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Multidimensional Analysis of Water Poverty and Subjective Well-Being: A Case Study on Local Household Variation in Faisalabad, Pakistan

Author

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  • A. Majeed Nadeem

    (Shandong University)

  • Roland Cheo

    (Shandong University)

  • Huang Shaoan

    (Shandong University)

Abstract

Water poverty is difficult to evaluate because it is multidimensional. It is determined not only by the availability of water sources but also whether communities have adequate access to clean, uncontaminated water. It is also dependent on the resource needs of those using the water. Under the premise that water scarcity is multidimensional, we use a Water Poverty Index approach using Principal Component Analysis to develop an index at the household level in 10 villages in one large farming community to examine each household’s subjective view of well being as a result of water poverty. This paper reviews how water resources endowments and depletion because of indiscriminate disposal of untreated industrial wastewater, household sewage and climate change are posing serious threats to water poverty at the household level in developing agrarian economies like Pakistan. We report from our results that both the perceived level of pollution and the proximity to clean and polluted water sources matter significantly for subjective well-being in rural households of Pakistan. The villages closer to polluted water sources are unhappier while the villages, which have better access to fresh water, have relatively higher subjective well-being. A strong implementation of environmental protection measures and regional strategies are suggested to alleviate water poverty and increase subjective well-being in local communities.

Suggested Citation

  • A. Majeed Nadeem & Roland Cheo & Huang Shaoan, 2018. "Multidimensional Analysis of Water Poverty and Subjective Well-Being: A Case Study on Local Household Variation in Faisalabad, Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 207-224, July.
    • Handle: RePEc:spr:soinre:v:138:y:2018:i:1:d:10.1007_s11205-017-1652-y
    DOI: 10.1007/s11205-017-1652-y
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    References listed on IDEAS

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    8. Ane Pan & Darrell Bosch & Huimin Ma, 2017. "Assessing Water Poverty in China Using Holistic and Dynamic Principal Component Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 537-561, January.
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    Cited by:

    1. Shinice Jackson & Derek Yu, 2023. "Re-examining the Multidimensional Poverty Index of South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 1-25, February.
    2. Isha Goel & Seema Sharma & Smita Kashiramka, 2020. "The Water Poverty Index: An application in the Indian context," Natural Resources Forum, Blackwell Publishing, vol. 44(3), pages 195-218, August.
    3. Jinlong Shen & Jiafen Li & Yu Zhang & Jianfeng Song, 2023. "Farmers’ Water Poverty Measurement and Analysis of Endogenous Drivers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4309-4326, September.

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    More about this item

    Keywords

    Water pollution; Subjective well-being; Water poverty index; Pakistan; Principal component analysis;
    All these keywords.

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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