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The purpose of this study is to examine the effect of asymmetric structure inherent in exchange rate volatility on trade in sub-Saharan African countries from 2005 to 2017.

17 countries in sub-Saharan African Countries are used for the study. Exchange rate volatility is generated using generalised autoregressive conditional heteroscedacity (1,1), while the asymmetric components of exchange rate volatility are generated using a refined approach of cumulative partial sum developed by Granger and Yoon (2002). Two-step generalised method of moments is used as the estimation technique in order to address the problem of endogeneity, commonly found in panel data.

The result from the study shows the evidence of exchange rate volatility clustering which is strictly persistent in sub-Saharan African countries. The asymmetric components (positive and negative shocks) of exchange rate volatility have negative and significant effect on trade in the region. Meanwhile, the effect of negative exchange rate volatility is higher on trade when compared with the positive exchange rate volatility. Furthermore, real exchange rate has negative and significant effect on trade in sub-Saharan African countries.

The outcomes of this study are important for participants in foreign exchange market. As investors in foreign exchange market react more to the negative news than positive news, investors need to diversify their risk. Also, regulators in the market need to formulate appropriate macroeconomic policies that will stabilize exchange rate in the region.

This study deviates from extant studies in the literature by incorporating asymmetric structure into the exchange rate trade nexus using a refined approach.

Driven by the Sustainable Development Goals (goals 7, 8, 12 and 13), this study investigates the moderating role of financial development in the link between energy poverty and a sustainable environment in African nations.

Panel cointegration analysis, fully modified least squares, Driscoll and Kraay least squares and method of moments quantile regression were used as estimation techniques to examine the link between financial development, energy poverty and sustainable environment for 28 African nations. Energy poverty is measured using two proxies-access to clean energy and access to electricity, while the environment is gauged using ecological footprint.

The regression outcomes show that access to clean energy and electricity negatively impacts the ecological footprint across all the quantiles; hence, energy poverty increases environmental degradation. Financial development positively influences environmental degradation in the region at the upper quantiles. Similarly, the interactive term of energy poverty and financial development has a significant positive impact on ecological footprint; thus, the financial sector adds to energy poverty and environmental degradation. The results of other variables hint that per capita income and institutions worsen environmental quality while urbanisation strengthens the environment.

This study offers fresh insights into the moderating effect of financial development in the link between energy poverty and sustainable environment in African countries.

The purpose of this examine the impact of income inequality and shadow economy on environmental degradation given the growing income inequality, shadow economy and ecological degradation in developing countries. Thus, this study is motivated to offer empirical insight into how income inequality and shadow economy influence the environment in African countries.

Data from 29 countries in Africa between 2000 and 2017 were used, while the novel method of moments quantile regression of Machado and Silva (2019) and Dumitrescu and Hurlin (D-H) (2012) granger causality is used as the estimation techniques.

The results established the presence of cross-sectional dependence and slope heterogeneity in the panel, while Westerlund panel cointegration confirmed the long-run cointegration among the variables. The results from the quantile regression suggest that income inequality increases environmental degradation from the 5th to the 30th quantiles, while from the 70th quantiles, income inequality reduces ecological degradation. The shadow economy negatively influences environmental degradation across the quantiles, strengthening environmental quality. Per capita income (economic growth) and financial development positively impact environmental degradation throughout the quantiles. However, urbanization reduces environmental degradation from 60th to 95th quantiles. The D-H causality established a two-way relationship between income inequality and environmental degradation, while one-way from shadow economy, per capita income and urbanization to environmental degradation were established.

This study provides fresh insights into the nexus between shadow economy and environmental quality in the presence of higher levels of income inequality for the case of African region. The study applies quantile analysis via moment proposed by Machado and Silva (2019). This technique shows that the impact of income inequality and shadow economy on environmental degradation is heterogeneous across the quantiles of ecological footprints in Africa.

Several studies have examined the effect of formal economy (usually proxy by economic growth) on environmental quality; however, the symmetric and asymmetric impact of the informal economy on environmental quality has not been examined in Nigeria. Therefore, this study aims to explore the short- and long-run (a)symmetric effect of formal and informal economies and financial development on Nigeria’s environmental quality between 1984 and 2017.

The study uses ecological footprint to measure environmental quality. An increase in ecological footprint suggests a fall in environmental quality. Informal economy is calculated as a percentage of GDP using the currency demand approach. Autoregressive distributed lag (ARDL), nonlinear ARDL cointegration framework and vector error correction granger causality are used as estimation techniques.

The study’s outcomes establish the existence of asymmetric structure in the link between economic activities and the environment both in the short and long run. The asymmetric results reveal that positive and negative changes in the formal economy increase the ecological footprint in both periods. Hence, activities in the formal economy reduce environmental quality. On the other hand, positive and negative changes in the informal economy only positively influence the ecological footprint in the long run. In contrast, it negatively impacts the ecological footprint in the short run. This suggests that activities in the informal economy worsen the long-run environmental quality. Financial development has a positive influence on the ecological footprint, thus degrading the environmental quality. Furthermore, in the short run, a unidirectional relationship from the formal economy to the ecological footprint, while a bidirectional causality exists between informal and formal economies. Meanwhile, a unidirectional causality from the (in)formal economies and financial development to the ecological footprint was found in the long run.

The outcome of this study shows that both informal and formal economies contribute to ecological footprint; therefore, mainstreaming the informal economy into the formal economy will further increase the problem of environmental degradation and worsen environmental quality.

