This paper focuses on Belarus in order to find explanation as to why Alexander Lukashenko was able remain the authoritarian
leader of Belarus, while in Ukraine the position of the political elite had proved less stable and collapsed in 2004. We seek
to determine whether the internal factors (macroeconomic conditions, standard of living, the oppressive nature of the political
system) play a significant role in the operation of the domino effect. This article emphasises the determining role of immanent
internal factors, thus the political stability in Belarus can be explained by the role of the suppressing political regime,
the hindrance of democratic rights and the relatively good living conditions that followed the transformational recession.
Whilst in Ukraine, the markedly different circumstances brought forth the success of the Orange Revolution.
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We introduce an extension of the Esteban and Ray [Econometrica, 62:819–851 1994] measure of polarization that can be applied to density functions. As a by-product we also derive the Wolfson [Am. Econ.
Rev., 84:353–358 1994] measure as a special case. This derivation has the virtue of casting both measures in the context of a (statistically) unified
framework. We study the polarization of the distribution of household income for five OECD countries (LIS database): US, UK,
Canada, Germany and Sweden.
The present paper is essentially based on Esteban, Gradín and Ray [9], published as #218 in the working papers series of the Luxembourg Income Study. Changes have been kept to a minimum. We
have provided a brief reference to the literature on polarization measurement that has appeared since then and have updated
the data of our application. 相似文献
Summary. Census data are vital components of epidemiological studies, but the issues that are involved in using these data in such studies are often not fully appreciated. The paper describes some of the problems and uncertainties that arise, and some of the approaches that can be used to address them, based on experience in the Small Area Health Statistics Unit at Imperial College London. Issues considered include the geography of census data (zone design systems, recasting and the role of postcodes), temporal aspects of census data (especially in relation to migration and population change) and information content (especially in relation to characterization of socio-economic status). In the light of these issues, opportunities to improve the resolution and utility of census data for epidemiological studies are discussed. 相似文献
Clostridium perfringens is a pathogen that mainly causes food poisoning outbreaks when large quantities of food are prepared. Therefore, a model was developed to predict the effect of different cooling procedures on the growth of this pathogen during cooling of food: Dutch pea soup. First, a growth rate model based on interpretable parameters was used to predict growth during linear cooling of pea soup. Second, a temperature model for cooling pea soup was constructed by fitting the model to experimental data published earlier. This cooling model was used to estimate the effect of various cooling environments on average cooling times, taking into account the effect of stirring and product volume. The growth model systematically overestimated growth of C. perfringens during cooling in air, but this effect was limited to less than 0.5 log N/ml and this was considered to be acceptable for practical purposes. It was demonstrated that the growth model for C. perfringens combined with the cooling model for pea soup could be used to sufficiently predict growth of C. perfringens in different volume sizes of pea soup during cooling in air as well as the effect of stirring, different cooling temperatures, and various cooling environments on the growth of C. perfringens in pea soup. Although fine-tuning may be needed to eliminate inaccuracies, it was concluded that the combined model could be a useful tool for designing good manufacturing practices (GMP) procedures. 相似文献
Mining tailing dam ruptures are increasingly common events in South America. Due to their high potential degree for avoidance, they are considered to be technological disasters and often have a considerable impact on local populations and communities, as well as affecting the ecosystem. The failure of the Fundão dam in 2015 in the Brazilian State of Minas Gerais (is) considered one of the largest socioenvironmental disasters in the country's history. Different explanations for the causes of the disaster were put forward by various social actors. This article critically analyzes these discourses through the theoretical-methodological reference of the social theory of discourse, with the aim of understanding the various discursive contexts of the causes of the breach of the dam. The analysis and understanding of these explanatory matrices suggested that different discourses present different epistemological approaches to the causes of the disaster, related to aspects such as sociohistorical, political, ideological, and asymmetric relations of power. The statements had different emphases, being associated with distinct epistemic positions that were often not in convergence. Moreover, certain terms and approaches reinforce or minimize processes of vulnerability experienced by the affected populations. These discourses present consents, dissents, and contradictions and when systematically integrated can improve the planning of risk management and broaden the understanding related to technological disaster occurrence. 相似文献
This review essay discusses Bálint Magyar’s most recent book, Stubborn Structures: Conceptualizing Post-communist Regimes (Budapest: CEU Press 2019). Bálint Magyar first published in Hungarian in 2015 (published in English by CEU Press in 2016) a path-breaking book on The Post-Communist Mafia State: The Case of Hungary. This was the first major attempt to move beyond political controversies and offer a systematic critique of post-communist states. The book also went beyond the usual accusation of “corruption.” Magyar’s key point is that—at least in Hungary—a mafia style of “upper-world” was created, with a “godfather” at the top of it and an “adopted family” below it. This fascinating idea was followed by edited books that included contribution by other scholars. The latest such book is Magyar’s Stubborn Structures: Conceptualizing Post-communist Regimes (CEU Press 2019), which includes articles applying the “mafia state theory” to a great variety of post-communist countries.
VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Market orientation has been presented as an important predictor of business performance, and it is presumed to contribute... 相似文献
ABSTRACTThis article is about a research project focused on the development of a common knowledge base for social work education in the Netherlands. Recent substantial changes in society and social policy were the reason for a reconsideration of the educational content of social work education. A great urgency was established with regard to the adaptation of the study programs, including a higher level of knowledge. The aim of the project was to provide a knowledge base that creates a bridge between theory and practice and between social work practice and the societal context. The project started with an exploration of literature focusing on the significance of knowledge for professional practice and on existing classifications of the knowledge base in social work education. Subsequently a design-based empirical study was carried out using the Delphi-method. Experts agreed about the definition of the knowledge base and about the design requirements: practice-based, science-based, usable and sustainable. After an exploration of the content, a model was developed consisting of seven building blocks (BBs). The common knowledge base has been established by the Dutch Council of Schools of Social Work and is being used as the basis for the body of knowledge in all curricula of social work education in the Netherlands. 相似文献