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 prioritised.

能源贫困衡量采取了多种方法，最优选的是多维性质。本文增加了多维能源贫困测量，以估计乌干达的国家多维能源贫困指数。它对 2018 年全国电气化调查 (NES) 的数据应用了 M-Gamma 方法，该数据捕获了能源贫困的各个方面。结果表明，66% 的乌干达人处于多维度的能源匮乏，33% 的人处于严重的能源匮乏，平均剥夺得分为 51%。乌干达的多维能源贫困指数 (MEPI-U) 估计为 0.33。这意味着，多维能源匮乏的人口比例同时被剥夺了五个或更多指标。本文计算的 MEPI-U 表明，排除环境特定指标超过估计的多维能源贫困。此外，结果表明能源贫困并不遵循均匀分布，M-Gamma 方法揭示了居住地、性别和区域位置的高度不平等分布。旨在缓解乌干达能源短缺的政策应该是多方面的、全面的，并且应该考虑到各个子群体之间的能源贫困差异。应继续优先考虑针对农村地区的平权行动干预措施。全面，并应考虑到不同亚组之间的能源贫困差异。应继续优先考虑针对农村地区的平权行动干预措施。全面，并应考虑到不同亚组之间的能源贫困差异。应继续优先考虑针对农村地区的平权行动干预措施。