442
Views
14
CrossRef citations to date
0
Altmetric
Articles

Determinants of the marginal willingness to pay for improved domestic water and irrigation in partially electrified Rwandan villages

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 547-559 | Received 24 Feb 2019, Accepted 28 May 2019, Published online: 16 Jun 2019

References

  • Adenike AA, Titus OB. 2009. Determinants of willingness to pay for improved water supply in Osogbo Metropolis; Osun State, Nigeria. Res J Social Sci. 4:1–6.
  • Africa Guide. 2019. Rwanda Guide; accessed 2019 May 21. https://www.africaguide.com/country/rwanda/.
  • Akram AA, Olmstead SM. 2011. The value of household water service quality in Lahore, Pakistan. Environ Resour Econ. 49(2):173–198.
  • Akter S. 2007. Farmers’ willingness to pay for irrigation water under government managed small scale irrigation projects in Bangladesh. J Bangladesh Stud. 9:21–31.
  • Al-Assaf AA. 2015. Applying contingent valuation to measure the economic value of forest services: a case study in Northern Jordan. Int J Sustainable Dev World Ecol. 22(3):242–250.
  • Alhassan M, Loomis J, Frasier M, Davies S, Andales A. 2013. Estimating farmers’ willingness to pay for improved irrigation: an economic study of the Bontanga irrigation scheme in Northern Ghana. J Agri Sci. 5(4):31–42.
  • Alhassan M, Mohammed J. 2013. Households’ demand for better solid waste disposal services: case study of four communities in the New Juaben municipality, Ghana. J Sustainable Dev. 6(11):16–25.
  • Altaf A, Jamal H, Whittington D. 1992. Willingness to pay for water in rural Punjab, Pakistan. Washington (USA): World Bank.
  • Angella N, Dick S, Bagamba F. 2014. Willingness to pay for irrigation water and its determinants among rice farmers at Doho Rice Irrigation Scheme (DRIS) in Uganda. J Dev Agri Econ. 6(8):345–355.
  • Arouna A, Dabbert S. 2012. Estimating rural households’ willingness to pay for water supply improvements: a Benin case study using a semi-nonparametric bivariate probit approach. Water Intl. 37(3):293–304.
  • Bank W. 1993. The demand for water in rural areas: determinants and policy implications. World Bank Res Obs. 8(1):47–70.
  • Bartram J, Cairncross S. 2010. Hygiene, sanitation, and water: forgotten foundations of health. PLoS Med. 7(11):e1000367.
  • Bbox. 2018. United Kingdom: bbox; accessed 2018 Dec 20. http://www.bboxx.co.uk/.
  • Bennett J, Birol E. 2010. Choice experiments in developing countries: implementation, challenges and policy implications. Cheltenham (UK): Edward Elgar.
  • Bhattarai K. 2015. Households’ willingness to pay for improved solid waste management in Banepa municipality, Nepal. Environ Natural Res Jl. 13(2):14–25.
  • Boadu FO. 1992. Contingent valuation for household water in rural Ghana. J Agri Econ. 43(3):458–465.
  • Calkins P, Larue B, Vézina M. 2002. Willingness to pay for drinking water in the sahara: the case of Douentza in Mali. Cahiers D’économie Et Sociologie Rurales. 64:37–56.
  • Campana PE, Li H, Yan J. 2013. Dynamic modelling of a PV pumping system with special consideration on water demand. Appl Energy. 112:635–645.
  • Cho Y, Easter KW, McCann LM, Homans F. 2005. Are rural residents willing to pay enough to improve drinking water quality? J Am Water Res Assoc. 41(3):729–740.
  • Davies H 2017. Futurepump is now in Rwanda! Rwanda: futurepump; accessed 2018 Dec 19. https://futurepump.com/futurepump-rwanda/.
  • Deloitte. 2016. Customer service incentives: statistical exploration of the water industry SIM. London (UK):Deloitte.
