This is a review of issues and problems, including cross-border disputes, arising during customs examination and sampling in the Russian Federation and the European Union. The Customs Union of the Russian Federation, Republic of Kazakhstan, and the Republic of Belarus was formed in accordance with the Agreement of 6 October 2007. This article provides some concrete examples of cross-border disputes in comparison to similar problems that have arisen in the EU, particularly in the Netherlands. Based on this review, we will conclude with some suggestions to improve the handling of cross-border disputes arising from customs examinations and sampling.
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.