The concept of energy security has become an increasingly challenging issue in Africa, forcing energy-deficient countries to forge mutual partnerships with energy sufficient countries to access it for their domestic consumption. This study formulates a composite index of energy security in Africa as well as evaluates its impacts and trends using a sample of 28 countries on the continent, during the 2000-2018 period by using a principal composite factor analysis (PCA), with the series of 13 variables. Further interpretation was carried out using these tests: Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's test of sphericity, Pearson correlation test, and Cronbach's alpha test. The key results show a trend of energy insecurity among the countries studied, as energy imports loads high in most countries as well as per capita emission, together with fossil fuel source consumption correlating high. These results validate the stark reality on the African continent. The inference from the results of the anaylsis conclude that the principal component analysis (PCA) results of the energy index were considered fit and reliable for the analysis, with the most important Cronbach's alpha test coefficient of 0.8797, far above the standard 0.6 model reliability level. Based on this study, the paper proffers there should be increased intra-regional trading of energy among the various power pools on the continent and increased regional renewable energy investments as well as investment in energy infrastructure, measures to reduce electricity system losses, environmental sustainability, and the adoption of energy in efficiency on the continent.

中文翻译：

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基于主成分分析的多维方法评估非洲的能源安全。

在非洲，能源安全的概念已成为一个越来越具有挑战性的问题，迫使能源匮乏的国家与能源充足的国家建立相互伙伴关系，以获取国内消费所需的能源。这项研究制定了非洲能源安全综合指数，并通过使用主要综合因素分析（PCA），使用2000年至2018年期间在非洲大陆上的28个国家/地区的样本，评估了其影响和趋势。 13个变量。使用以下测试进行了进一步的解释：采样是否足够的Kaiser-Meyer-Olkin度量以及球形度的Bartlett检验，Pearson相关检验和Cronbach的alpha检验。关键结果显示了所研究国家之间的能源不安全趋势，由于大多数国家的能源进口量以及人均排放量很高，而化石燃料源的消耗量也很高。这些结果证实了非洲大陆的严峻现实。分析结果的推断得出结论，认为能量指数的主成分分析（PCA）结果适合该分析，并且其最重要的Cronbachα测试系数为0.8797，远高于标准0.6模型的可靠性水平。根据这项研究，论文建议应增加非洲大陆各电力池之间的区域内能源贸易，并增加区域可再生能源投资以及能源基础设施投资，减少电力系统损失的措施，环境可持续性，