  • Ezebilo EE, Mattsson L, Afolami CA. 2010. Economic value of ecotourism to local communities in the Nigerian rainforest zone. J Sustainable Dev. 3(1):51–60.
  • Farolfi S, Mabugu RE, Ntshingila SN. 2007. Domestic water use and values in Swaziland: a contingent valuation analysis. Agrekon. 46(1):157–170.
  • Fujita Y, Fujii A, Furukawa S, Ogawa T. 2005. Estimation of willingness-to-pay (WTP) for water and sanitation services through contingent valuation method (CVM): A case study in Iquitos City, The Republic of Peru. JBICI Rev. 11:59–87.
  • Gaia Survey Rwanda. 2018. Gaia Survey Rwanda - about us. Rwanda: Gaia Survey; [accessed 2018 Dec 19]. http://www.gaiasurveyrwanda.com/about/.
  • Graham JP, Hirai M, Kim SS. 2016. An analysis of water collection labor among women and children in 24 sub-Saharan African countries. PLoS One. 11(6):e0155981.
  • Hanley N, Mourato S, Wright RE. 2010. Choice modelling approaches: A superior alternative for environmental valuation. J Econ Surv. 15(3):435–462.
  • Harun R, Muresan IC, Arion FH, Dumitras DE, Lile R. 2015. Analysis of factors that influence the willingness to pay for irrigation water in the Kurdistan Regional government, Iraq. Sustainability. 7(7):9574–9586.
  • Harvey PA, Reed RA. 2004. Rural water supply in Africa: building blocks for handpump sustainability. Loughborough (UK): WEDC, Loughborough University.
  • Hausman J. 2012. Contingent valuation: from dubious to hopeless. J Econ Perspect. 26(4):43–56.
  • Howard G, Bartram J. 2003. Domestic water quantity, service level, and health. Geneva (CH): World Health Organization.
  • Kaffashi S, Shamsudin MN, Radam A, Rahim KA, Yacob MR. 2013. We are willing to pay to support wetland conservation: local users’ perspective. Int J Sustainable Dev World Ecol. 20(4):325–335.
  • Kaldellis JK, Spyropoulos GC, Kavadias KA, Koronaki IP. 2009. Experimental validation of autonomous PV-based water pumping system optimum sizing. Renewable Energy. 34(4):1106–1113.
  • Kaliba ARM, Norman DW, Chang YM. 2003. Willingness to pay to improve domestic water supply in rural areas of Central Tanzania: implications for policy. Int J Sustainable Dev World Ecol. 10(2):119–132.
  • Kiprop J, Mulungu K, Kibet N, Macharia A. 2017. Determinants of smallholder farmers’ willingness to pay for irrigation water in Kerio Valley basin, Kenya. J Sustainable Dev. 10(2):135–142.
  • Manning DT, Loomis JB. 2016. Consumer preferences for fixed versus variable quantities of electricity: joint estimation of contingent quantity and valuation methods. Environ Dev Econ. 21(6):789–811.
  • Manning DT, Means P, Zimmerle D, Galvin K, Loomis J, Paustian K. 2015. Using contingent behavior analysis to measure benefits from rural electrification in developing countries: an example from Rwanda. Energy Policy. 86:393–401.
  • Mapsland. 2019. Detailed location map of Rwanda in Africa; accessed 2019 May 21. https://www.mapsland.com/africa/rwanda/detailed-location-map-of-rwanda-in-africa.
  • Mesa-Jurado MA, Martin-Ortega J, Ruto E, Berbel J. 2012. The economic value of guaranteed water supply for irrigation under scarcity conditions. Agri Water Manage. 113:10–18.
  • Meshpower. 2018. Rwanda: Meshpower; [accessed 2018 Dec 20]. http://www.meshpower.co.rw/.
  • Meunier S, Heinrich M, Quéval L, Cherni JA, Vido L, Darga A, Dessante P, Multon B, Kitanidis PK, Marchand C. 2019. A validated model of a photovoltaic water pumping system for off-grid rural communities. Appl Energy. 241:580–591.
