Classification of Structurally Weak Rural Regions: Application of a Rural Development Index for Austria and Portugal
Barraí Hennebry
Faculty of Human Geography and Planning, Adam Mickiewicz UniversityPoznań, Poland
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und Tadeusz Stryjakiewicz
Faculty of Human Geography and Planning, Adam Mickiewicz UniversityPoznań, Poland
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11. Juni 2020
Über diesen Artikel
Online veröffentlicht: 11. Juni 2020
Seitenbereich: 5 - 14
Eingereicht: 26. März 2020
DOI: https://doi.org/10.2478/quageo-2020-0014
Schlüsselwörter
© 2020 Barraí Hennebry et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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Indicators used for the SSRR index_
| Indicator | Calculation | Source |
|---|---|---|
| GDP per capita (PPS) | No calculation needed | Eurostat |
| Employment rate | Number of persons employed | Eurostat |
| Population (15 to 64 years) | ||
| Net Business Creation | Births – Deaths of enterprises | Eurostat |
| Population (15 to 64 years) | ||
| Crude rate of net migration | No calculation needed | Eurostat |
The rural coordination game_
| Immobile invests locally | Immobile abstains from investing | |
|---|---|---|
| Mobile stays in rural region | Wr, Wr | |
| Mobile moves to urban region | Wu, 0 |
Descriptive statistics of SSRR index for Austria, 2008–2015_
| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|---|---|---|
| Minimum | 0.16 | 0.12 | 0.19 | 0.13 | 0.16 | 0.19 | 0.23 | 0.17 |
| Maximum | 0.80 | 0.81 | 0.79 | 0.74 | 0.83 | 0.80 | 0.67 | 0.59 |
| Mean | 0.42 | 0.35 | 0.42 | 0.39 | 0.42 | 0.48 | 0.44 | 0.41 |
| Standard deviation | 0.16 | 0.16 | 0.15 | 0.16 | 0.15 | 0.12 | 0.12 | 0.10 |
| Coefficient of variation | 38.09 | 45.71 | 35.71 | 41.02 | 35.71 | 25.00 | 27.27 | 24.39 |
Number and percentage of rural regions in each class for Portugal, 2008–2015
| Class | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |
|---|---|---|---|---|---|---|---|---|
| I – Structurally strong | 2 | 4 | 2 | 3 | 3 | 4 | 3 | 2 |
| II – Moderately strong | 5 | 3 | 6 | 4 | 5 | 3 | 6 | 7 |
| III – Moderately weak | 7 | 7 | 5 | 6 | 7 | 5 | 4 | 5 |
| IV – Structurally weak | 2 | 2 | 3 | 3 | 1 | 4 | 3 | 2 |
Number and percentage of rural regions in each class for Austria, 2008–2015_
| Class | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |
|---|---|---|---|---|---|---|---|---|
| I – Structurally strong | 4 | 5 | 5 | 4 | 4 | 3 | 4 | 3 |
| II – Moderately strong | 9 | 5 | 7 | 6 | 9 | 9 | 10 | 10 |
| III – Moderately weak | 6 | 10 | 7 | 10 | 7 | 8 | 5 | 7 |
| IV – Structurally weak | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 4 |
Descriptive statistics of SSRR index for Portugal, 2008–2015_
| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|---|---|---|
| Minimum | 0.14 | 0.36 | 0.34 | 0.22 | 0.10 | 0.13 | 0.24 | 0.12 |
| Maximum | 0.77 | 0.61 | 0.68 | 0.72 | 0.89 | 0.56 | 0.82 | 0.78 |
| Mean | 0.36 | 0.49 | 0.48 | 0.40 | 0.47 | 0.36 | 0.57 | 0.45 |
| Standard deviation | 0.16 | 0.07 | 0.10 | 0.14 | 0.20 | 0.14 | 0.16 | 0.17 |
| Coefficient of variation | 44.44 | 14.28 | 20.83 | 35.00 | 42.55 | 38.89 | 28.07 | 37.78 |