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Barriers and Policy Solutions for Off-Grid Energy Development: Evidence from a Comparative Survey of Private Sector Developers in Eastern Africa

Authors: Jeuland, Marc; D. Beyene, Abebe; Babyenda, Peter; Hinju, Gabriel; Mulwa, Richard; Phillips, Jonathan; A. Zewdie, Samuel;

Barriers and Policy Solutions for Off-Grid Energy Development: Evidence from a Comparative Survey of Private Sector Developers in Eastern Africa

Abstract

Off-grid solutions with falling costs and maturing business models could fulfil the energy needs of remote low-income communities. Yet, numerous barriers impede their implementation and understanding perceptions of key barriers and opportunities among private developers remains limited. Survey data from nearly 200 companies in Ethiopia, Kenya, Tanzania, and Uganda reveal common and differentiated challenges within and across countries and different types of firms, as well as important trade-offs in regulatory designs and support for the sector. While the policy climate makes a big difference in the perceptions of opportunities and barriers, companies' preferences regarding tariffs, grid encroachment, and licensing alternatives differ according to their business models, which challenges construction of simple and workable solutions. Achieving SDG7 (sustainable, modern, affordable, and reliable energy for all) needs more policy attention.

This material has been produced under the Climate Compatible Growth (CCG) programme. CCG brings together leading research organizations and is led out of the STEER centre, Loughborough University. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies.

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subsidies, tariffs, off-grid, regulation, financing

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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