Skip to main content
Erschienen in: Social Indicators Research 1/2018

26.05.2017

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

verfasst von: A. Majeed Nadeem, Roland Cheo, Huang Shaoan

Erschienen in: Social Indicators Research | Ausgabe 1/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Azizullah, A., Khattak, M. N. K., Richter, P., & Häder, D.-P. (2011). Water pollution in pakistan and its impact on public health—A review. Environment International, 37(2), 479–497.CrossRef Azizullah, A., Khattak, M. N. K., Richter, P., & Häder, D.-P. (2011). Water pollution in pakistan and its impact on public health—A review. Environment International, 37(2), 479–497.CrossRef
Zurück zum Zitat Chatfield, C., & Collins, A. J. (1980). Principal component analysis. In Introduction to multivariate analysis (pp. 57–81). Springer. Chatfield, C., & Collins, A. J. (1980). Principal component analysis. In Introduction to multivariate analysis (pp. 57–81). Springer.
Zurück zum Zitat Cho, D. I., Ogwang, T., & Opio, C. (2010). Simplifying the water poverty index. Social Indicators Research, 97(2), 257–267.CrossRef Cho, D. I., Ogwang, T., & Opio, C. (2010). Simplifying the water poverty index. Social Indicators Research, 97(2), 257–267.CrossRef
Zurück zum Zitat Cosgrove, W. J., & Loucks, D. P. (2015). Water management: Current and future challenges and research directions. Water Resources Research, 51(6), 4823–4839.CrossRef Cosgrove, W. J., & Loucks, D. P. (2015). Water management: Current and future challenges and research directions. Water Resources Research, 51(6), 4823–4839.CrossRef
Zurück zum Zitat Dunteman, G.H. (1989). Principal components analysis (Number 69). Sage. Dunteman, G.H. (1989). Principal components analysis (Number 69). Sage.
Zurück zum Zitat Garriga, R. G., & Foguet, A. P. (2010). Improved method to calculate a water poverty index at local scale. Journal of Environmental Engineering, 136(11), 1287–1298.CrossRef Garriga, R. G., & Foguet, A. P. (2010). Improved method to calculate a water poverty index at local scale. Journal of Environmental Engineering, 136(11), 1287–1298.CrossRef
Zurück zum Zitat Heidecke, C. (2006). Development and evaluation of a regional water poverty index for Benin (Vol. 145). Intl Food Policy Res Inst. Heidecke, C. (2006). Development and evaluation of a regional water poverty index for Benin (Vol. 145). Intl Food Policy Res Inst.
Zurück zum Zitat Ifabiyi, I., & Ogunbode, T. (2014). The use of composite water poverty index in assessing water scarcity in the rural areas of Oyo State, Nigeria. AFRREV STECH: An International Journal of Science and Technology, 3(2), 51–65.CrossRef Ifabiyi, I., & Ogunbode, T. (2014). The use of composite water poverty index in assessing water scarcity in the rural areas of Oyo State, Nigeria. AFRREV STECH: An International Journal of Science and Technology, 3(2), 51–65.CrossRef
Zurück zum Zitat Jemmali, H. (2017). Mapping water poverty in Africa using the improved multidimensional index of water poverty. International Journal of Water Resources Development, 33(4), 649–666.CrossRef Jemmali, H. (2017). Mapping water poverty in Africa using the improved multidimensional index of water poverty. International Journal of Water Resources Development, 33(4), 649–666.CrossRef
Zurück zum Zitat Jemmali, H., & Matoussi, M. S. (2013). A multidimensional analysis of water poverty at local scale: Application of improved water poverty index for Tunisia. Water Policy, 15(1), 98–115.CrossRef Jemmali, H., & Matoussi, M. S. (2013). A multidimensional analysis of water poverty at local scale: Application of improved water poverty index for Tunisia. Water Policy, 15(1), 98–115.CrossRef
Zurück zum Zitat Jemmali, H., & Sullivan, C. A. (2014). Multidimensional analysis of water poverty in mena region: An empirical comparison with physical indicators. Social Indicators Research, 115(1), 253–277.CrossRef Jemmali, H., & Sullivan, C. A. (2014). Multidimensional analysis of water poverty in mena region: An empirical comparison with physical indicators. Social Indicators Research, 115(1), 253–277.CrossRef
