Browsing by Author "Ssennono, Vincent Fred"

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    Climatic shocks and multidimensional energy poverty in Ugandan households: does women empowerment play a moderating role?
    (International Journal of Sustainable Energy,, 2023-02-23) Ssennono, Vincent Fred; Ntayi, Joseph M.; Buyinza, Faisal; Wasswa, Francis; Aarakit, Sylvia Manjeri
    This study examines the effect of climatic shock and women empowerment on multidimensional energy poverty using panel data from Uganda National Panel Surveys from 2013/14–2019/20, complemented by the World Bank African Rainfall Climatology version 2 (ARC2) database. We find that climatic shocks increase energy poverty. However, there is great potential in energy poverty alleviation when women are more empowered in relation to men, but it is even greater when both genders are empowered in the same household amidst climatic shocks. Combating the impacts of drought, floods, landslides, and irregular rainfall while enhancing women's economic empowerment avenues should be a priority on the policy agenda for multidimensional energy poverty alleviation in Uganda.Highlights Energy poverty is assessed using a multidimensional approach. Four waves of the Uganda National panel survey and weather data were used Climatic shocks increase energy poverty. Women empowerment reduces energy poverty amidst climatic shocks, more so when both genders are empowered in the same household.
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    Energy poverty in Uganda: Evidence from a multidimensional approach
    (Energy Economics, 2021) Ssennono, Vincent Fred; Ntayi, Joseph M.; Buyinza, Faisal; Wasswa, Francis; Manjeri Aarakit, Sylvia; Ndatira Mukiza, Chris
    Energy poverty measurement has taken various approaches with the most preferred being Multidimensional in nature. This paper augments the multidimensional energy poverty measurement to estimate a national multidimensional energy poverty index for Uganda. It applies the M-Gamma method on data from the 2018 National Electrification Survey (NES) which captures various aspects of energy poverty. Results show that, 66% of Ugandans are multidimensionally energy poor, 33% are severely energy poor and the average deprivation score is 51%. The multidimensional energy poverty index for Uganda (MEPI-U) is estimated at 0.33. Implying that, the proportion of the population that is multidimensionally energy poor is deprived in five or more indicators at the same time. This paper’s computed MEPI-U suggests that, exclusion of context specific indicators over estimates multidimensional energy poverty. Further, results show that energy poverty does not follow a uniform distribution, the M-Gamma approach reveals high inequality distribution by residence, gender and regional location. Policies that seek to alleviate the energy deficit in Uganda should be multidimensional, comprehensive and should take into account energy poverty differences across subgroups. Affirmative action interventions targeting the rural areas should continue to be prioritized.