Addressing the worsening urban air quality situation in Sub-Saharan Africa (SSA) is proving increasingly difficult owing to paucity of data on air pollution levels and also, lack of local evidence on the magnitude of the associated health effects. There is therefore the urgent need to expand air quality monitoring (AQM) networks in SSA to enable the conduct of high quality epidemiologic studies to help inform policies aimed at addressing air pollution and the associated health effects. In this commentary, I explore the prospects that the proliferation of low-cost sensors in recent times holds for air pollution epidemiologic research in SSA. This commentary is timely because most SSA governments do not see investments in air pollution control that requires assembling a network of sophisticated and prohibitively expensive instrumentation for AQM as necessary for improving and protecting public health. I conclude that, in a region that is bereft of air pollution data, the growing influx of low-cost sensors represents an excellent opportunity for bridging the data gap to inform air pollution control policies and regulations for public health protection. However, it is essential that only the most promising sensor technologies that performs creditably well in the harsh environmental conditions of the region are promoted.

This study examines the convergence in renewable energy consumption over the period 2000–2018 by using a convergence algorithm developed by Phillips and Sul. We used 183 countries which were sub-divided into five regions, namely: Sub-Saharan Africa (SSA); Middle East and North Africa (MENA); Europe and Central Asia (ECA); East and South Asia and the Pacific (ESAP); and America. The possible influencing determinants of the convergence/divergence clubs for the regions were also investigated by utilising multinomial logit regression. The determinants were majorly classified into macroeconomic, socio-economic, and institutional quality variables, which were computed via principal component analysis by using six governance indicators. The results show an absence of panel convergence and a weak speed of convergence for the regions. The final club formation results obtained from the iteration procedure show that 6 clubs (for SSA), 2 (for MENA and ECA), 5 (for ESAP), and 3 (for America) were formed for the regions. The determinants of renewable energy consumption play both significant and insignificant roles in the likelihood of a country belonging to a particular convergence club in each of the regions. This study found that at the regional level, the process of convergence in renewable energy consumption is yet to echo desirable emanations of renewable energy consumption policies sharing similar characteristics, but the narrative differs when clustering algorithms form clubs for each region. This implies that at regional levels, achieving convergence clubs in renewable energy consumption for environmental sustainability is possible, most especially when realistic policies around macroeconomic, socio-economic and institutional quality variables are taken into account.

Climate-smart agriculture (CSA) is a new agricultural development pattern to address future food crises. Since CSA was proposed in 2010, it has attracted the attention of scholars from all over the world. It is of great significance to scientifically summarize the overview and emerging trends of CSA research, providing ideas for scholars concerned about CSA to engage in research in this field. Based on bibliometrics and CSA-related literature data in the WOS database, this paper used CiteSpace software to draw knowledge maps to scientifically analyze publications in the field of CSA. Our study found that (1) CSA research is showing a rapid upward trend, focusing on the environmental sciences and agricultural economic management; (2) international organizations such as the FAO, World Bank, and the international agricultural research institute have made significant contributions to CSA research; (3) among the nine clusters in the CSA literature, CSA practice, conservation agriculture, smallholder farmers, and sub-Saharan Africa have been consistently given high attention; (4) CSA research can be divided into three phases, and the research hotspots have transferred from essential elements of CSA to household and carbon emissions. We believe that in future research, more attention should be paid to the trade-off and synergy of the three pillars of CSA, as well as the investment, finance, and evaluation criteria of CSA. Such strengthening is of great significance to the sustainable promotion of CSA.

Even though the ecological transition is considered the next big challenge for Africa, few studies have examined its scope regardless of the massive financing that is required and the stakes on other sectors. This study analyzes the links between financial development, ecological transition, and economic growth in Sub-Saharan Africa from 1980 to 2019. The Dumitrescu and Hurlin causality tests, Pedroni and Westerlund cointegration, and the Augmented Mean Group algorithm are applied on a sample of forty-eight countries. The findings support that institutional quality and human capital are crucial, but their effects can only be observed in high-income and upper middle-income countries. The level of economic development matters, and there is a threshold beyond which the effects of renewable energies and human capital occur on the performance of the financial system. Trade openness and investments seem also to be positive and significant on ecological transition only in these countries. Furthermore, there is substitutability between non-renewable and renewable energy consumption in these countries, while in lower middle-income and low-income countries, there is complementarity. The study concludes by highlighting key policy recommendations to sustain ecological transition.

The intensification of international trade movements and economic interconnectivity has far-reaching implications for many macroeconomic indicators, not to mention ecological consequences. To this end, this analysis examines the dynamic interaction between foreign direct investment (FDI), natural resources, economic advancement, and urbanization on consumption-based carbon emission which is adjusted to global trade for oil-producing Sub-Saharan Africa countries. The time frame for this analysis is from 1990 to 2018. To examine the nature of relationship between the outlined variables, a balanced panel econometric analysis alongside augmented mean group (AMG), common correlated effect mean group (CCEMG), and the Driscoll-Kraay(DK) OLS techniques while the system-GMM was utilized for robustness purposes. The outcomes reveal that income increases consumption-based carbon emission within the range of 0.668 to 1.1333%; natural resources also increase consumption-based carbon emission within the range of 0.0159 to 0.2304%; FDI on the other hand increases consumption-based carbon emission around 0.0156 to 0.186%, while urbanization increases consumption-based carbon emission within the range of 0.0231 to 0.6176% in the long run. Thus, there is a positive relationship between consumption-based carbon emission and all the understudied variables within the oil-producing Sub-Sahara Africa countries thereby affirming the pollutant haven hypothesis for the countries on the premises that foreign direct investment inflow has a detrimental influence on the receiving economies alongside natural resource. Hence, the outcomes suggest the need to pursue low-carbon strategies for a cleaner and friendly environment.

