Border areas in Eastern Bavaria: Once structurally weak, always structurally weak?
| Autor: | Koch, Reinhold |
|---|---|
| Přispěvatelé: | Chilla, Tobias, Sielker, Franziska, ARL - Akademie für Raumentwicklung in der Leibniz-Gemeinschaft |
| Rok vydání: | 2022 |
| Předmět: |
Städtebau
Raumplanung Landschaftsgestaltung Landscaping and area planning Federal state development assisted areas border areas regions with a particular need for action structural weakness Raumplanung und Regionalforschung Area Development Planning Regional Research Landesplanung Grenzgebiet strukturschwache Region Fördergebiet Lebensbedingungen Beschäftigungsbedingungen Indikator Bayern Bundesrepublik Deutschland Landesentwicklungsplan Strukturförderung state planning border region underdeveloped region development area living conditions employment conditions indicator Bavaria Federal Republic of Germany Bundesland development plan structural promotion (economic) |
| Zdroj: | Cross-border spatial development in Bavaria: Dynamics in cooperation - Potentials of integration, 34, Arbeitsberichte der ARL, 108-126 |
| Druh dokumentu: | Sammelwerksbeitrag<br />collection article |
| Popis: | The aim of this paper is to determine whether since 2000 the areas along the border with the Czech Republic have developed in such a way that a location on the border is no longer practically synonymous with structural weakness or whether this is at least less pronounced than it was. Living and working conditions in Bavarian border areas have improved significantly since the turn of the millennium. By 2015 two of the eight districts had reached Bavarian standards. In the two border areas with the lowest rankings the economic situation and conditions on the labour market have also improved, more strongly than the federal average but not to the same extent as the Bavarian average. The analysis was carried out on the basis of a structural indicator, which was used to determine the regions with a particular need for action for the 2013 Bavarian Federal State Development Programme. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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