Publication:
Identifying high-priority impact areas for electricity service to farmlands in Uganda through geospatial mapping

dc.contributor.authorShirley, Rebekah
dc.contributor.authorLiu, Yifei
dc.contributor.authorKakande, Josephine
dc.contributor.authorKagarura, Mark
dc.date.accessioned2024-06-28T06:35:33Z
dc.date.issued2021-09-01
dc.description.abstractThis article explores the food-energy nexus in sub–Saharan Africa by studying opportunities for improved agricultural productivity through electricity access. The study fills an acknowledged data gap by using geospatial analysis to identify priority areas for serving on- and near-farm electricity demand, using maize and coffee farming in Uganda as a case study. We use publicly available data on electrification infrastructure and crop statistics along with a select portfolio of variables, to identify areas where least-cost electricity delivery models intersect with agricultural needs, thereby highlighting target areas for further investigation. These findings are validated by community surveys in a key farming district. The analysis finds significant areas of underserved staple and cash crop farmlands can be served through grid and mini-grid electricity access within the next ten years. Such framing provides a useful lens for informing near-term interventions, and the paper concludes with practical recommendations.
dc.description.sponsorshipStichting Doen Foundation; Makerere University
dc.identifier.citationShirley, R., Liu, Y., Kakande, J., & Kagarura, M. (2021). Identifying high-priority impact areas for electricity service to farmlands in Uganda through geospatial mapping. Journal of Agriculture and Food Research, 5, 100172.
dc.identifier.urihttps://doi.org/10.1016/j.jafr.2021.100172
dc.identifier.urihttps://repository.nrf.go.ke/handle/123456789/999
dc.language.isoen
dc.publisherElsevier
dc.subjectElectricity Access
dc.subjectAgricultural Productivity
dc.subjectSub-Saharan Africa
dc.titleIdentifying high-priority impact areas for electricity service to farmlands in Uganda through geospatial mapping
dc.typeArticle
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S2666154321000740-main.pdf
Size:
4.34 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:

Collections