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Regionale Entwicklung mit und ohne räumliche Spillover Effekte

Author

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  • Eckey, Hans-Friedrich
  • Kosfeld, Reinhold
  • Türck, Matthias

Abstract

Der wirtschaftliche Entwicklungsstand von Regionen hängt nicht nur von ihrer eigenen Leistungsfähigkeit ab, sondern aufgrund räumlicher Überschwappeffekte auch von jener angrenzender Wirtschaftsräume. Positive Spillovers (Lieferverflechtungen, Nutzung der Infrastruktur in Nachbarregionen u. ä.) und negative Spillovers (z. B. Umwelteffekte) begründen eine wechselseitige Beeinflussung des Entwicklungsstands von Wirtschaftsräumen. Die räumlich-ökonometrische Analyse erlaubt eine Simulation von ökonomischen Größen mit und ohne Effekte angrenzender Gebiete. Hier sei die Arbeitsproduktivität betrachtet, die als Indikator für die Leistungsfähigkeit von Wirtschaftsräumen steht. Mit Hilfe von Eigenvektoren, die die Nachbarschaftseffekte wiedergeben, wird ein erheblicher Varianzanteil der Arbeitsproduktivität erklärt. Eine die Grenzen von Wirtschaftsräumen überschreitende netzwerkbasierte Regionalpolitik erscheint damit ökonomisch sinnvoll zu sein. Insbesondere Metropolen beeinflussen in hohem Maße die Arbeitsproduktivität im Umland. Einige ostdeutsche Regionen in Brandenburg und Sachsen würden ohne das schlechte wirtschaftliche Umfeld eine deutlich überdurchschnittliche Arbeitsproduktivität aufweisen. Andere Regionen, beispielsweise im Harz und in Mecklenburg-Vorpommern, sind aufgrund der dünnen Besiedlung sowohl mit als auch ohne Berücksichtigung von Nachbarschaftseffekten unattraktiv.

Suggested Citation

  • Eckey, Hans-Friedrich & Kosfeld, Reinhold & Türck, Matthias, 2005. "Regionale Entwicklung mit und ohne räumliche Spillover Effekte," Volkswirtschaftliche Diskussionsbeiträge 70, University of Kassel, Faculty of Economics and Management.
  • Handle: RePEc:zbw:kasvdb:70
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    3. Bjoern Alecke & Timo Mitze & Gerhard Untiedt, 2010. "Regionale Wachstumseffekte der GRW-Förderung? Eine räumlich-ökonometrische Analyse auf Basis deutscher Arbeitsmarktregionen," Working Papers 5-2010, GEFRA - Gesellschaft fuer Finanz- und Regionalanalysen.
    4. Jens K. Perret, 2019. "Regional Convergence in the Russian Federation: Spatial and Temporal Dynamics," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 11-39, March.
    5. Berlemann, Michael & Jahn, Vera, 2014. "Governance, Firm Size and Innovative Capacity: Regional Empirical Evidence for Germany," Working Paper 150/2014, Helmut Schmidt University, Hamburg.
    6. Timo Mitze, 2012. "Within and Between Panel Cointegration in the German Regional Output–Trade–FDI Nexus," Lecture Notes in Economics and Mathematical Systems, in: Empirical Modelling in Regional Science, edition 127, chapter 0, pages 191-215, Springer.
    7. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Landes," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 53, July.
    8. repec:zbw:rwirep:0222 is not listed on IDEAS
    9. Kubis, Alexander & Titze, Mirko & Ragnitz, Joachim, 2007. "Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?," IWH Discussion Papers 8/2007, Halle Institute for Economic Research (IWH).
    10. Robert Lehmann & Wolfgang Nagl, 2019. "Explaining spatial patterns of foreign employment in Germany," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 991-1003, July.
    11. Timo Mitze, 2010. "Within and Between Panel Cointegration in the German Regional Output-Trade-FDI Nexus," Ruhr Economic Papers 0222, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Eckey Hans-Friedrich & Türck Matthias & Kosfeld Reinhold, 2005. "Intra- und internationale Spillover-Effekte zwischen den EU-Regionen / Intra- and International Spillovers Across EU Regions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 600-621, December.
    13. Michael Berlemann & Vera Jahn, 2016. "Regional Importance of Mittelstand Firms and Innovation Performance," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1819-1833, November.
    14. Schmidt, André, 2007. "Per-se-Rule, Rule of Reason und der "more economic approach"," Volkswirtschaftliche Diskussionsbeiträge 92, University of Kassel, Faculty of Economics and Management.
    15. Stephan Brunow & Georg Hirte, 2009. "The age pattern of human capital and regional productivity: A spatial econometric study on german regions," Papers in Regional Science, Wiley Blackwell, vol. 88(4), pages 799-823, November.
    16. Jerger, Jürgen & Michaelis, Jochen, 2007. "Warum beobachten wir so wenig Arbeitnehmer-Gewinnbeteiligung?," Volkswirtschaftliche Diskussionsbeiträge 94, University of Kassel, Faculty of Economics and Management.
    17. Jan Kluge, 2012. "Der Traum von „gleichwertigen Lebensverhältnissen“," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(05), pages 05-17, October.

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    More about this item

    Keywords

    Agglomerationstheorie; räumliche Ökonometrie; räumliche Filterung; Agglomeration Theory; Spatial Econometrics; Spatial Filtering;
    All these keywords.

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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