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EN
This article contributes to the discussion of the possibilities and limits of endogenous developmental potential in small rural communities in the Czech Republic. The article summarises some of the theoretical assumptions of developmental analyses of small rural communities, its development factors, and the current focus of contemporary Czech research. For many rural inhabitants their local community is the main space of everyday activity, and the development, stagnation, or decline of the community’s functions or changes in its socioeconomic and cultural characteristics significantly impact the inhabitants’ quality of life. However, searching for relevant developmental potential and, in particular, measuring the impact of such potential are complicated tasks because there is a lack of data for firm comparative analyses. This article aims to explore the internal structure of developmental potential and statistically measure its impact. Therefore, the author presents a model of local development consisting of structural and locality-based factors, endogenous developmental potential, and developmental indicators. The model is tested on a set of statistical data for individual small rural communities in the Czech Republic using factor analysis and multilevel modelling, where the regional data are used as independent variables on the second level. The empirical results confirm that it is possible to defi ne several distinct types of endogenous developmental potential and to identify their impact on development, which is rather weak. The relatively high intra-class correlation coefficients of some community characteristics indicate the existence of specific regional patterns of community capacity and development in small rural communities in the Czech Republic.
EN
The article discusses the role of the personal characteristics of candidates in municipal elections as important factors infl uencing the candidates’ election success. Voters lacking suffi cient or relevant information about the candidates and their political preferences can use knowledge of the candidates’ personal characteristics as specifi c cues or shortcuts in their choice. On the other hand, the candidates’ personal characteristics are the private resources they can use to infl uence the chance to getting elected. The article uses a logistic regression to analyse the impact of candidates’ personal characteristics on their electoral success in Czech municipal elections. A list of all candidates in the elections was used, including information about their sociodemographic and political characteristics and their election results. First examined is how a candidate’s ranking on the list of candidates can depend on his or her personal characteristics. Second, how a candidate’s election success can depend on his or her position on the list of candidates and on his or her personal characteristics is analysed. The list of candidates for the 2010 elections was combined with lists of candidates for several previous elections in order to investigate the infl uence of incumbency. The results suggest that incumbency is the dominant independent factor explaining the election success of individual candidates, yet other characteristics, such as sex, education, age or membership in political parties are important as well. In small municipalities, the situation differs in some aspects from that in cities.
EN
The development of the Czech countryside differs in many ways from trajectories typical for Eastern and Central European rural areas in the last 25 years. In our article, we discuss the nature of the ‘Czech exceptionalism’, with reference to three examples, namely population development, the dynamics of rural/agricultural labour markets and rural governance. Firstly, we describe the major driving forces behind rural development in Czechia over the past 25 years and how these forces are reflected in the academic discourse. Secondly, we argue that an important feature of rural regions in Czechia is their population growth combined with a rapid labour market transformation and a low social importance of agriculture. All these changes are interpreted as a shift towards multifunctionality of rural areas rather than as a general trend towards post-productivism; indeed, this is because large parts of rural areas remain economically based on industrial production. The ongoing transformations have been reflected only partially in an academic discourse. In conclusion, we argue that there is a need to re-examine the use of EEC as a concept framing the position of sociology in rural research.
EN
The article examines the integration process of Ukrainians and Vietnamese in the Czech Republic. The authors focus on socio-cultural integration, the pre- and post-migration factors integration depends on, and the differences in the integration process of the two communities. Using survey data they show that the integration process of each group follows a different trajectory and depends on different factors. Ukrainians tend to be more integrated than Vietnamese. The primary factor influencing the level of integration of Ukrainian migrants is the length of residence in the Czech Republic. Household composition and the residential preferences of Ukrainians play a secondary role. On average Vietnamese immigrants have resided longer in the Czech Republic, but the increasing length of residence has a much weaker effect on the level of socio-cultural integration of members of this community. The residential preferences of Vietnamese immigrants and especially the age at which they arrived in the Czech Republic are important factors in their integration. Those Vietnamese immigrants who arrived as children are significantly more integrated than those who arrived as adults. These results suggest that the socio-cultural integration of Vietnamese immigrants depends primarily on socialisation in the Czech Republic.
