Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia

被引:0
|
作者
Ambel, Alemayehu Azeze [1 ]
Mugera, Harriet Kasidi [2 ]
Bain, Robert E. S. [3 ]
机构
[1] World Bank, Dev Data Grp, 1818 H St NW, Washington, DC 20433 USA
[2] World Bank, Dev Data Grp, Copenhagen, Denmark
[3] United Nations Childrens Fund UNICEF, Div Data Anal Planning & Monitoring, New York, NY USA
来源
PLOS ONE | 2020年 / 15卷 / 12期
关键词
DEVELOPING-COUNTRIES;
D O I
10.1371/journal.pone.0243921
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contamination, available when needed and accessible on premises in line with Sustainable Development Goal target 6.1. The study finds that the new measure increases national multidimensional headcount poverty by 5-13 percentage points, which would mean that 5-13 million more people are multidimensionally poor. It also increases the poverty level in urban areas to a greater extent than in rural areas. The finding is robust to changes in water contamination risk levels and Multidimensional Poverty Index aggregation approaches and weighting structures.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Bacteriological Quality of Bottled Drinking Water and Municipal Tap Water in Northeastern Ethiopia
    Keleb, Awoke
    Ademas, Ayechew
    Sisay, Tadesse
    Lingerew, Mistir
    Adane, Metadel
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [22] Determinants of rural multidimensional poverty of households in Southern Ethiopia
    Eshetu, Fassil
    Haji, Jema
    Ketema, Mengistu
    Mehare, Abule
    COGENT SOCIAL SCIENCES, 2022, 8 (01):
  • [23] Multidimensional Measurement of Household Water Poverty in a Mumbai Slum: Looking Beyond Water Quality
    Subbaraman, Ramnath
    Nolan, Laura
    Sawant, Kiran
    Shitole, Shrutika
    Shitole, Tejal
    Nanarkar, Mahesh
    Patil-Deshmukh, Anita
    Bloom, David E.
    PLOS ONE, 2015, 10 (07):
  • [24] MEASURING VULNERABILITY TO MULTIDIMENSIONAL POVERTY IN LATIN AMERICA
    Gallardo, Mauricio
    Santos, Maria Emma
    Villatoro, Pablo
    Pizarro, Vicky
    REVIEW OF INCOME AND WEALTH, 2024, 70 (03) : 661 - 696
  • [25] Measuring housing poverty in Poland: a multidimensional analysis
    Ulman, Pawel
    Cwiek, Malgorzata
    HOUSING STUDIES, 2021, 36 (08) : 1212 - 1230
  • [26] Bacteriological and physicochemical quality of drinking water and associated risk factors in Ethiopia
    Ante, Abera Atumo
    Bogale, Girma Asefa
    Adem, Biniyam Mohammed
    COGENT FOOD & AGRICULTURE, 2023, 9 (01):
  • [27] Irrigation, drinking water quality, and child nutritional status in northern Ethiopia
    Usman, Muhammed A.
    Gerber, Nicolas
    JOURNAL OF WATER SANITATION AND HYGIENE FOR DEVELOPMENT, 2020, 10 (03) : 425 - 434
  • [28] Assessment of the Quality of Drinking Water Sources in Bahir Dar City, Ethiopia
    Alemu, Agegnehu
    Bitew, Woinitu
    Anteneh, Zelalem Liyew
    AIR SOIL AND WATER RESEARCH, 2024, 17
  • [29] The Colombian Multidimensional Poverty Index: Measuring Poverty in a Public Policy Context
    Roberto Angulo
    Yadira Díaz
    Renata Pardo
    Social Indicators Research, 2016, 127 : 1 - 38
  • [30] Bacteriological and physicochemical quality of drinking water in Kobo town, Northern Ethiopia
    Sitotaw, Baye
    Nigus, Molla
    JOURNAL OF WATER SANITATION AND HYGIENE FOR DEVELOPMENT, 2021, 11 (02) : 271 - 281