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Efficiency in Brazil's water and sanitation sector and its relationship with regional provision, property and the independence of operators
16 references·3 citing·43 second hop
Efficiency in Brazil's water and sanitation sector and its relationship with regional provision, property and the independence of operators (2014)Efficiency in Brazil's water and sanitati…Ownership and performance of water utilities* (2018)Ownership and performance of …A review of frontier approaches to efficiency and productivity measurement in urban water utilities (2013)A review of frontier approach…Quo vadis efficiency analysis of water distribution? A comparative literature review (2009)Quo vadis efficiency analysis…Productivity and efficiency in the water industry (2009)Productivity and efficiency i…Efficiency in the Brazilian sanitation sector (2007)Efficiency in the Brazilian s…Determining the contribution of technical change, efficiency change and scale change to productivity growth in the privatized English and Welsh water and sewerage industry: 1985–2000 (2007)Determining the contribution …Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods (2007)Cost efficiency of Slovenian …Efficiency and regulation in the sanitation sector in Brazil (2006)Efficiency and regulation in …The Game Academics Play: Editors versus Authors (2005)The Game Academics Play: Edit…Public Versus Private Water Utilities: Empirical Evidence for Brazilian Companies (2005)Public Versus Private Water U…Fixed and Random Effects in Stochastic Frontier Models (2005)Fixed and Random Effects in S…Reconsidering heterogeneity in panel data estimators of the stochastic frontier model (2004)Reconsidering heterogeneity i…Efficiency and regulatory issues in the Brazilian water and sewage sector: an empirical study (2004)Efficiency and regulatory iss…How Different Is the Efficiency of Public and Private Water Companies in Asia? (2002)How Different Is the Efficien…ALLOCATIVE EFFICIENCY OF RURAL NEVADA WATER SYSTEMS: A HEDONIC SHADOW COST FUNCTION APPROACH* (1995)ALLOCATIVE EFFICIENCY OF RURA…Public Versus Private Water Delivery: A Hedonic Cost Approach (1983)Public Versus Private Water D…Adequacy of DEA as a regulatory tool in the water sector. The impact of data uncertainty. (2018)Adequacy of DEA as a regulato…The most efficient clusters of Brazilian water companies (2015)The most efficient clusters o…Assessing the relative efficiency of water companies in the English and welsh water industry: a metafrontier approach (2015)Assessing the relative effici…Hedonic Cost Functions for the Regulated Trucking Industry (1978)The Relative Efficiency of Public and Private Firms in a Competitive Environment: The Case of Canadian Railroads (1980)Identifying network density and scale economies for Japanese water supply organizations (2001)Driving forces for consolidation or fragmentation of the US water utility industry: A cost function approach with endogenous output (2005)Productivity Trends in the United States (1961)Data Envelopment Analysis: The Assessment of Performance (1992)Measuring and comparing the efficiency of water utility companies: A data envelopment analysis approach (2011)The influence of the operational environment on the efficiency of water utilities (2011)A meta-regression analysis of benchmarking studies on water utilities market structure (2012)Formulation and estimation of stochastic frontier production function models (1977)A model for technical inefficiency effects in a stochastic frontier production function for panel data (1995)Stochastic Frontier Analysis (2000)The Econometric Approach to Efficiency Analysis (2008)On the implications of market power in banking: Evidence from developing countries (2009)Institutional quality, green innovation and energy efficiency (2019)Introduction to the Theory and Application of Data Envelopment Analysis (2001)An Introduction to Efficiency and Productivity Analysis (2005)Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References (2005)Assessing the efficiency of wastewater treatment plants in an uncertain context: a DEA with tolerances approach (2012)Water services performance: do operational environment and quality factors count? 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this work references cited by second hop

References

  • 2004Reconsidering heterogeneity in panel data estimators of the stochastic frontier model1,667 cited
  • 2005Fixed and Random Effects in Stochastic Frontier Models1,119 cited
  • 2009Productivity and efficiency in the water industry294 cited
  • 2007Determining the contribution of technical change, efficiency change and scale change to productivity growth in the privatized English and Welsh water and sewerage industry: 1985–2000280 cited
  • 2002How Different Is the Efficiency of Public and Private Water Companies in Asia?279 cited
  • 1983Public Versus Private Water Delivery: A Hedonic Cost Approach201 cited
  • 2004Efficiency and regulatory issues in the Brazilian water and sewage sector: an empirical study197 cited
  • 2006Efficiency and regulation in the sanitation sector in Brazil137 cited
  • 2013A review of frontier approaches to efficiency and productivity measurement in urban water utilities123 cited
  • 2009Quo vadis efficiency analysis of water distribution? A comparative literature review123 cited
  • 2007Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods116 cited
  • 2018Ownership and performance of water utilities*80 cited
  • 2007Efficiency in the Brazilian sanitation sector71 cited
  • 2005Public Versus Private Water Utilities: Empirical Evidence for Brazilian Companies

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62 cited
  • 2005The Game Academics Play: Editors versus Authors60 cited
  • 1995ALLOCATIVE EFFICIENCY OF RURAL NEVADA WATER SYSTEMS: A HEDONIC SHADOW COST FUNCTION APPROACH*38 cited
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    • 2015Assessing the relative efficiency of water companies in the English and welsh water industry: a metafrontier approach33 cited
    • 2015The most efficient clusters of Brazilian water companies32 cited
    • 2018Adequacy of DEA as a regulatory tool in the water sector. The impact of data uncertainty.30 cited