1000 resultados para Polatsk Region (Belarus)
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Mode of access: Internet.
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This layer is a georeferenced raster image of the historic paper map entitled: Deutschland und der gröste Theil der umliegenden Staaten : oder Mittel-Europa in 35 Blättern : nach astronomischen Ortsbestimmungen und den besten Special-Karten, mit Rücksicht auf die neuesten Grenz-Bestimmungen entworfen, zufolge der Wiener Congress-Akte, des Pariser Friedens vom 21ten Nov. 1815, und der neuesten Austauschungen 1816, von H.H. Gotthold ; geschrieben und gestochen von H. Kliewer ; sämtliche Gebürge im Atlas sind gezeichnet und gestochen von Paulus Schmidt, so wie auch die Sectionen 3,11,16,18,19,21,25,26,31 von demselben gestochen worden. It was published by Simon Schropp & Co., ca. 1816. Scale [ca. 1:1,100,000]. Covers the Central Europe region. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, roads, ground cover, territorial boundaries, shoreline features, and more. Relief shown by hachures. Depths shown by shading. Includes also inset index map.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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Belarus holds a special position in Russian policy due to its geopolitical, military and transit significance. Russia's influence and position in the entire Eastern European region largely depend on how strong Russian influence in Belarus is. The process of Russian-Belarusian integration began in 1994, when Alyaksandr Lukashenka came to power in Minsk. At the time, Russia's policy towards Belarus was based on twomain assumptions. Firstly, the Kremlin supported Lukashenka's authoritarian regime. This allowed Russia to keep Belarus within its orbit of political influence and prevent other states from getting involved, since an undemocratic Belarus could not count on closer contacts with the West. Secondly, Russia heavily subsidised Belarus with cheap energy resources (way below the market price) and allowed the duty-free access of Belarusian goods to its market. Thus Belarus became a kind of 'sponsored authoritarianism' with a specific economic model, owing its existence to Russia's economic and political support. At the same time, Moscow's key objective in its policy towards Belarus was to make Minsk accept the Russian conditions concerning integration, which would in fact lead to Belarus' incorporation by the Russian Federation. However, Belarus managed to maintain its sovereignty, while Alyaksandr Lukashenka bandied the term 'integration' about in order to maintain the preferential model of his state's relations with Russia. Russia's intention to alter the nature of these bilateral relations became evident when Vladimir Putin took power in 2000. However, Moscow faced Minsk's refusal to accept the Russian integration plan (which, among other measures, provided for the takeover of Belarusian economic assets by Russian companies). This forced Russia to use its main tool against Minsk: the supplies of cheap gas and oil that had been sustaining Belarus' archaic economy. The most serious crisis in Russian-Belarusian relations broke out at the beginning of 2007, following Moscow's decision to raise the energy resource prices. This decision marked the beginning of the application of market principles to settlements between Moscow and Minsk. The key question this study is meant to answer concerns the consequences of the aforementioned decision by Russia for future Russian-Belarusian relations. Are they at a turning point? What are Russia's policy objectives? What results can come from the process of moving mutual relations onto an economic footing? What policy will replace Russia's 'sponsoring of Belarusian authoritarianism', which it has been implementing since 1994? Finally, what further measures will Russia undertake towards Belarus? The current study consists of five chapters. The first chapter offers a brief presentation of Belarus' significance and position in Russian policy. The second analyses the development of Russian-Belarusian political relations, first of all the establishment of the Union State, Belarus' position in Russian domestic policy and Russia's influence on Belarusian policy. The third chapter presents bilateral economic relations, primarily energy issues. The fourth chapter describes the state and perspectives of military cooperation between the two states. The fifth chapter presents conclusions, where the author attempts to define the essence of the ongoing re-evaluation in Russian-Belarusian relations and to project their future model.
