IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Effects of Electoral Rules, Political Competition and Corruption on the Size and Composition of Government Consumption Spending: An Italian Regional Analysis

  • Baraldi A. Laura


    (Second University of Naples)

This paper analyses how proportionality of the electoral system, political competition and corruption affect the total amount of Italian regional public consumption expenditure and alter the public budget structure. The Italian case is particular: from 1993 the country underwent a change in the electoral system (from proportional to majoritarian) and, at the same time, a campaign was waged against the corruption of public bureaucrats. The aim of this work is to study the political determinants of public consumption spending, and more specifically the role played by political institutions (meaning electoral rules), the intensity of political competition in the "votes' market" and the corruption of public bureaucracy. We used panel data for 20 Italian regions from 1980 to 2003 in order to estimate a quantity effect and an allocation effect of the degree of proportionality of the electoral system, political competition and corruption of public bureaucracy on public consumption spending. The quantity effect of the proportionality of the electoral system and of the degree of political competition is positive; the same holds for corruption, meaning that corruption increases the total level of public spending. Analysis of the allocation effect shows that corruption, rather than the electoral system and political competition, alters the public budget structure towards social services and securities and general service sectors instead of education and health, leading to important policy implications.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by De Gruyter in its journal The B.E. Journal of Economic Analysis & Policy.

Volume (Year): 8 (2008)
Issue (Month): 1 (July)
Pages: 1-37

in new window

Handle: RePEc:bpj:bejeap:v:8:y:2008:i:1:n:24
Contact details of provider: Web page:

Order Information: Web:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bpj:bejeap:v:8:y:2008:i:1:n:24. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.