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Abstract: Education is the main pillar of any society, both worldwide and in Romania. The paper analyzes the evolution of the educational system in the rural areas from the county of Argeș during the crisis period and also after the financial crisis. The study has been based on statistical evidence data and also on the data provided by the Ministry of Regional Development, European Funds and Public Administration. The analysis has been applied on 95 communes, which form rural area in the county of Argeș. In addition to the educational variables, the study also took into account social and economic indicators in order to obtain a greater veracity over the analysis. In the methodological approach the article uses the principal components analysis and the hierarchical ascendant classification analysis, taking into consideration the year of 2010 and the year of 2016. The analysis points to the fact that the villages close to Pitesti stands out, as these are more developed. They are followed closely by the category represented by the villages with an aging population, from where the majority of the young workforce has emigrated. Another category is represented by the villages which have their economy based on the primary sector, and the last category is the one containing the villages with a disadvantaged ethnic population.
Abstract: The existing inner socio-economic discrepancies are one of the major stumbling-blocks to the sustainable development of the Danube region and to the successful realization of its different macro-regional development programmes, strategies, and action plans. That is why it is of extreme importance to assess these discrepancies on a complex base, going beyond the analysis of single indicators. From that point of view, we suggest that sophisticated methodology and approach are needed, similar to those used to elaborate thorough European spatial development models. In order to measure the current socio-economic spatial development of the Danube regions on a complex basis, we apply author’s “Development and Prosperity Index” (DPI) calculated by using the latest available data for 8 key indicators. By contrast with the majority of the scientific studies that build their conclusions on NUTS0, or rarely on NUTS1 level analysis, our research is suited at NUTS2 level so that we can take a detailed picture of the situation in the Danube region. Another significant difference from the mainstream studies is that we concentrate predominantly on the Danube-adjacent NUTS2 regions, but not on the whole area (as defined in the EU Danube Region Strategy). That approach provides us with an opportunity to divide the study in two important stages. Firstly, we make a comparative analysis and a classification of the Danube-adjacent NUTS2 regions providing empirical evidence for the significant complex socio-economic discrepancies between them. Secondly, in a view to estimate the development role of Danube in different countries, we confront the DPI results for Danube-adjacent NUTS2 regions against those for the other regions in a given country. Although this approach is characterized with certain conditionality considering that development is a function of many diverse factors, the results of the study provide solid ground for building up adequate future policies.
Abstract: This paper firstly gives a general outline about the features of various spaces. Time spaces and cost spaces have non-metric characteristics, moreover, time spaces and cost spaces are not continuous. Therefore, topographic maps are not always an appropriate basis for cognitive information processing, the everyday behaviour and the study of spatial relationships. The paper demonstrates the differences between geographical space and time-spaces at two different scales, such as the road network time-space of Hungary and a district of the capital city Budapest. With the first example the rapidly changing Hungarian time-space during the last two decades can be vividly demonstrated, thanks to new motorway construction. The second example compares different types of space, as for example the difference between the time- space of a pedestrian and a vehicle.
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