This study analyzed the nexus between financial development (FD, and its key dimensions), economic growth, and carbon dioxide (CO₂) emissions for 37 Sub-Saharan African (SSA) countries from 2000 to 2016. The data sources include the world development indicators, the IMF financial development, and the Maddison Project databases. The empirical strategy involved checking for cross-sectional dependence, causality, and regressions analysis using second-generation analytical techniques. The regression analysis technique was the pooled mean group ARDL estimator. The dynamic generalized method of moment estimator was used to provide robustness checks. The findings indicate that overall FD reduces CO₂ emissions in the region and supports the environmental Kuznets curve (EKC) hypothesis. Specifically, the results reveal that a 1 unit increase in the overall FD index results in a 2.867% reduction in CO₂ emissions over the long run. The coefficient of the speed of adjustment is found to be approximately negative 41% and statistically significant, which suggests that approximately 41% disequilibrium in carbon emissions is adjusted back to long-run equilibrium within a year. The Granger causality test indicates a bi-directional causality between FD and CO₂ emissions. Additional research of the critical financial subsectors for low-carbon growth suggests that the financial market index, including its access and efficiency dimensions, has a considerable CO₂ emission reduction effect. On the other hand, the financial institution index has no discernible effect, even though its access and depth dimensions contribute to CO₂ emission reductions.

In sub-Saharan Africa, economic expansion and its environmental implications have become major problems. The banking system has been described as a mechanism for decoupling economic expansion from environmental implications. However, the function of bank financing in the growth-environmental consequences in SSA remains undeveloped. This study investigated the role of bank financing in economic growth and environmental outcomes in SSA over the period 1990–2018. We implemented the novel panel quantile regression and panel vector autoregressive models in a generalized method of moments’ framework to investigate the influence of bank financing on economic growth and carbon emissions, and the moderating effect of bank financing in growth-environmental consequences among the four regional economies in SSA. The empirical results revealed that bank financing (1) increases economic growth and carbon emissions across quantiles; (2) positively influences economic growth and carbon emissions of East and Central African regions but negatively influences economic growth and carbon emissions of the West African region; (3) mitigates growth-emissions outcomes of low-emission countries but worsens growth-emissions outcomes of median and high emission countries; and (4) worsens growth-emissions outcomes of East and Central African regions but mitigates growth-emissions outcomes of Southern and West African sub-regions. The variance decomposition and impulse response results discovered that the role of bank financing in growth-environmental challenges varies in terms of magnitude and elasticities across the sub-regions over the sampled period. The study also revealed mixed findings regarding the existence of the EKC hypothesis for the sub-regional economies in SSA.

Over the past two decades, global CO₂ emissions have dramatically increased. In this context, this research aims to investigate a novel interaction between energy use, industrialization, and CO₂ emissions as well as examine the underlying causal pathways with the implementation of more robust econometric methods to achieve valid and reliable results. Using estimation methods of AMG, CCEMG, and DCCEMG, this study shows that in the long-term energy use, industrialization, urbanization, and fossil fuel consumption have a non-significant positive impact on CO₂ emissions for SSA countries with the exception of energy use depicting a significant impact. The documented results and findings are robust as compared to other studies. Furthermore, the study portrays the causal front as a bi-directional causal pathway between CO₂ emissions, energy use, industrialization, and fossil fuel consumption with a uni-directional causal route to urbanization. Many of the variables are held to be causative agents of one another. The study suggests that policies that promote energy conservation and reduce CO₂ emissions can be useful in achieving a lower emission rate. Policymakers and corporations should also abide by the laws and regulations on emissions mitigation. Companies need to invest in R&D as much as governments encourage business growth and development to help minimize emissions and degrade the environment. Similarly, the government should empower industries and households to acquire emission-reduction machinery.

The present study provides a macro-level framework for gender issues and their link to energy policies and environmental quality, in line with the sustainable development goals (SDG). It examines the relationship between environmental sustainability, gender equality in education, energy consumption, and sub-Saharan Africa’s income by using cointegration analysis and autoregressive distributed lag (ARDL) method. The study’s estimation results are consistent with the Environmental Kuznets Curve (EKC) hypothesis and policy actions suggested by eco-feminist theories in both the short-run and long-run and show that gender equality in education has positively related to environmental sustainability in sub-Saharan Africa.

The utilization of economic capabilities to raise production in the economy enhances the industrial activities and use of transportation. These activities deteriorate the quality of the environment and raise the level of particulate matter (PM₂.₅). The objective of this study is to investigate the impact of economic capabilities and population agglomeration on PM₂.₅ emissions for the sample of 23 sub-Saharan African countries—a highly polluted region of the world. The study used panel regression from 2007 to 2015 and found that production capabilities are highly significant and directly effecting PM₂.₅ emissions. The Kuznets hypothesis does not hold in this region, and the concentration of population in urban areas is also significant. To avoid the problem of possible endogeneity in the empirical model and for robustness check, the study also utilized system GMM and found consistent results. The findings of the study are highly valuable to reduce PM₂.₅ and propose that the policymakers in Sub-Saharan African countries should opt for industrial specialization rather than economic complexity and ensure that the proper measures are taken to control PM₂.₅. Moreover, population concentrations should not be taken place in a few main urban cities.