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Spatial patterns of unemployment in Central Europe: emerging development axes beyond the Blue Banana

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  • Pavlína Netrdová
  • Vojtěch Nosek

Abstract

In this paper, we focus on mapping and analysing the spatial patterns of unemployment in four Central European countries -- Austria, Czechia, Germany, and Poland, on municipal level in 2010. Specifically, based on the geo-social differentiation patterns, we are searching for secondary axes stretching from the Blue Banana (the major European economic development axis running from London to Milan) towards Eastern Europe. Unemployment is supposed to approximate economic development, thanks to its close relation to GDP and other economic indicators. To study spatial patterns and development axes on a micro scale, we use the concept of spatial autocorrelation, specifically Moran's I and LISA analysis. While we analyse more than 44,000 units, the resulting maps are very detailed and difficult to interpret on small scales. In this paper, we take advantage of the opportunity to present large-scale maps (1:2,500,000 and 1:6,000,000), which are also more suitable for the analytical conclusions that follow.

Suggested Citation

  • Pavlína Netrdová & Vojtěch Nosek, 2016. "Spatial patterns of unemployment in Central Europe: emerging development axes beyond the Blue Banana," Journal of Maps, Taylor & Francis Journals, vol. 12(4), pages 701-706, July.
    • Handle: RePEc:taf:tjomxx:v:12:y:2016:i:4:p:701-706
    DOI: 10.1080/17445647.2015.1063467
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    References listed on IDEAS

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    1. Lee, Jim, 2000. "The Robustness of Okun's Law: Evidence from OECD Countries," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 331-356, April.
    2. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
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    Cited by:

    1. George Grekousis & Stelios Gialis, 2019. "More Flexible Yet Less Developed? Spatio-Temporal Analysis of Labor Flexibilization and Gross Domestic Product in Crisis-Hit European Union Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 505-524, June.
    2. Petr Klusáček & Klára Charvátová & Josef Navrátil & Tomáš Krejčí & Stanislav Martinát, 2021. "Regeneration of Post-Agricultural Brownfield for Social Care Needs in Rural Community: Is There Any Transferable Experience?," IJERPH, MDPI, vol. 19(1), pages 1-18, December.
    3. George Grekousis, 2018. "Further Widening or Bridging the Gap? A Cross-Regional Study of Unemployment across the EU Amid Economic Crisis," Sustainability, MDPI, vol. 10(6), pages 1-18, May.
    4. Petr Klusáček & Petr Dvořák & Jakub Trojan, 2023. "Revitalising Rural Spaces: Lessons Learnt from Brownfield Regeneration in a Shrinking Region," Land, MDPI, vol. 13(1), pages 1-25, December.

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