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Impact of household electricity theft and unaffordability on electricity security: A case of Uganda

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  • Wabukala, Benard M.
  • Mukisa, Nicholas
  • Watundu, Susan
  • Bergland, Olvar
  • Rudaheranwa, Nichodemus
  • Adaramola, Muyiwa S.

Abstract

Renewable energy sources (RES) dominance in Uganda's electricity mix is challenged by affordability and theft. To assess electricity affordability, the study proposed a probabilistic method to quantify the households into different electricity categories for both urban and rural areas. Alternative electricity billing schemes based on Scenarios A to D for the households to enhance legal connection and consumption of electricity were proposed. The study established that the utility registers the highest electricity theft losses in rural households. The monthly utility revenue collected in urban areas was about 2.9 times that collected in rural areas because of the higher number of legally connected households with a monthly consumption of 1.5 times than that of rural households. From the monthly income spendable on electricity, rural and urban households could only afford 25.07 kWh and 38.29 kWh, respectively, which are less than the average household electricity consumption for Uganda. Also, the initial connection fee to the power grid is very high for the households to afford it in a single down payment. Of the proposed alternative billing schemes, Scenario B and Scenario D yield the least monthly utility revenue collected for the urban and rural households, respectively.

Suggested Citation

  • Wabukala, Benard M. & Mukisa, Nicholas & Watundu, Susan & Bergland, Olvar & Rudaheranwa, Nichodemus & Adaramola, Muyiwa S., 2023. "Impact of household electricity theft and unaffordability on electricity security: A case of Uganda," Energy Policy, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:enepol:v:173:y:2023:i:c:s0301421522006309
    DOI: 10.1016/j.enpol.2022.113411
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    References listed on IDEAS

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    1. Depuru, Soma Shekara Sreenadh Reddy & Wang, Lingfeng & Devabhaktuni, Vijay, 2011. "Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft," Energy Policy, Elsevier, vol. 39(2), pages 1007-1015, February.
    2. Yurtseven, Çağlar, 2015. "The causes of electricity theft: An econometric analysis of the case of Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 70-78.
    3. Benedict Belobo Ateba & Johannes Jurgens Prinsloo, 2018. "The Electricity Security in South Africa: Analysing Significant Determinants to the Grid Reliability," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 70-79.
    4. Ahmad, Tanveer, 2017. "Non-technical loss analysis and prevention using smart meters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 573-589.
    5. Moussa P. Blimpo & Malcolm Cosgrove-Davies, 2019. "Electricity Access in Sub-Saharan Africa [Accès à l’électricité en Afrique subsaharienne]," World Bank Publications - Books, The World Bank Group, number 31333.
    6. Jamil, Faisal & Ahmad, Eatzaz, 2019. "Policy considerations for limiting electricity theft in the developing countries," Energy Policy, Elsevier, vol. 129(C), pages 452-458.
    7. Neelawela, U.D. & Selvanathan, E.A. & Wagner, L.D., 2019. "Global measure of electricity security: A composite index approach," Energy Economics, Elsevier, vol. 81(C), pages 433-453.
    8. Arthur, Maria de Fátima S.R. & Bond, Craig A. & Willson, Bryan, 2012. "Estimation of elasticities for domestic energy demand in Mozambique," Energy Economics, Elsevier, vol. 34(2), pages 398-409.
    9. Mukisa, Nicholas & Zamora, Ramon & Lie, Tek Tjing, 2021. "Viability of the store-on Grid Scheme model for grid-tied rooftop solar photovoltaic systems in Sub-Saharan African countries," Renewable Energy, Elsevier, vol. 178(C), pages 845-863.
    10. Otuoze, Abdulrahaman Okino & Mustafa, Mohd Wazir & Abdulrahman, Abdulhakeem Temitope & Mohammed, Olatunji Obalowu & Salisu, Sani, 2020. "Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure," Energy Policy, Elsevier, vol. 143(C).
    11. Adongo, Charles Atanga & Taale, Francis & Bukari, Shaibu & Suleman, Shafic & Amadu, Iddrisu, 2021. "Electricity theft whistleblowing feasibility in commercial accommodation facilities," Energy Policy, Elsevier, vol. 155(C).
    12. Arkorful, Vincent Ekow, 2022. "Unravelling electricity theft whistleblowing antecedents using the theory of planned behavior and norm activation model," Energy Policy, Elsevier, vol. 160(C).
    13. Gaur, Vasundhara & Gupta, Eshita, 2016. "The determinants of electricity theft: An empirical analysis of Indian states," Energy Policy, Elsevier, vol. 93(C), pages 127-136.
    14. Never, Babette, 2015. "Social norms, trust and control of power theft in Uganda: Does bulk metering work for MSEs?," Energy Policy, Elsevier, vol. 82(C), pages 197-206.
    15. Tourkolias, C. & Mirasgedis, S. & Damigos, D. & Diakoulaki, D., 2009. "Employment benefits of electricity generation: A comparative assessment of lignite and natural gas power plants in Greece," Energy Policy, Elsevier, vol. 37(10), pages 4155-4166, October.
    16. Trimble,Christopher Philip & Kojima,Masami & Perez Arroyo,Ines & Mohammadzadeh,Farah, 2016. "Financial viability of electricity sectors in Sub-Saharan Africa : quasi-fiscal deficits and hidden costs," Policy Research Working Paper Series 7788, The World Bank.
    17. Mukisa, Nicholas & Manitisa, Mele Sikimeti & Nduhuura, Paul & Tugume, Erick & Chalwe, Chanda Karen, 2022. "Solar home systems adoption in Sub-Saharan African countries: Household economic and environmental benefits assessment," Renewable Energy, Elsevier, vol. 189(C), pages 836-852.
    18. Yakubu, Osman & Babu C., Narendra & Adjei, Osei, 2018. "Electricity theft: Analysis of the underlying contributory factors in Ghana," Energy Policy, Elsevier, vol. 123(C), pages 611-618.
    19. Faisal Jamil & Eatzaz Ahmad, 2014. "An Empirical Study of Electricity Theft from Electricity Distribution Companies in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(3), pages 239-254.
    20. Larsen, Erik R. & Osorio, Sebastian & van Ackere, Ann, 2017. "A framework to evaluate security of supply in the electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 646-655.
    21. Jamil, Faisal, 2018. "Electricity theft among residential consumers in Rawalpindi and Islamabad," Energy Policy, Elsevier, vol. 123(C), pages 147-154.
    22. Smith, Thomas B., 2004. "Electricity theft: a comparative analysis," Energy Policy, Elsevier, vol. 32(18), pages 2067-2076, December.
    23. Ikpe, Eka & Torriti, Jacopo, 2018. "A means to an industrialisation end? Demand Side Management in Nigeria," Energy Policy, Elsevier, vol. 115(C), pages 207-215.
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