IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v58y2024i6p1356-1373.html
   My bibliography  Save this article

Fiscal policy, public investment and structural change: a P-SVAR analysis on Italian regions

Author

Listed:
  • Francesco Zezza
  • Dario Guarascio

Abstract

This study analyses the regional impact of public expenditures focusing on three domains central to the Italian National Recovery and Resilience Plan (NRRP): green, digital and knowledge. Relying on a regional public expenditures sectoral dataset for the period 2000–19, we perform a panel structural vector autoregressive (P-SVAR) model showing that fiscal policy has positive and long-lasting effects on gross domestic product (GDP) and private investments. A relevant heterogeneity is detected, relative to: (1) the effects of sectoral spending in crowding-in investment; (2) the impact on regions’ ‘structural upgrading’; and (3) a discrepancy in fiscal multipliers across macro-areas. Nevertheless, the results suggest that the NRRP may help in reducing the Italian divide.

Suggested Citation

  • Francesco Zezza & Dario Guarascio, 2024. "Fiscal policy, public investment and structural change: a P-SVAR analysis on Italian regions," Regional Studies, Taylor & Francis Journals, vol. 58(6), pages 1356-1373, June.
    • Handle: RePEc:taf:regstd:v:58:y:2024:i:6:p:1356-1373
    DOI: 10.1080/00343404.2023.2251533
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2023.2251533
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2023.2251533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:regstd:v:58:y:2024:i:6:p:1356-1373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRES20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.