Peripheral areas and their distinctive characteristics: The case of Hungary
The delimitation and classification of peripheral settlements using multivariate statistical methods is presented in this article, with a case study of Hungary. A combination of four different methods provided the basis for the delimitation of settlements defined as peripheral. As significant overla...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2021-09-01
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| Series: | Moravian Geographical Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/mgr-2021-0016 |
| _version_ | 1818738251113955328 |
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| author | Pénzes János Demeter Gábor |
| author_facet | Pénzes János Demeter Gábor |
| author_sort | Pénzes János |
| collection | DOAJ |
| description | The delimitation and classification of peripheral settlements using multivariate statistical methods is presented in this article, with a case study of Hungary. A combination of four different methods provided the basis for the delimitation of settlements defined as peripheral. As significant overlapping was detected between the results of the different methods, peripheries – more than one-fifth of the Hungarian settlements – were identified in a common set of the results. The independence of the results from the applied methods points to the fact that peripherisation is multi-faceted, and the peripheries of Hungary are stable and well-discernible from other regions. After the identification of peripheral areas, we classified these settlements into groups based on their specific features. Multiple steps specifying the relevant variables resulted in selecting the most appropriate 10 indicators and these served as the basis for a hierarchical cluster analysis, through which 7 clusters (types of peripheries) were identified. Five of them comprised enough cases to detect the most important dimensions and specific features of the backwardness of these groups. These clusters demonstrated a spatial pattern and their socioeconomic and infrastructural features highlighted considerable disparities. These differences should be taken into consideration when development policies are applied at regional levels or below. |
| first_indexed | 2024-12-18T01:05:58Z |
| format | Article |
| id | doaj.art-0ddcc8f92fb54071802c7a2f78c5527d |
| institution | Directory Open Access Journal |
| issn | 2199-6202 |
| language | English |
| last_indexed | 2024-12-18T01:05:58Z |
| publishDate | 2021-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Moravian Geographical Reports |
| spelling | doaj.art-0ddcc8f92fb54071802c7a2f78c5527d2022-12-21T21:26:14ZengSciendoMoravian Geographical Reports2199-62022021-09-0129321723010.2478/mgr-2021-0016Peripheral areas and their distinctive characteristics: The case of HungaryPénzes János0Demeter Gábor1University of Debrecen, Department of Social Geography and Regional Development Planning, Debrecen, HungaryInstitute of History, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, HungaryThe delimitation and classification of peripheral settlements using multivariate statistical methods is presented in this article, with a case study of Hungary. A combination of four different methods provided the basis for the delimitation of settlements defined as peripheral. As significant overlapping was detected between the results of the different methods, peripheries – more than one-fifth of the Hungarian settlements – were identified in a common set of the results. The independence of the results from the applied methods points to the fact that peripherisation is multi-faceted, and the peripheries of Hungary are stable and well-discernible from other regions. After the identification of peripheral areas, we classified these settlements into groups based on their specific features. Multiple steps specifying the relevant variables resulted in selecting the most appropriate 10 indicators and these served as the basis for a hierarchical cluster analysis, through which 7 clusters (types of peripheries) were identified. Five of them comprised enough cases to detect the most important dimensions and specific features of the backwardness of these groups. These clusters demonstrated a spatial pattern and their socioeconomic and infrastructural features highlighted considerable disparities. These differences should be taken into consideration when development policies are applied at regional levels or below.https://doi.org/10.2478/mgr-2021-0016core-periphery dichotomydemographic processesmultivariate statistical methodsperipheral areasperipherisationregional development planning |
| spellingShingle | Pénzes János Demeter Gábor Peripheral areas and their distinctive characteristics: The case of Hungary Moravian Geographical Reports core-periphery dichotomy demographic processes multivariate statistical methods peripheral areas peripherisation regional development planning |
| title | Peripheral areas and their distinctive characteristics: The case of Hungary |
| title_full | Peripheral areas and their distinctive characteristics: The case of Hungary |
| title_fullStr | Peripheral areas and their distinctive characteristics: The case of Hungary |
| title_full_unstemmed | Peripheral areas and their distinctive characteristics: The case of Hungary |
| title_short | Peripheral areas and their distinctive characteristics: The case of Hungary |
| title_sort | peripheral areas and their distinctive characteristics the case of hungary |
| topic | core-periphery dichotomy demographic processes multivariate statistical methods peripheral areas peripherisation regional development planning |
| url | https://doi.org/10.2478/mgr-2021-0016 |
| work_keys_str_mv | AT penzesjanos peripheralareasandtheirdistinctivecharacteristicsthecaseofhungary AT demetergabor peripheralareasandtheirdistinctivecharacteristicsthecaseofhungary |