Governance and Efficiency in Brazilian Water Utilities: An Analysis Based on Revenue Collection Efficiency

This study analyzed the relevance of governance structure for efficient revenue collection by Brazilian water utilities (WUs). Data were collected from the National Information System on Sanitation (SNIS) for 127 Brazilian WUs, covering a balanced longitudinal panel from 2018 to 2022. The governance structures evaluated included ownership (public or private) and corporatization (publicly traded or not). We searched scientific databases and did not find any studies on the efficiency of specific WUs in collecting customer bills for services rendered and its relationship with this type of governance; thus, this is the main innovative contribution of this study to the literature. In the first stage, this study utilized the dynamic slack-based model (DSBM) to assess revenue collection efficiency. In the second stage, an econometric model with generalized estimating equation (GEE) was used to explain the efficiency. The findings revealed a global average inefficiency in revenue collection of 50.47%. Corporatization was linked to higher collection efficiencies, while ownership type was significantly linked with lower collection efficiency. Factors such as tariff accessibility, urbanization, and the COVID-19 pandemic also influenced efficiency. This study suggests that regulatory bodies should consider these insights to implement policies that prevent inefficiencies from affecting the tariff system for services.

Authors

Institutions

Publication Details

Journal
Water
Published
2024-08-31
DOI
https://doi.org/10.3390/w16172483
Citations
1
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Governance and Efficiency in Brazilian Water Utilities: An Analysis Based on Revenue Collection Efficiency

Pedro Simões, Alexandro Barbosa, Felipe Anderson Smith de Medeiros
1 citations
Water
Water resources management and optimization
0.34
article

Governance and Efficiency in Brazilian Water Utilities: An Analysis Based on Revenue Collection Efficiency

Pedro Simões, Alexandro Barbosa, Felipe Anderson Smith de Medeiros
article en
1 citations

Abstract

This study analyzed the relevance of governance structure for efficient revenue collection by Brazilian water utilities (WUs). Data were collected from the National Information System on Sanitation (SNIS) for 127 Brazilian WUs, covering a balanced longitudinal panel from 2018 to 2022. The governance structures evaluated included ownership (public or private) and corporatization (publicly traded or not). We searched scientific databases and did not find any studies on the efficiency of specific WUs in collecting customer bills for services rendered and its relationship with this type of governance; thus, this is the main innovative contribution of this study to the literature. In the first stage, this study utilized the dynamic slack-based model (DSBM) to assess revenue collection efficiency. In the second stage, an econometric model with generalized estimating equation (GEE) was used to explain the efficiency. The findings revealed a global average inefficiency in revenue collection of 50.47%. Corporatization was linked to higher collection efficiencies, while ownership type was significantly linked with lower collection efficiency. Factors such as tariff accessibility, urbanization, and the COVID-19 pandemic also influenced efficiency. This study suggests that regulatory bodies should consider these insights to implement policies that prevent inefficiencies from affecting the tariff system for services.

WaterVol. 16(17)
Universidade Federal do Rio Grande do Norte (BR), Universidade Lusófona (PT)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Universidade Federal do Rio Grande do Norte
Sustainable cities and communities
Openalex Percentile: Top 42%
Water resources management and optimization
0.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.