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Regionale Wachstumseffekte der GRW-Förderung? Eine räumlich-ökonometrische Analyse auf Basis deutscher Arbeitsmarktregionen

Author

Listed:
  • Bjoern Alecke

    (GEFRA - Gesellschaft fuer Finanz- und Regionalanalysen)

  • Timo Mitze

    (RWI - Rheinisch-Westfälisches Institut für Wirtschaftsforschung)

  • Gerhard Untiedt

    (GEFRA - Gesellschaft fuer Finanz- und Regionalanalysen)

Abstract

Die vorliegende Arbeit analysiert den Einfluss der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GRW) auf das Produktivitätswachstum von 225 deutschen Arbeitsmarktregionen im Zeitraum 1994 bis 2006. Ausgangspunkt der Untersuchung ist eine „Barro-Type“-Schätzgleichung auf Basis wachstumsökonomischer Überlegungen. Besondere Aufmerksamkeit kommt dabei der Quantifizierung des Effekts der GRW als erklärende Variable zuteil. Hier zeigen die Schätzergebnisse für verschiedene Modellspezifikationen einen signifikant positiven direkten Einfluss der Förderung auf die Produktivitätsentwicklung für knapp zwei Drittel der geförderten Arbeitsmarktregionen. Um die Robustheit der Ergeb-nisse zu überprüfen, wird das klassische ökonometrische Modell schließlich um „räumliche“ Komponenten erweitert. Die Schätzung eines Spatial Lag Modells zeigt zunächst, dass für deutsche Arbeitsmarktregionen ein positiver räumlicher Wachstumsverbund zu beobachten ist, d.h. von einer stärker wachsenden Region gehen positive Spillovereffekte auf die Nach-barregionen aus. Wird darüber hinaus versucht, für räumliche Effekte der exogenen Variab-len zu kontrollieren, ergeben sich auf Basis eines Spatial Durbin und Spatial Durbin Error Modells negative Spillovereffekte der GRW-Förderung. Dieser Effekt bleibt dabei stabil, wenn räumliche Lags weiterer erklärender Variablen in die Schätzgleichung aufgenommen werden. Der negative indirekte Effekt der GRW-Förderung führt dazu, dass nur noch für knapp 45% der Fördergebiete mit niedrigem Ausgangseinkommen ein positiver Gesamtef-fekt auf das Produktivitätswachstum zu beobachten ist (etwa 73% des Einkommensniveaus der nicht-geförderten westdeutschen Arbeitsmarktregionen).

Suggested Citation

  • 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.
  • Handle: RePEc:gef:wpaper:5-2010
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    References listed on IDEAS

    as
    1. Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.),Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677, Elsevier.
    2. Harald Badinger & Thomas Url, 2002. "Determinants of regional unemployment: some evidence from Austria," Regional Studies, Taylor & Francis Journals, vol. 36(9), pages 977-988.
    3. Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias Türck, 2007. "Regionale Entwicklung mit und ohne räumliche Spillover-Effekte," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(1), pages 23-42, February.
    4. Philippe Aghion & Steven Durlauf (ed.), 2005. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 1, number 1.
    5. Marusca De Castris & Guido Pellegrini, 2008. "Identification Of The Spatial Effects Of Industrial Subsidies," Working Papers 0408, CREI Università degli Studi Roma Tre, revised 2008.
    6. Lammers, Konrad & Niebuhr, Annekatrin, 2002. "Erfolgskontrolle in der deutschen Regionalpolitik: Uberblick und Bewertung," Report Series 26089, Hamburg Institute of International Economics.
    7. Brambor, Thomas & Clark, William Roberts & Golder, Matt, 2006. "Understanding Interaction Models: Improving Empirical Analyses," Political Analysis, Cambridge University Press, vol. 14(1), pages 63-82, January.
    8. Gerhard Untiedt & Hans Joachim Schalk, 2000. "Regional investment incentives in Germany: Impacts on factor demand and growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 34(2), pages 173-195.
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    Cited by:

    1. Philipp Breidenbach & Timo Mitze & Christoph Schmidt, 2011. "Evaluating EU Regional Policy: Many Empirical Specifications, One (Unpleasant) Result," ERSA conference papers ersa11p1144, European Regional Science Association.
    2. K. Haaf & C.J.M. Kool, 2017. "Determinants of regional growth and convergence in Germany," Working Papers 17-12, Utrecht School of Economics.
    3. Jonathan Eberle & Thomas Brenner, 2016. "More bucks, more growth, more justice? The effects of regional structural funds on regional economic growth and convergence in Germany," Working Papers on Innovation and Space 2016-01, Philipps University Marburg, Department of Geography.
    4. Steffen Maretzke & Joachim Ragnitz & Gerhard Untiedt, 2019. "Betrachtung und Analyse von Regionalindikatoren zur Vorbereitung des GRW-Fördergebietes ab 2021 (Raumbeobachtung)," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83.

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    More about this item

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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