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


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Título :
Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies
Autor :
Belmonte Martín, Irene
Ortiz Henarejos, Lidia
Polo Fernández, Cristina
Editor :
Elsevier
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2021
URI :
https://hdl.handle.net/11000/38283
Resumen :
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.
Palabras clave/Materias:
provincial tax agencies
local taxes
robust conditional efficiency
metafrontier
Área de conocimiento :
CDU: Ciencias puras y naturales: Matemáticas
CDU: Ciencias puras y naturales: Matemáticas: Análisis
CDU: Ciencias sociales: Demografía. Sociología. Estadística: Estadística
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1016/j.seps.2021.101057
Publicado en:
Socio-Economic Planning Sciences
Aparece en las colecciones:
Artículos - Estadística, Matemáticas e Informática



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.