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An empirical analysis of the impact of administrative intensity on the operational efficiency of the Victoria state local government system in Australia

Datos Bibliográficos

ID6302570
AutoresCarolyn-Thi Thanh Dung Tran (0000-0002-5798-0543, University of New England, autor de correspondencia), Brian Dollery (0000-0003-2760-865X, University of New England)
Año2023
Volumen49
Número3
Páginas544-567
Fecha de publicación2023-05-04
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaLocal Government Studies (JOURNAL)
Identificadores de la revistaISSN: 0300-3930 • E-ISSN: 1743-9388
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03003930.2021.2023015
OpenAlexW4206189755
IdiomaEN
Citas recibidas1
Referencias citadas76

While a voluminous empirical literature has investigated municipal efficiency, much less attention has focused on the impact of administrative intensity on municipal performance. In this paper we seek to contribute to the empirical literature by examining the relationship between operational efficiency and administrative intensity in the Victorian local government system over the period 2014/15 to 2018/19 using a second stage bootstrapping Data Envelopment Analysis fractional regression model. We find that administrative intensity negatively affects the performance of local councils for the bias-corrected efficiency model. Moreover, administrative intensity exhibits a U-shaped relationship with municipal efficiency. We also find that administrative intensity has a differential impact on the efficiency of rural councils in contrast to urban councils. Various public policy implications are considered

Bootstrapping (finance · Business · Data envelopment analysis · Econometrics · Economics · Empirical evidence · Government (linguistics · Intensity (physics · Local government · Political science · Public economics · State (computer science · Statistics · Computer Science · Economic and Environmental Valuation · Efficiency Analysis Using DEA · Fiscal Policy and Economic Growth · Mathematics · Public Administration

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Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
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