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Water for irrigation or hydropower generation?--Complex questions regarding water allocation in Tanzania

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  • Kadigi, Reuben M.J.
  • Mdoe, Ntengua S.Y.
  • Ashimogo, Gasper C.
  • Morardet, Sylvie

Abstract

The need for achieving efficient, equitable and sustainable use of water resources to meet water demands of different sectors is pressing, particularly in areas where water resources are dwindling. Along with this is the quest for having a good understanding of the value of water in its different uses. Using a simplified model derived from the residual imputation approach (the Change in Net Income Model) we assess the value of water in irrigated paddy and hydropower generation in the Great Ruaha River Catchment (GRRC) in Tanzania. The estimated productivity of water (PW) in irrigated paddy ranges from 0.059 to 0.250 kg/m3 (for withdrawn water) and 0.126 to 0.265 kg/m3 (for consumed water). The PW in hydropower generation is estimated to range from 0.45 to 1.68 kWh/m3. In monetary terms the value of water in irrigated paddy is estimated at 15.3 Tanzanian shilling (Tsh)/m3 (for water withdrawn) and 0.19 tsh/m3 (for water consumed). The values of water for hydropower generation are relatively higher than for irrigated paddy, ranging from 59 to 226 tsh/m3. Yet, irrigated paddy also supports livelihoods of about 30,000 agrarian families in the GRRC, with gross revenue of about Tsh 15.9 million per annum and GRCC paddy contributes about 14-24% of national rice production. We conclude that understanding the value of water in its alternative uses is key to fostering informed debate on water management and allocation, identifying the basis for making 'agreeable' trade-offs, the potential for improvement and creating linkages with water allocation options particularly in agricultural-based economies, where agriculture competes with other sectors and where water re-allocation decisions may involve large transfers of water from the sector generating the highest pro-poor returns (agriculture for this case) to the sectors generating the highest economic returns (hydropower generation and industrial uses).

Suggested Citation

  • Kadigi, Reuben M.J. & Mdoe, Ntengua S.Y. & Ashimogo, Gasper C. & Morardet, Sylvie, 2008. "Water for irrigation or hydropower generation?--Complex questions regarding water allocation in Tanzania," Agricultural Water Management, Elsevier, vol. 95(8), pages 984-992, August.
  • Handle: RePEc:eee:agiwat:v:95:y:2008:i:8:p:984-992
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    References listed on IDEAS

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    2. England, Matthew I., 2019. "Contested waterscapes: Irrigation and hydropower in the Great Ruaha River Basin, Tanzania," Agricultural Water Management, Elsevier, vol. 213(C), pages 1084-1095.
    3. Zhang, Jin & Xu, Linyu & Li, Xiaojin, 2015. "Review on the externalities of hydropower: A comparison between large and small hydropower projects in Tibet based on the CO2 equivalent," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 176-185.
    4. Tor Haakon Bakken & Christian Almestad & Jørgen Melhuus Rugelbak & Marisa Escobar & Steven Micko & Knut Alfredsen, 2016. "Climate Change and Increased Irrigation Demands: What Is Left for Hydropower Generation? Results from Two Semi-Arid Basins," Energies, MDPI, vol. 9(3), pages 1-19, March.
    5. Xie, Xiaomin & Jiang, Xiaoyun & Zhang, Tingting & Huang, Zhen, 2019. "Regional water footprints assessment for hydroelectricity generation in China," Renewable Energy, Elsevier, vol. 138(C), pages 316-325.
    6. Onofri, Laura & Lange, Glenn Marie & Portela, Rosimeiry & Nunes, Paulo A.L.D., 2017. "Valuing ecosystem services for improved national accounting: A pilot study from Madagascar," Ecosystem Services, Elsevier, vol. 23(C), pages 116-126.
    7. Yang, Y.C. Ethan & Wi, Sungwook, 2018. "Informing regional water-energy-food nexus with system analysis and interactive visualization – A case study in the Great Ruaha River of Tanzania," Agricultural Water Management, Elsevier, vol. 196(C), pages 75-86.
    8. Jatin Anand & Ashvani Kumar Gosain & Rakesh Khosa, 2018. "Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    9. World Bank Group, 2015. "Tanzania’s Tourism Futures," World Bank Publications - Reports 22682, The World Bank Group.
    10. Mulenga, Enock & Kabanshi, Alan & Mupeta, Henry & Ndiaye, Musa & Nyirenda, Elvis & Mulenga, Kabwe, 2023. "Techno-economic analysis of off-grid PV-Diesel power generation system for rural electrification: A case study of Chilubi district in Zambia," Renewable Energy, Elsevier, vol. 203(C), pages 601-611.

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