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The countries of Eastern European and China have been increasingly interested in deepening bilateral contacts over the past few years. In the case of Ukraine, Belarus and Moldova this has been caused by the bad economic situation which was in part caused by the consequences of the global economic crisis of 2008 and the desire to establish closer political relations with a country whose significance on the international arena is continually growing. Each of these countries has different expectations regarding the scale and the nature of co-operation with China. Chisinau wishes only to boost trade, whereas in Minsk and Kyiv, Beijing is also presented as a strategic partner whose investments may not only help the indebted economies recover but also strengthen the position of these countries in their dealings with the EU, and especially with Russia. Beijing sees co-operation with these countries in differently, and its offer is much more modest than Belarus and Ukraine are expecting. Eastern Europe is one of the last parts of the world with which China is activating its co-operation. This is not a priority region for Beijing. China wants to derive economic benefits and to diversify the markets on which it invests its financial surplus, and it does not intend to extend its political dialogue with Ukraine, Belarus and Moldova beyond the framework which determines its economic interests. The main reason for this is the nature of relations between Russia and China. Beijing sees its partnership with Moscow as more beneficial, and will not offer these countries support in their relations with Russia since in its opinion they belong to Russia’s sphere of influence. Minsk and Kyiv are pinning too much hope on their co-operation with Beijing, while China offers no real counterbalance to the Russian and EU influences in these countries. Nevertheless, it should be expected that China will capitalise on the beneficial political climate in Ukraine, Belarus and Moldova to reinforce its influence in a region whose location will facilitate its expansion to the EU and the Customs Union markets. In the medium term, Beijing may become a major economic player in Eastern Europe. In a decade’s time this may translate into political influence. Meanwhile, in the short term, China’s financial engagement in Ukraine, Belarus and Moldova will contribute to increasing the debts and deepening the foreign trade deficits of these countries.
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This paper considers the implementation of the European Neighbourhood Policy (ENP) in Ukraine, Moldova and Belarus. The paper presents a portrait of the three neighbours in terms of their current political and socio-economic profiles, as well as the status of their relations with the European Union. Subsequently, it provides an overview of the development of ENP. A general set of conclusions are offered in relation to the key issue of good governance, where, the paper argues, ENP has delivered derisory results, with patchy effects across the region. Moreover, the paper identifies the democratic back-sliding in Ukraine and entenched authoritarianism in Belarus, which ENP has done very little to address. The EU’s willingness to provide better mobility options for ENP citizens to visit and work in the EU is a key test for the Eastern Partnership (EaP) in the coming year. This paper sees that whilst there are reasons to be cheerful here, with the EU’s recent offer of greater Visa Liberalisation for Ukraine and Moldova, there remains much to be done and in the meantime the EU remains a ‘Fortress Europe’. The paper concludes with a set of recommendations for ENP, which include the need to finally tackle corruption in the region, bring more differentiation into ENP, soften the EU’s borders through more generous Visa regimes, develop a more robust Belarus strategy and to think more creatively about the use of ENP funds for regional and cross- border activities.
Public Service Motivation in Public and Nonprofit Service Providers: The Cases of Belarus and Poland
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The work motivation construct is central to the theory and practice of many social science disciplines. Yet, due to the novelty of validated measures appropriate for a deep cross-national comparison, studies that contrast different administrative regimes remain scarce. This study represents an initial empirical effort to validate the Public Service Motivation (PSM) instrument proposed by Kim and colleagues (2013) in a previously unstudied context. The two former communist countries analyzed in this dissertation—Belarus and Poland— followed diametrically opposite development strategies: a fully decentralized administrative regime in Poland and a highly centralized regime in Belarus. The employees (n = 677) of public and nonprofit organizations in the border regions of Podlaskie Wojewodstwo (Poland) and Hrodna Voblasc (Belarus) are the subjects of study. Confirmatory factor analysis revealed three dimensions of public service motivation in the two regions: compassion, self-sacrifice, and attraction to public service. The statistical models tested in this dissertation suggest that nonprofit sector employees exhibit higher levels of PSM than their public sector counterparts. Nonprofit sector employees also reveal a similar set of values and work attitudes across the countries. Thus, the study concludes that in terms of PSM, employees of nonprofit organizations constitute a homogenous group that exists atop the administrative regimes. However, the findings propose significant differences between public sector agencies across the two countries. Contrary to expectations, data suggest that organization centralization in Poland is equal to—or for some items even higher than—that of Belarus. We can conclude that the absence of administrative decentralization of service provision in a country does not necessarily undermine decentralized practices within organizations. Further analysis reveals strong correlations between organization centralization and PSM for the Polish sample. Meanwhile, in Belarus, correlations between organization centralization items and PSM are weak and mostly insignificant. The analysis indicates other factors beyond organization centralization that significantly impact PSM in both sectors. PSM of the employees in the studied region is highly correlated with their participation in religious practices, political parties, or labor unions as well as location of their organization in a capital and type of social service provided.
