背景:在过去的二十年中,后共产主义国家的投票行为研究呈增长趋势。城市社会学理论家指出,不仅空间结构会影响政治参与,但空间结构也在全球的影响下发生变化,当地,和个人因素。信息在全球化世界中发挥的越来越大的作用加速了城市社会学的范式转变:从中心位置模型(基于城乡区分和单中心大都市地区)到网络社会(基于流动空间和多中心大都市地区)。然而,最近的研究主要集中在民主国家,而不是前共产主义国家。本研究旨在分析在罗马尼亚大都市区内可以设想新的空间结构的程度及其对社会资本政治层面的影响。
方法:Transilvania大学伦理委员会批准了这项研究(S1Aprouval)。这项研究基于个人和汇总的经验数据,从与布拉索夫都会区核心城市相邻的地区收集。个人数据已于2012年10月收集,使用口头调查技术(S1调查),基于标准化问卷(分层简单随机抽样,N=600)。国家统计局和选举登记册提供了每个地方的汇总数据。基于这些数据进行非变量和多变量分析(分层回归法)。
结果:城市化的一些维度,被确定为社会资本政治层面的预测因子,表明所分析的区域具有主要的单中心特征,农村与城市的区别仍然很重要。也有一些论点赞成城乡差距的瓦解和多中心空间结构的出现。在分析中,与信息消费有关的所有六个社会资本政治层面指标都存在一些影响,这表明存在新兴形式的流动空间。与运输基础设施相关的社会问题和移民经验对社会资本政治层面的影响,也支持流动空间的出现。
结论:我们建议,在前共产主义国家的城市研究中,城市主义的概念化作为社会资本的政治维度的预测应该同时考虑空间的物质维度,以及信息消费和迁移体验的维度。
BACKGROUND: The last two decades have seen a growing trend towards the research of voting behavior in post-communist countries. Urban sociology theorists state that not only space structures influence political participation, but also space structures are changing under the influence of global, local, and individual factors. The growing role played by information in the globalised world has accelerated the paradigm shift in urban sociology: from central place model (based on urban-rural distinction and on monocentric metropolitan areas) to network society (based on space of flows and polycentric metropolitan areas). However, recent studies have mainly focused on countries with solid democracies, rather than on former communist countries. The present
study aims to analyze the extent to which a new emerging spatial structure can be envisaged within a metropolitan area of Romania and its consequences for the political dimensions of social capital.
METHODS: The Transilvania University Ethics Commission approved this
study (S1 Aprouval). The research is based upon individual and aggregate empirical data, collected from the areas adjacent to the core city in Brașov metropolitan area. Individual data has been collected during October 2012, using the oral survey technique (S1 Survey), based on a standardized questionnaire (stratified simple random sample, N = 600). The National Institute of Statistics and the Electoral Register provided the aggregate data per locality. Unvaried and multivariate analyses (hierarchical regression method) were conducted based on these data.
RESULTS: Some dimensions of urbanism, identified as predictors of the political dimensions of social capital, suggest that the area under analysis has a predominantly monocentric character, where the rural-urban distinction continues to remain relevant. There are also arguments favoring the dissolution of the rural-urban distinction and the emergence of polycentric spatial structures. The presence of some influences related to the information consumption on all six indicators of the political dimensions of social capital under analysis suggests the occurrence of emerging forms of a space of flows. The identified effects of social problems associated with transport infrastructure and of migration experience on the political dimensions of social capital, also support the emergence of space of flows.
CONCLUSIONS: We recommend that, in the urban studies in former communist countries, conceptualization of urbanism as predictor of the political dimensions of social capital should consider both the material dimensions of space, as well as the dimensions of information consumption and migration experience.