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Review Article

Investigating the relations between performance indicators of urban water supply in India

ORCID Icon & ORCID Icon
Pages 999-1014 | Received 25 Mar 2022, Accepted 05 Oct 2022, Published online: 19 Oct 2022
 

ABSTRACT

The present study investigated the relationships among nine Service Level Benchmarking performance indicators (PI) of urban water supply in India using Interpretive Structural Modeling (ISM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). The findings of ISM have indicated per capita water supply (PCS) as a dependent variable, while water quality is an autonomous variable; complaint redressal and collection efficiency of water charges are driving variables, and the remaining five are linkage variables. Further, fsQCA was used to validate the results of ISM across 53 Indian million-plus cities in the three Baseline Water Stress (BWS) regions, including 17 low-to-high (< 40%), 13 high (40-80%), and 23 very high (> 80%) BWS cities. With PCS as the output condition and the remaining eight PIs as input conditions, fsQCA indicated that low-to-high and high BWS cities follow the ISM results. In contrast, very high BWS cities exhibit contradictory relations to the ISM results.

Disclosure statement

The authors confirm that no known conflicts of interest are associated with this publication.

Nomenclature

BWS:=

Baseline Water Stress

CE:=

Efficiency in Collection of Water Charges

CMP:=

Efficiency of customer complaints redressal

CNT:=

Continuity of water supplied

COV:=

Coverage of Water Supply connections

CR:=

Recovery of Operation and Maintenance Costs

FsQCA:=

Fuzzy set Qualitative Comparative Analysis

ISM:=

Interpretive Structural Modelling

lpcd:=

liters per capita/day

MoUD:=

Ministry of Urban Development

MTR:=

Extent of Metering

NRW:=

The extent of Non-Revenue Water

PCS:=

Per capita water supply

PI:=

Performance Indicator

PMS:=

Performance Measurement System

QL:=

Quality of Water Supplied

SLB:=

Service Level Benchmark

ULB:=

Urban Local Body

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