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The study examines the role of natural resources (NRs) and energy consumption in managing the climate crisis in Africa, using annual series data from the World Bank from 1980 to 2019.

The empirical strategy is based on the second-generation panel techniques that account for cross-sectional dependency in the series. Specifically, the empirical evidence is based on the Westerlund (2017) panel cointegration test, panel augmented mean group, common correlated effects mean group and the vector autoregressive (VAR)-vector error correction (VEC) approaches.

Evidence from the panel analysis confirmed the existence of Carbon Kuznets Curve (CKC) U-shaped nexus in Africa, but the country-level results are mixed. Furthermore, results using the VAR-vector correction model indicate possible convergence among the variables across the African countries. NR unidirectionally Granger-causes carbon emissions. The authors suggest the consideration of environmental factors in the utilisation of NRs. Similarly, energy efficiency is crucial to decouple carbon from energy usage.

The study complements the extant literature by assessing the role of NRs and energy consumption in managing climate crisis in Africa.

This paper provides an analysis of the energy-carbon Kuznets curve hypothesis (CKC) using a second-generation panel methodology.

Specifically, the authors investigate whether energy consumption, natural resources and governance explain the CKC proposition. The study’s empirical strategy is based on the Westerlund panel cointegration test, augmented mean group (AMG) and vector autoregressive (VAR) panel Granger-causality tests.

The results suggest that the CKC hypothesis is incomplete without these mechanisms, as they play a critical role in reducing carbon emissions in Africa. The authors recommend improving the environmental standards and proper regulatory and monitoring systems to reduce carbon emissions and promote sustainable development in the continent.

The study revisits the CKC hypothesis with particular emphasis on governance and more robust empirical estimation techniques.

This study aims to explore whether globalization and technology are harmful to health using a global panel data set of 52 countries over the period 1990–2019.

The study focused on four continents: Africa, the Americas, Asia/Oceania and Europe. The authors used four advanced econometric methodologies, which include the standard panel fixed effect (FE), Arellano–Bover/Blundell–Bond dynamic panel, Hausman–Taylor specification and two-stage least squares (FE-2SLS)/Lewbel-2SLS approaches.

The empirical evidence highlights the significance of globalization and technology in promoting global health. The findings suggest that globalization has various impacts on global health indicators and that technology is useful in tracking, monitoring and promoting global health. In addition, the empirical evidence indicates that a truly health-centred process of globalization and technological innovation can only be realized by ensuring that the interests of countries and vulnerable populations to health risks are adequately considered in international decision-making regarding global economic integration.

The authors suggest that achieving the aspiration of global health will entail the use of globalization and information technology to extend human activities and provide equal access to global health.