Public service motivation in public and nonprofit service providers: The cases of Belarus and Poland
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The work motivation construct is central to the theory and practice of many social science disciplines. Yet, due to the novelty of validated measures appropriate for a deep cross-national comparison, studies that contrast different administrative regimes remain scarce. This study represents an initial empirical effort to validate the Public Service Motivation (PSM) instrument proposed by Kim and colleagues (2013) in a previously unstudied context. The two former communist countries analyzed in this dissertation—Belarus and Poland—followed diametrically opposite development strategies: a fully decentralized administrative regime in Poland and a highly centralized regime in Belarus. The employees (n = 677) of public and nonprofit organizations in the border regions of Podlaskie Wojewodstwo (Poland) and Hrodna Voblasc (Belarus) are the subjects of study. ^ Confirmatory factor analysis revealed three dimensions of public service motivation in the two regions: compassion, self-sacrifice, and attraction to public service. The statistical models tested in this dissertation suggest that nonprofit sector employees exhibit higher levels of PSM than their public sector counterparts. Nonprofit sector employees also reveal a similar set of values and work attitudes across the countries. Thus, the study concludes that in terms of PSM, employees of nonprofit organizations constitute a homogenous group that exists atop the administrative regimes. ^ However, the findings propose significant differences between public sector agencies across the two countries. Contrary to expectations, data suggest that organization centralization in Poland is equal to—or for some items even higher than—that of Belarus. We can conclude that the absence of administrative decentralization of service provision in a country does not necessarily undermine decentralized practices within organizations. Further analysis reveals strong correlations between organization centralization and PSM for the Polish sample. Meanwhile, in Belarus, correlations between organization centralization items and PSM are weak and mostly insignificant. ^ The analysis indicates other factors beyond organization centralization that significantly impact PSM in both sectors. PSM of the employees in the studied region is highly correlated with their participation in religious practices, political parties, or labor unions as well as location of their organization in a capital and type of social service provided.^
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In this study we examined the impact of weather variability and tides on the transmission of Barmah Forest virus (BFV) disease and developed a weather-based forecasting model for BFV disease in the Gladstone region, Australia. We used seasonal autoregressive integrated moving-average (SARIMA) models to determine the contribution of weather variables to BFV transmission after the time-series data of response and explanatory variables were made stationary through seasonal differencing. We obtained data on the monthly counts of BFV cases, weather variables (e.g., mean minimum and maximum temperature, total rainfall, and mean relative humidity), high and low tides, and the population size in the Gladstone region between January 1992 and December 2001 from the Queensland Department of Health, Australian Bureau of Meteorology, Queensland Department of Transport, and Australian Bureau of Statistics, respectively. The SARIMA model shows that the 5-month moving average of minimum temperature (β = 0.15, p-value < 0.001) was statistically significantly and positively associated with BFV disease, whereas high tide in the current month (β = −1.03, p-value = 0.04) was statistically significantly and inversely associated with it. However, no significant association was found for other variables. These results may be applied to forecast the occurrence of BFV disease and to use public health resources in BFV control and prevention.
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In the region of self-organized criticality (SOC) interdependency between multi-agent system components exists and slight changes in near-neighbor interactions can break the balance of equally poised options leading to transitions in system order. In this region, frequency of events of differing magnitudes exhibits a power law distribution. The aim of this paper was to investigate whether a power law distribution characterized attacker-defender interactions in team sports. For this purpose we observed attacker and defender in a dyadic sub-phase of rugby union near the try line. Videogrammetry was used to capture players’ motion over time as player locations were digitized. Power laws were calculated for the rate of change of players’ relative position. Data revealed that three emergent patterns from dyadic system interactions (i.e., try; unsuccessful tackle; effective tackle) displayed a power law distribution. Results suggested that pattern forming dynamics dyads in rugby union exhibited SOC. It was concluded that rugby union dyads evolve in SOC regions suggesting that players’ decisions and actions are governed by local interactions rules.