  • Meunier S, Queval L, Darga A, Dessante P, Marchand C, Heinrich M, Cherni J, Vido L, Multon B 2018. Influence of the temporal resolution of the water consumption profile on photovoltaic water pumping systems modelling and sizing. Proceedings of the 7th International Conference on Renewable Energy Research and Applications (ICRERA); Oct 14–17;Paris, France. IEEE. p. 494–499.
  • Mezgebo A, Tessema W, Asfaw Z. 2013. Economic values of irrigation water in Wondo Genet District, Ethiopia: an application of contingent valuation method. J Econ Sustainable Dev. 4(2):23–36.
  • Ngabonziza P, Maimbo MM. 2010. Rwanda irrigation master plan. Rwanda: The Government of Rwanda, Ministry of Agriculture & Animal Resources, Ebony Enterprises Limited, The World Agroforestry Centre (ICRAF).
  • Ngoga TH. 2015. Rwanda rural settlement - An assessment of land management and livelihoods. London (UK): International Alert.
  • Perez-Pineda F, Quintanilla-Armijo C. 2013. Estimating willingness-to-pay and financial feasibility in small water projects in El Salvador. J Bus Res. 66(10):1750–1758.
  • Popoola L, Ajewole O. 2002. Willingness to pay for rehabilitation of Ibadan urban environment through reforestation projects. Int J Sustainable Dev World Ecol. 9(3):256–268.
  • Rahman MM, Alam K, Karim R, Islam MK. 2017. Willingness to pay for improved water supply: a policy implications for future water security. Am J Environ Res Econ. 2(4):116–122.
  • Rwandan Ministry of Infrastructure. 2017. Rwanda overview: water, sanitation and hygiene. Rwanda:Rwandan Ministry of Infrastructure.
  • Tobin J. 1958. Estimation of relationships for limited dependent variables. Econometrica. 26(1):24–36.
  • [UN] United Nations. 2015. The millennium development goals report. New York (NY):United Nations.
  • [UN] United Nations. 2018. Goal 6: ensure access to water and sanitation for all. New York (NY): United Nations; [accessed 2018 Dec 5]. https://www.un.org/sustainabledevelopment/water-and-sanitation/.
  • Whittington D, Briscoe J, Mu X, Barron W. 1990. Estimating the willingness to pay for water services in developing countries: A case study of the use of contingent valuation surveys in southern Haiti. Econ Dev Cult Change. 38(2):293–311.
  • Whittington D, Lauria DT, Mu X. 1991. A study of water vending and willingness to pay for water in Onitsha, Nigeria. World Dev. 19(2–3):179–198.
  • Wondimu S, Bekele W 2011. Determinants of individual willingness to pay for quality water supply: the case of Wonji Shoa Sugar Estate, Ethiopia. Proceedings of 1st International Conference on Water and Society; Dec 5 –7;Las Vega (NV). p. 59–70.
  • World Health Organization, United Nations Children’s Fund. 2010. Progress on sanitation and drinking water. Geneva (CH):World Health Organization.
  • Wright SG, Muralidharan D, Mayer AS, Breffle WS. 2014. Willingness to pay for improved water supplies in rural Ugandan villages. J Water, Sanitation Hyg Dev. 4(3):490–498.
  • Yami M. 2016. Irrigation projects in Ethiopia: what can be done to enhance effectiveness under “challenging contexts”?. Int J Sustainable Dev World Ecol. 23(2):132–142.
  • You L, Ringler C, Wood-Sichra U, Robertson R, Wood S, Zhu T, Nelson G, Guo Z, Sun Y. 2011. What is the irrigation potential for Africa? A combined biophysical and socioeconomic approach. Food Policy. 36(6):770–782.
  • Zakaria H, Abujaja AM, Adam H, Nabila AY, Mohammed I. 2013. Factors affecting farmers willingness to pay for improved irrigation service: A case study of Bontanga Irrigation Scheme in Northern Ghana. Int J Agri Econ Extension. 2(1):68–76.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.