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1 Suhardiman, Diana; Karki, Emma. 2019. Spatial politics and local alliances shaping Nepal hydropower. World Development, 122:525-536. [doi: https://doi.org/10.1016/j.worlddev.2019.06.022]
Hydropower ; Development projects ; Decision making ; Political aspects ; Local communities ; Alliances ; Private sector ; Governing bodies ; Strategies ; Electricity ; Dams ; Downstream ; Upstream ; Villages ; Land acquisitions ; Compensation ; Social aspects ; Case studies / Nepal / Upper Karnali Hydropower Project / Karnali River
(Location: IWMI HQ Call no: e-copy only Record No: H049234)
(0.87 MB)
This paper investigates the spatial dimension of power relations and the shaping of local alliances through a hydropower development project in Nepal. It provides a grass-roots illustration on the role of space in shaping and reshaping power relations, and how it manifests in the formation of local strategic alliances. Taking the Upper Karnali hydropower project as a case study, the paper highlights: 1) the role of private sector actor as an ad-hoc decision maker in hydropower development in the country; 2) how hydropower development is perceived by those who will be most affected; and 3) how the two shape the localized dynamics in hydropower decision making, while also sheds light on some of the key gaps in hydropower decision-making landscape and processes. Viewing space as a process and a product of socio-political interface, it shows how local communities living along the Karnali River view the planned hydropower project differently, how these views are rooted in their relationship with the hydropower company, and how such relationship is predetermined by local communities’ bargaining power in relation to the proximity of their respective villages to the planned hydropower dam site, and vice versa. Unpacking the power relations shaping and reshaping spatial politics in hydropower decision making, it presents the concept of spatial alliances as a theoretical underpinning to unpack the question on why and how power relations emerge, are sustained and reproduced.
2 Taye, Meron Teferi; Haile, Alemseged Tamiru; Genet, A.; Geremew, Y.; Wassie, S.; Abebe, B.; Alemayehu, B. 2022. Data quality deterioration in the Lake Tana Sub-basin, Ethiopia: scoping study to provide streamflow and water withdrawal data. Colombo, Sri Lanka: International Water Management Institute (IWMI). 32p. (IWMI Working Paper 204) [doi: https://doi.org/10.5337/2022.208]
Hydrological data ; Data quality ; Lakes ; Stream flow ; Water extraction ; Monitoring ; Flow measurement ; Water level measurement ; Data collection ; Surface water ; Water availability ; Water use ; Irrigation schemes ; Small scale systems ; Water supply ; Urban areas ; Rural settlement ; Drinking water ; Domestic water ; Industry ; Hydropower ; Livestock ; Rainfed agriculture ; Irrigated farming ; Farmer-led irrigation ; Water resources ; Water management ; Planning ; Stakeholders ; Partnerships ; River basin institutions ; Data management ; Alliances ; Climatic data ; Models / Ethiopia / Abbay Basin / Lake Tana Sub-Basin / Gilgel Abay River / Gumara River / Ribb River
(Location: IWMI HQ Call no: IWMI Record No: H051149)
(3.63 MB)
This working paper was prepared under a research project from the Future Leaders – African Independent Research (FLAIR) fellowship programme – focusing on understanding hydrological changes in the Lake Tana sub-basin, Ethiopia, due to water abstraction, land use and climate change. FLAIR is funded by the UK government’s Global Challenges Research Fund (GCRF) through The Royal Society, UK. The study was jointly conducted by the International Water Management Institute (IWMI) and staff of the Abbay Basin Development Office (ABDO). The paper provides information on the deterioration of streamflow data quality in the sub-basin. It demonstrates how to support the sub-basin by generating primary data and compiling current water abstraction data that are relevant for development planning. The project showed the possibility of conducting such activities with limited financial resources and time constraints but with strong collaboration. This work also demonstrated the need for a data alliance among stakeholders in the sub-basin.
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