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https://hdl.handle.net/11000/38283
Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies
Title: Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies |
Authors: Belmonte Martín, Irene Ortiz Henarejos, Lidia Polo Fernández, Cristina |
Editor: Elsevier |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2021 |
URI: https://hdl.handle.net/11000/38283 |
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.
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Keywords/Subjects: provincial tax agencies local taxes robust conditional efficiency metafrontier |
Knowledge area: CDU: Ciencias puras y naturales: Matemáticas CDU: Ciencias puras y naturales: Matemáticas: Análisis CDU: Ciencias sociales: Demografía. Sociología. Estadística: Estadística |
Type of document: info:eu-repo/semantics/article |
Access rights: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI: https://doi.org/10.1016/j.seps.2021.101057 |
Published in: Socio-Economic Planning Sciences |
Appears in Collections: Artículos - Estadística, Matemáticas e Informática
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