YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Evaluating the Performance of Urban Water Utilities: Robust Nonparametric Approach

    Source: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 009
    Author:
    Jayanath Ananda
    DOI: 10.1061/(ASCE)WR.1943-5452.0000387
    Publisher: American Society of Civil Engineers
    Abstract: This paper empirically analyzes the efficiency of urban water utilities using state-of-the-art methodology combining data envelopment analysis (DEA) and a two-stage double bootstrap procedure. In the first stage, robust efficiency estimates are obtained with an improved DEA analysis. In the second stage, a truncated regression model and a double bootstrap procedure are used to estimate the effect of a set of environmental variables on unbiased DEA estimates. The findings suggest that the efficiency scores obtained after bias correction are significantly different to the original efficiency estimates. The results also show the existence of a significant relation between efficiency and several environmental variables including the proportion of water sourced from groundwater, customer density, and residential consumption.
    • Download: (665.3Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Evaluating the Performance of Urban Water Utilities: Robust Nonparametric Approach

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/70247
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    contributor authorJayanath Ananda
    date accessioned2017-05-08T22:03:53Z
    date available2017-05-08T22:03:53Z
    date copyrightSeptember 2014
    date issued2014
    identifier other%28asce%29ww%2E1943-5460%2E0000005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70247
    description abstractThis paper empirically analyzes the efficiency of urban water utilities using state-of-the-art methodology combining data envelopment analysis (DEA) and a two-stage double bootstrap procedure. In the first stage, robust efficiency estimates are obtained with an improved DEA analysis. In the second stage, a truncated regression model and a double bootstrap procedure are used to estimate the effect of a set of environmental variables on unbiased DEA estimates. The findings suggest that the efficiency scores obtained after bias correction are significantly different to the original efficiency estimates. The results also show the existence of a significant relation between efficiency and several environmental variables including the proportion of water sourced from groundwater, customer density, and residential consumption.
    publisherAmerican Society of Civil Engineers
    titleEvaluating the Performance of Urban Water Utilities: Robust Nonparametric Approach
    typeJournal Paper
    journal volume140
    journal issue9
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000387
    treeJournal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 009
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian