Assessing French departments’ spending efficiency over time
Kassoum Ayouba,
Marie-Line Duboz () and
Julie Le Gallo
Additional contact information
Marie-Line Duboz: CRESE - Centre de REcherches sur les Stratégies Economiques (UR 3190) - UFC - Université de Franche-Comté - UBFC - Université Bourgogne Franche-Comté [COMUE]
Post-Print from HAL
Abstract:
We analyse the way in which spending efficiency of French departments evolved from 2007 to 2019. We use the time-dependent conditional order-m approach , which allows to account for the heterogeneity among departments, characterized by contextual variables, and to evaluate the effect of these variables. The results reveal a continuous improvement in their performance (management of total expenditures) over time and show that departments have much more room for improvement in the management of investment expenditures than in the management of operating costs. Moreover, the time variable has a positive effect on performance (shape of the frontier and catch-up) for both the operating and the investment specific models.
Keywords: Efficiency; Local governments; Expenditures; Conditional model; Contextual variables; Efficacité; Collectivités locales; Dépenses; Modèle conditionnel; Variables contextuelles (search for similar items in EconPapers)
Date: 2023-02
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Published in Applied Economics, 2023, online, pp.1-26. ⟨10.1080/00036846.2023.2167925⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Assessing French departments’ spending efficiency over time (2023) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04166497
DOI: 10.1080/00036846.2023.2167925
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().