Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Assessing the spatial variation of water poverty determinants in Maharashtra, India

Bibliographic Data

ID21697023
AuthorsAishwarya Dhawan (0009-0005-7316-2830, Indian Institute of Technology Bombay, corresponding author), Haripriya Gundimeda (0000-0003-0418-0961, Indian Institute of Technology Bombay)
Year2024
Volume26
Issue2
Pages131-153
Publication date2024-02-01
Open AccessYes
TypeARTICLE
VenueWater Policy (JOURNAL)
Journal identifiersISSN: 1366-7017 • E-ISSN: 1996-9759
PublisherIWA Publishing (PUBLISHER • GB)
DOI10.2166/wp.2024.088
OpenAlexW4391023084
LanguageEN
Citations received1
References cited42

Water scarcity is an emerging multidimensional issue concerning not only the physical availability of resources but also is linked with poverty. The existing literature has established a relationship between income poverty and water poverty. In the Indian context, various studies have explored such issues using the Water Poverty Index (WPI), but only a few have analyzed downscale spatial units. This paper constructs district-level water poverty measures and maps its spatial heterogeneity for Maharashtra, India. Using an indicator-based approach, we aggregate various dimensions of water poverty into a single index. This composite index is formulated by normalizing the indicators and assigning weights using principal component analysis. After rescaling, the aggregate WPI score varies from 0 to 1, denoting lower to higher water poverty. The overall WPI estimate of Maharashtra is 0.47, implying high water stress. The study presents district-wise WPI information by combining the results with Geographic Information System (GIS). Our findings suggest that along with the physical abundance and accessibility to water, improvement in the determinants of capacity and environment is essential to tackle water poverty. Results highlight the intra-district variations among components of water poverty, indicating the importance of local-scale policy-making for better water resource management

Economic growth · Economics · Geography · Poverty · Socioeconomics · Spatial variability · Statistics · Water resource management · Child Nutrition and Water Access · Environmental Science · Mathematics · Water Resources and Sustainability · Water resources management and optimization

  • A multi-model approach to analyse multidimensional water poverty index in nepal

    Open Access•Shiva Kant Dube, Lucky Sharma et al.•Environment Development and…•2025

  • Handbook on Constructing Composite Indicators

    OECD OECD, European Union•Handbook on Constructing…•2008

  • Basic Water Requirements for Human Activities

    Peter H Gleick•Water International•1996

  • Principal component analysis

    Open Access•Hervé Abdi, Lynne J Williams•WIREs Computational Statistics•2010

  • Factor Analysis as a Tool for Survey Analysis

    Open Access•Noora Shrestha•American Journal of Applied…•2021

  • Spatial-Temporal Relationship between Water Resources and Economic Development in Rural China from a Poverty Perspective

    Open Access•Zhaorunqing Liu, Wenxin Liu•International Journal of…•2021

  • On the Methodological Framework of Composite Indices

    Open Access•Salvatore Greco, Alessio Ishizaka et al.•Social Indicators Research•2019

  • The concept of scale and the human dimensions of global change

    Open Access•Clark C Gibson, Elinor Ostrom et al.•Ecological Economics•2000

  • Calculating a Water Poverty Index

    Open Access•Constance A Sullivan, Caroline Sullivan•World Development•2002

  • Assessing impacts of the water poverty index components on the human development index in Iran

    Open Access•Tahmineh Ladi, Asrin Mahmoudpour et al.•Habitat International•2021

  • Local Indicators of Spatial Association—Lisa

    Open Access•Luc Anselin•Geographical Analysis•1995

  • A Computer Movie Simulating Urban Growth in the Detroit Region

    W R Tobler, Waldo Tobler•Economic Geography•1970

  • Multidimensional Analysis of Water Poverty in Mena Region

    Open Access•Hatem Jemmali, Constance A Sullivan et al.•Social Indicators Research•2014

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae