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Zum Risiko einer Staatsschuldenkrise in Italien

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  • Holtemöller, Oliver
  • Knedlik, Tobias
  • Lindner, Axel

Abstract

Die wirtschaftliche Entwicklung Italiens war in den vergangenen Jahren durch eine ausgesprochen schwache Produktivitätsentwicklung gekennzeichnet. Das Bruttoinlandsprodukt je Einwohner beträgt nur 92% des Niveaus im Jahr 2007, während es im Euroraum insgesamt (inklusive Italien) bei 103% des Vorkrisenniveaus von 2007 liegt. Die Staatsschuldenquote ist im Zeitraum von 2007 bis 2017 von 100% in Relation zum Bruttoinlandsprodukt um 30 Prozentpunkte auf 130% gestiegen. Es bestehen daher Zweifel, ob die Wirtschaftskraft Italiens ausreichend ist, um die weiter steigenden Staatsschulden künftig bedienen zu können. Diese Zweifel kommen zum Beispiel in der gegenwärtig (August 2018) um gut 3 Prozentpunkte höheren Umlaufsrendite 10-jähriger italienischer Staatsanleihen im Vergleich zu deutschen Staatsanleihen zum Ausdruck. Die Regierung Italiens will der Wirtschaft durch expansive Finanzpolitik wieder auf die Beine helfen. Im vorliegenden Beitrag wird die Tragfähigkeit der italienischen Staatsverschuldung für verschiedene Szenarien analysiert. Dabei gibt es je nach den getroffenen Annahmen zu wichtigen Wirkungszusammenhängen eine ganze Bandbreite von möglichen Entwicklungen, die aber allesamt eine deutlich expansive Finanzpolitik für Italien nicht ratsam erscheinen lassen, weil sie insgesamt nicht förderlich für die Stabilisierung der Staatsverschuldung wäre. Vielmehr sollten produktivitätssteigernde Strukturreformen umgesetzt werden, die dann auch moderat höhere Staatsausgaben erlauben würden.

Suggested Citation

  • Holtemöller, Oliver & Knedlik, Tobias & Lindner, Axel, 2018. "Zum Risiko einer Staatsschuldenkrise in Italien," IWH Online 4/2018, Halle Institute for Economic Research (IWH).
    • Handle: RePEc:zbw:iwhonl:42018
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    References listed on IDEAS

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    1. Fernando Broner & Daragh Clancy & Aitor Erce & Alberto Martin, 2022. "Fiscal Multipliers and Foreign Holdings of Public Debt [When Should You Adjust Standard Errors for Clustering?]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(3), pages 1155-1204.
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