Biased Budgeting in the Public Sector
Evidence from Italian Local Governments
Bibliographic Data
| ID | 6302553 |
|---|---|
| Authors | Eugenio Anessi-Pessina (0000-0002-4660-5457, Università Cattolica del Sacro Cuore), Mariafrancesca Sicilia (0000-0001-9186-5496, University of Bergamo) |
| Year | 2015 |
| Volume | 41 |
| Issue | 6 |
| Pages | 819-840 |
| Publication date | 2015-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Local Government Studies (JOURNAL) |
| Journal identifiers | ISSN: 0300-3930 • E-ISSN: 1743-9388 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03003930.2015.1012194 |
| OpenAlex | W2063937068 |
| Language | EN |
| Citations received | 13 |
| References cited | 41 |
The purpose of this paper is to analyse, in terms of presence, determinants and purposes, the misrepresentation of expected revenues during budget formulation and the misrepresentation of actual revenues during budget execution. To this end, we use six-year panel data from Italian municipalities with populations above 15,000. Our results suggest that overestimations of current revenues are more frequent than underestimations, during both budget formulation and budget execution. In terms of determinants, our results highlight the impact on revenue misrepresentation of both political orientation and fiscal stress. Finally, in terms of purposes, we show that revenue underestimation during budget formulation and revenue overestimation during budget execution may contribute to the formation of surpluses. The former, in particular, may allow mayors to create a ‘war chest’ in non-election years, which can then be used to increase net borrowing on the eve of elections
Business · Economics · Misrepresentation · Monetary economics · Political science · Politics · Public economics · Revenue · Fiscal Policies and Political Economy · Fiscal Policy and Economic Growth · Local Government Finance and Decentralization · Finance
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| Unique citing works | 13 |
|---|---|
| Citations per year | 1,3 |
| Citation span | 2016 - 2025 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |