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

Author

Listed:
  • Alecke, Björn
  • Mitze, Timo
  • Untiedt, Gerhard

Abstract

Die Gemeinschaftsaufgabe Verbesserung der regionalen Wirtschaftsstruktur (GRW) ist das zentrale wirtschaftspolitische Instrument zur Förderung entwicklungsschwacher Regionen in Deutschland seit Ende der 1960er Jahre. Seit der deutschen Wiedervereinigung kommt es zudem flächendeckend in den neuen Bundesländern zur Förderung der privaten Investitionstätigkeit und wirtschaftsnahen Infrastruktur zum Einsatz. In dieser Untersuchung wird der Einfluss der GRW-Förderung auf das Produktivitätswachstum der 225 deutschen Arbeitsmarktregionen im Zeitraum von 1994 bis 2006 empirisch untersucht. Ausgangspunkt ist eine neoklassisch motivierte Konvergenzgleichung. Die Schätzergebnisse zeigen für verschiedene Modellspezifikationen einen signifikant positiven Einfluss der Förderung auf das Produktivitätswachstum der geförderten Arbeitsmarktregionen. Es wird gezeigt, dass sich die Konvergenzgeschwindigkeit für Regionen deutlich unterhalb ihres steady state nahezu verdoppelt. Um die Robustheit der Ergebnisse zu überprüfen, wird das klassische ökonometrische Modell schließlich um räumliche Komponenten erweitert. Sowohl für das Spatial Durbin- und auch das Spatial Durbin Error-Modell ergeben sich negative Spillovereffekte der GRWFörderung. Dieser indirekte Effekt bleibt stabil, wenn räumliche Lags weiterer erklärender Variablen in die Schätzgleichung aufgenommen werden. Er kann u.a. damit erklärt werden, dass die geförderte Region im Standortvergleich attraktiver wird und somit - wie politisch gewollt - Investitionen aus anderen Regionen abzieht. Im Resultat führen die negativen räumlichen Spillover-Effekte zu einer Verlangsamung der Konvergenzgeschwindigkeit, allerdings bleibt der Gesamteffekt der GRW-Förderung weiterhin positiv.

Suggested Citation

  • Alecke, Björn & Mitze, Timo & Untiedt, Gerhard, 2011. "Regionale Wachstumseffekte der GRW-Förderung? Eine räumlich-ökonometrische Analyse auf Basis deutscher Arbeitsmarktregionen," RWI Materialien 65, RWI - Leibniz-Institut für Wirtschaftsforschung.
  • Handle: RePEc:zbw:rwimat:65
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    References listed on IDEAS

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    Cited by:

    1. K. Haaf & C.J.M. Kool, 2017. "Determinants of regional growth and convergence in Germany," Working Papers 17-12, Utrecht School of Economics.
    2. 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.
    3. 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.
    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, February.

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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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