Zurück zum Zitat Jollands, N., Lermit, J., & Patterson, M. (2004). Aggregate eco-efficiency indices for New Zealand—A principal components analysis. Journal of Environmental Management, 73(4), 293–305.CrossRef Jollands, N., Lermit, J., & Patterson, M. (2004). Aggregate eco-efficiency indices for New Zealand—A principal components analysis. Journal of Environmental Management, 73(4), 293–305.CrossRef
Zurück zum Zitat Jolliffe, I. (2002). Principal component analysis. New Jersey: Wiley Online Library. Jolliffe, I. (2002). Principal component analysis. New Jersey: Wiley Online Library.
Zurück zum Zitat Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151.CrossRef Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151.CrossRef
Zurück zum Zitat Komnenic, V., Ahlers, R., & Van Der Zaag, P. (2009). Assessing the usefulness of the water poverty index by applying it to a special case: Can one be water poor with high levels of access? Physics and Chemistry of the Earth, Parts A/B/C, 34(4), 219–224.CrossRef Komnenic, V., Ahlers, R., & Van Der Zaag, P. (2009). Assessing the usefulness of the water poverty index by applying it to a special case: Can one be water poor with high levels of access? Physics and Chemistry of the Earth, Parts A/B/C, 34(4), 219–224.CrossRef
Zurück zum Zitat Lawrence, P. R., Meigh, J., Sullivan, C., et al. (2002). The water poverty index: An international comparison. Staffordshire, UK: Department of Economics, Keele University Keele. Lawrence, P. R., Meigh, J., Sullivan, C., et al. (2002). The water poverty index: An international comparison. Staffordshire, UK: Department of Economics, Keele University Keele.
Zurück zum Zitat Manandhar, S., Pandey, V. P., & Kazama, F. (2012). Application of water poverty index (wpi) in nepalese context: A case study of kali gandaki river basin (kgrb). Water Resources Management, 26(1), 89–107.CrossRef Manandhar, S., Pandey, V. P., & Kazama, F. (2012). Application of water poverty index (wpi) in nepalese context: A case study of kali gandaki river basin (kgrb). Water Resources Management, 26(1), 89–107.CrossRef
Zurück zum Zitat Matshe, I., Moya-Maposa, S., & Zikhali, P. (2013). Water poverty and rural development: Evidence from South Africa. African Journal of Agricultural and Resource Economics, 8(2), 136–156. Matshe, I., Moya-Maposa, S., & Zikhali, P. (2013). Water poverty and rural development: Evidence from South Africa. African Journal of Agricultural and Resource Economics, 8(2), 136–156.
Zurück zum Zitat Molle, F., & Mollinga, P. (2003). Water poverty indicators: Conceptual problems and policy issues. Water Policy, 5(5–6), 529–544.CrossRef Molle, F., & Mollinga, P. (2003). Water poverty indicators: Conceptual problems and policy issues. Water Policy, 5(5–6), 529–544.CrossRef
Zurück zum Zitat Pan, A., Bosch, D., & Ma, H. (2017) Assessing water poverty in china using holistic and dynamic principal component analysis. Social Indicators Research, 30(2), 537–561.CrossRef Pan, A., Bosch, D., & Ma, H. (2017) Assessing water poverty in china using holistic and dynamic principal component analysis. Social Indicators Research, 30(2), 537–561.CrossRef
Zurück zum Zitat Pérez-Foguet, A., & Garriga, R. G. (2011). Analyzing water poverty in basins. Water Resources Management, 25(14), 3595–3612.CrossRef Pérez-Foguet, A., & Garriga, R. G. (2011). Analyzing water poverty in basins. Water Resources Management, 25(14), 3595–3612.CrossRef
Zurück zum Zitat Rehman, A., Bhatti, H. N., et al. (2009). Textile effluents affected seed germination and early growth of some winter vegetable crops: A case study. Water, Air, and Soil Pollution, 198(1–4), 155.CrossRef Rehman, A., Bhatti, H. N., et al. (2009). Textile effluents affected seed germination and early growth of some winter vegetable crops: A case study. Water, Air, and Soil Pollution, 198(1–4), 155.CrossRef
