Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies

Irene Belmonte-Martin, Lidia Ortiz and Cristina Polo

Socio-Economic Planning Sciences, 2021, vol. 78, issue C

Abstract: This paper reports an efficiency analysis of local tax management by provincial tax agencies in Spain based on supramunicipal delegation. To conduct this study, we used the robust order-m conditional model that directly accounts for some socioeconomic environmental variables to estimate the efficiency scores. This is a key issue, as tax agencies do not have control over the context in which they operate, and this may have a severe impact on their performance. Our results suggest that several of the provincial contextual variables accounted for (the net property tax base, population density and inhabitants of the municipalities that have delegated management to the provincial tier of government) have a negative impact on efficiency, especially at higher variable value levels. Considering that the provincial tier of government can opt to set up specific self-governing agencies to perform these tasks, we also applied metafrontier analysis to assess their share in inefficiency. We concluded that the establishment of such self-governing agencies does not lead to higher efficiency levels.

Keywords: Provincial tax agencies; Local taxes; Robust conditional efficiency; Metafrontier (search for similar items in EconPapers)
JEL-codes: H20 H21 H71 H83 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012121000495
Full text for ScienceDirect subscribers only

Related works:
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:eee:soceps:v:78:y:2021:i:c:s0038012121000495

DOI: 10.1016/j.seps.2021.101057

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().