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Our study provides fresh insights into FDI's impact on carbon emissions across 51 African nations. Analysing data from 1990 to 2021, we use ARDL estimates and wavelet coherence analysis. While ARDL shows insignificant cointegration for most countries, wavelet coherence reveals: (i) 17 countries with a positive FDI-emissions link, (ii) 16 countries with a negative association, and (iii) 18 countries with 'sign switching' nonlinear dynamics. With no clear regional patterns, our main policy implication stresses the need for aligning regional efforts, like AfCFTA, with tailored country-specific strategies to guide capital flows towards cleaner industries. We advocate for industry-level FDI data in Africa to pinpoint sectors needing monitoring for greener production. On the global policymaking level, we assert that FDI cannot significantly address climate justice for most African countries. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the study is to evaluate whether nighttime luminosity sourced from the Defense Meteorological Satellite Program-Operational Linescan System satellite sensors is a suitable proxy for measuring poverty in Africa. Design/methodology/approach: Our study performs wavelet coherence analysis to investigate the time-frequency synchronization between the nightlight data and "income-to-wealth" ratio for 39 African countries between 1992 and 2012. Findings: All-in-all, the authors find that approximately a third of African countries produce positive synchronizations between nighttime data and "income-to-wealth" ratio and hence conclude that most African countries are not at liberty to use nighttime data to proxy conventional poverty statistics. Originality/value: In differing from previous studies, the authors examine the suitability of nightlight intensity as a proxy of poverty for individual African countries using much more rigorous analysis. [ABSTRACT FROM AUTHOR]