EN
Among the many factors that influence the voting behaviour of individual voters, various spatial characteristics have repeatedly been cited as important factors. The diverse impacts of spatial characteristics are collectively referred to as contextual effects. Contextual effects impact voters in different ways: through differences in the local geographical and socio-economic conditions, the varying influence of local communication interactions, observational influences, differences in local political socialisation and local campaigning, or through the effect of candidate residency. This article presents an overview of the most frequently discussed contextual effects and formulates a general typology of them.
EN
The aim of this article is to describe the personal networks of Ukrainian immigrants residing in an urban centre in the Czech Republic and to identify patterns that can help to elucidate some aspects of their integration. Social support networks in this study were created using the multiple name generator method. Here the generator was made up of six questions asking whom respondents might turn to for money, employment, housing, leisure, to discuss intimate things, or might simply be important to the respondent in some other way. Data-collecting was conducted in Pilsen, an industrial city with a large number of immigrants, and data were obtained from 30 Ukrainians. The networks were measured using structural measures (density, degree centrality and betweenness centrality) as well as common egocentric ones (multiplexity, frequency etc.). The analysis revealed that networks of Ukrainians are not very dense and consist mainly of friends. Friends are important in matters concerning housing, employment, and leisure. By contrast, family is important in more extraordinary situations – for instance, in a financial emergency or to discuss crucial issues. There is also a significant difference between the networks of manual and non-manual workers: manual workers are likely to associate with peers also working in manual labour and their networks are denser than the networks of non-manual workers. In Pilsen, Ukrainians do not form locality-based ethnic communities, and in a long-term perspective their personal networks indicate gradual social integration to the Czech society.
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EN
Migration research is an emerging field in the Czech Republic and data collection poses many methodological challenges. Some of the problems are universal for the research of other hard-to-reach populations. Other problems are, on the contrary, unique, applying only for the research of immigrants and could be country specific. This article focusses mainly on the quantitative research of immigrants where the issue of sampling problem is of major concern. The aim of the article is to address the issue of sampling immigrants in the context of the Czech Republic. In the first part of the article, there is a review of existing methodological approaches to researching immigrant populations. The focus here is on potential problems when applying particular methods in the Czech context. The second part of the article is dedicated to a review of four major Czech sample surveys of immigrants that are compared in terms of their methodology and basic results
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EN
The aim of the article is to describe the relations between institutions in the public, private and non-profit sectors that are considered the most important actors of negotiation and decision-making in local development. These institutions and the relations between them are defined as a social network. A study was carried out in the small Czech towns of Blatná, Český Krumlov and Velké Meziříčí, and data were collected in 2007 and 2008. The first part of the article describes the institutional actors, the collection of the relational data, and the context of the three towns that were studied. The analytical part consists of social network analysis. Basic quantitative characteristics are used to describe and compare the social networks of the institutional actors in the local development of the three towns. The conclusions indicate the unconditional significance of local public administration institutions and the significance of other local institutions; relations to extra-local institutions are rather weak. A section on methodology at the end of the article contains methodological notes on Hellinger divergence and SNA.
EN
Respondent-driven sampling (RDS) is a survey method used to create samples of populations that are hidden and hard to reach. Even though the method has been used since the 1990s in studies internationally, it has not yet been used in Czech research. The RDS methodology tends to be described presented as a statistical tool that makes it possible to produce unbiased estimates of hidden or hard-to-reach populations, and at the same as a tool with which to effectively recruit respondents from the given populations. The goal of the article is to introduce RDS methodology and its uses and to present and assess its application in a homeless survey conducted in two Czech cities – Prague (N=322) and Pilsen (N=146). We show that as long as certain preconditions are met the method proves to be fact and effective, especially with respect to the speed at which it is possible to sample the homeless population. We compare the outcome of the RDS survey with that of a survey of the homeless population in Prague (2010) and assess whether and how the outcomes of the two samples differ in certain population characteristics. Finally, we offer practical suggestions and observations on using the RDS method for sampling homeless populations.
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