Datasets for a multidimensional analysis connecting clean energy access and social development in sub-Saharan Africa

Paola Casati; Magda Moner-Girona; Ibrahim Khaleel Shehu; Sandor Szabó; Godwell Nhamo

doi:10.1016/j.dib.2023.108948

Datasets for a multidimensional analysis connecting clean energy access and social development in sub-Saharan Africa

Data Brief. 2023 Feb 7:47:108948. doi: 10.1016/j.dib.2023.108948. eCollection 2023 Apr.

Authors

Paola Casati^{1

2}, Magda Moner-Girona¹, Ibrahim Khaleel Shehu³, Sandor Szabó¹, Godwell Nhamo⁴

Affiliations

¹ European Commission, Joint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
² University of Bari, Jonian Department of Law, Economics and Environment, Via Duomo 259, 74100 Taranto, Italy.
³ African Union Commission, African Union Headquarters, P.O. Box 3243, Roosvelt Street, W21K19,Addis Ababa, Ethiopia.
⁴ Institute for Corporate Citizenship, University of South Africa, P.O. Box 392. UNISA 0003, Pretoria, South Africa.

Abstract

In this article we present datasets used for the construction of a composite indicator, the Social Clean Energy Access (Social CEA) Index, presented in detail in [1]. This article consists of comprehensive social development data related to electricity access, collected from several sources, and processed according to the methodology described in [1]. The new composite index includs 24 indicators capturing the status of the social dimensions related to electricity access for 35 SSA countries. The development of the Social CEA Index was supported by an extensive review of the literature about electricity access and social development which led to the selection of its indicators. The structure was evaluated for its soundness using correlational assessments and principal component analyses. The raw data provided allow stakeholders to focus on specific country indicators and to observe how scores on these indicators contributed to a country overall rank. The Social CEA Index also allows to understand the number of best performing countries (out of a total of 35) for each indicator. This allows different stakeholders to identify which the weakest dimensions are of social development and thus help in addressing priorities for action for funding towards specific electrification projects. The data can be used to assign weights according to stakeholders' specific requirements. Finally, the dataset can be used for the case of Ghana to monitor the Social CEA Index progress over time through a dimension's breakdown approach.

Keywords: Clean energy; Electricity access; Multicriteria analysis; Social composite indicator; Sub-Saharan Africa; Sustainable development goals.