Zurück zum Zitat Sullivan, C. (2001). The potential for calculating a meaningful water poverty index. Water International, 26(4), 471–480.CrossRef Sullivan, C. (2001). The potential for calculating a meaningful water poverty index. Water International, 26(4), 471–480.CrossRef
Zurück zum Zitat Sullivan, C. (2002). Calculating a water poverty index. World Development, 30(7), 1195–1210.CrossRef Sullivan, C. (2002). Calculating a water poverty index. World Development, 30(7), 1195–1210.CrossRef
Zurück zum Zitat Sullivan, C., & Meigh, J. (2005). Targeting attention on local vulnerabilities using an integrated index approach: The example of the climate vulnerability index. Water Science and Technology, 51(5), 69–78.CrossRef Sullivan, C., & Meigh, J. (2005). Targeting attention on local vulnerabilities using an integrated index approach: The example of the climate vulnerability index. Water Science and Technology, 51(5), 69–78.CrossRef
Zurück zum Zitat Sullivan, C., Meigh, J., & Lawrence, P. (2006). Application of the water poverty index at different scales: A cautionary tale: In memory of jeremy meigh who gave his life’s work to the improvement of peoples lives. Water International, 31(3), 412–426.CrossRef Sullivan, C., Meigh, J., & Lawrence, P. (2006). Application of the water poverty index at different scales: A cautionary tale: In memory of jeremy meigh who gave his life’s work to the improvement of peoples lives. Water International, 31(3), 412–426.CrossRef
Zurück zum Zitat Sullivan, C. A., Meigh, J. R., Giacomello, A. M. (2003). The water poverty index: Development and application at the community scale. In Natural resources forum (Vol. 27, pp. 189–199). Wiley Online Library. Sullivan, C. A., Meigh, J. R., Giacomello, A. M. (2003). The water poverty index: Development and application at the community scale. In Natural resources forum (Vol. 27, pp. 189–199). Wiley Online Library.
Zurück zum Zitat Van Ty, T., Sunada, K., Ichikawa, Y., & Oishi, S. (2010). Evaluation of the state of water resources using modified water poverty index: A case study in the Srepok river basin, Vietnam–Cambodia. International Journal of River Basin Management, 8(3–4), 305–317. Van Ty, T., Sunada, K., Ichikawa, Y., & Oishi, S. (2010). Evaluation of the state of water resources using modified water poverty index: A case study in the Srepok river basin, Vietnam–Cambodia. International Journal of River Basin Management, 8(3–4), 305–317.
Zurück zum Zitat Vinke, K., Martin, M. A., Adams, S., Baarsch, F., Bondeau, A., Coumou, D., Donner, R. V., Menon, A., Perrette, M., Rehfeld, K. et al. (2016). Climatic risks and impacts in South Asia: Extremes of water scarcity and excess. Regional Environmental Change. doi:10.1007/s10113-015-0924-9. Vinke, K., Martin, M. A., Adams, S., Baarsch, F., Bondeau, A., Coumou, D., Donner, R. V., Menon, A., Perrette, M., Rehfeld, K. et al. (2016). Climatic risks and impacts in South Asia: Extremes of water scarcity and excess. Regional Environmental Change. doi:10.​1007/​s10113-015-0924-9.
Zurück zum Zitat Yu, C.-C., Quinn, J. T., Dufournaud, C. M., Harrington, J. J., Rogers, P. P., & Lohani, B. N. (1998). Effective dimensionality of environmental indicators: A principal component analysis with bootstrap confidence intervals. Journal of Environmental Management, 53(1), 101–119.CrossRef Yu, C.-C., Quinn, J. T., Dufournaud, C. M., Harrington, J. J., Rogers, P. P., & Lohani, B. N. (1998). Effective dimensionality of environmental indicators: A principal component analysis with bootstrap confidence intervals. Journal of Environmental Management, 53(1), 101–119.CrossRef
Metadaten
Titel
Multidimensional Analysis of Water Poverty and Subjective Well-Being: A Case Study on Local Household Variation in Faisalabad, Pakistan
verfasst von
A. Majeed Nadeem
Roland Cheo
Huang Shaoan
Publikationsdatum
26.05.2017
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 1/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-017-1652-y

Weitere Artikel der Ausgabe 1/2018

Social Indicators Research 1/2018 Zur Ausgabe

Premium Partner