The study investigates the symmetric and asymmetric effect of formal and informal economies on environmental quality in Nigeria, which is largely missing in the empirical literature.

Motivated by the 2030 UN Sustainable Development Goals (SDG-7: clean and affordable energy, SDG-8: sustainable economic growth, SDG-13: climate action), this study aims to investigate the role of economic complexity, disaggregated energy consumption in addition to economic growth, financial development, globalization and urbanization on the ecological footprint of United Arab Emirates (UAE).

This study adopts unit root tests (with and without a structural break), autoregressive distributed lag (ARDL) bounds test and dynamic ordinary least squares.

The results obtained from the ARDL model suggest that economic complexity (EC), nonrenewable energy and economic growth increase the ecological footprint in both the short and long run, thus deteriorating the environment. However, renewable energy and urbanization reduce the ecological footprint in UAE during the two periods, thus improving environmental quality. Globalization and financial development have different influences on ecological footprint during these periods. These findings are robust to other estimation techniques.

Based on these results, this study offers significant policy implications such as increasing renewable energy supply, particularly solar energy and aligning the product manufacturing structure and complexity toward producing environmentally friendly products which can be used to realize the nation’s agenda of reducing fossil fuels consumption to 38% by 2050 and achieving sustainable environment and growth.

This study provides an empirical attempt to investigate the influence of EC and renewable and nonrenewable energy on the ecological footprint of the UAE.

Motivated by the conflicting evidence on the effect of financial development on environmental quality, this study investigates the moderating role of institutional quality in the link between financial development and environmental quality using a robust proxy in Malaysia from 1984 to 2017.

Ecological footprint is used to measure environmental quality, while financial development is proxied using three measures (domestic credit provided by the private sector, domestic credit provided by the financial sector and domestic credit provided by the banking sector). An index of institutional quality is generated from voice and accountability, government effectiveness, regulatory quality, rule of law and control of corruption. Autoregressive Distributed Lag Bounds Test, Fully Modified Ordinary Least Square and Canonical Cointegrating Regression were used as the estimation techniques.

The results show that financial development, institutional quality, economic growth and foreign direct investment improve environmental quality in the short run, whereas trade openness and natural resources worsen it. In the long run, financial development, institutional quality, economic growth, trade openness and natural resources deteriorate the environment. Furthermore, findings from the interactive term suggest that institutions and financial development complement each other to affect the environment in the short run. However, institutions and financial development perform a substitutability role in influencing the environment in the long run.

The outcome of this study suggests that there are time lags in the relationship between institutional quality, financial development and ecological footprint in Malaysia. Furthermore, the study offers important policy implications to policymakers in Malaysia and other developing countries on how to mitigate environmental degradation.

This study contributes to the body of knowledge on the moderating role of institutional quality in the relationship between financial development and ecological footprint in Malaysia. It examines the direct and indirect effects of financial development on environmental degradation through institutional quality, which have received less attention in the context of Malaysia. The findings from this study are robust to different proxies and estimation techniques.

This study investigates the effect of shadow economy on environmental pollution and the role of institutional quality in moderating the impact in African countries between 1991 and 2015.

The study employs three pollutant variables namely: carbon dioxide emissions per capita, methane emission and nitrous oxide emission as robustness check. Also, battery of methodologies; ordinary least squares, fixed effects and system generalised method of moments are used to drive out the conclusions of this study.

The findings reveal that shadow economy and institutional quality contribute significantly to environmental pollution in Africa. Further, the interactive effect of shadow economy and institutional quality worsens environmental quality in the region. This reveals that weak institutional quality recorded in the region increases the level of shadow economy, thereby intensifying environmental pollution.

The study concludes that weak institutional framework in the region reinforces shadow economy and environmental pollution. Hence, findings from this study can help policymakers in the region to better understand the role of institutional quality in reducing shadow economy and environmental pollution.

This study enriches one’s understanding on the role of institutional quality in the relationship between environmental quality and shadow economy in African context. It investigates the direct and indirect impact of institutions and shadow economy on environmental quality. The study also uses three different robust variables to measure environmental pollution (carbon dioxide (CO₂) emissions per capita, methane emission and nitrous oxide emission) for sensitivity analysis.

This study examines the moderating role institutional quality plays in shadow economy–environmental pollution nexus in Nigeria between 1984 and 2018. Further, the study also determines the threshold level of institutional quality that lessens shadow economy and abates environmental pollution.

Shadow economy is measured as a percentage of gross domestic product (GDP) using the currency demand approach while environmental pollution is proxy by carbon dioxide (CO₂) per capita. Autoregressive distributed lag (ARDL) is used as the estimation technique.

Results from the study show that shadow economy has a positive and significant effect on environmental pollution both in the short and long run, while institutional quality has a negative effect on environmental pollution. This reveals that shadow economy worsens environmental quality while institutional quality abates environmental pollution. The interactive term of shadow economy with institutional quality has a negative but insignificant effect on environmental pollution in the long run. It implies that institutional quality is weak to bring about significant reduction in shadow economy and environmental pollution. Further, the threshold level of institutional quality required to lessen the effect of shadow economy and abate environmental pollution is found to be 5.69 on an ordinal scale of 0–10.

Institutional quality in Nigeria is weak and needs to be strengthened up to the threshold level in order to effectively moderate the impact of shadow economy on environmental pollution.

The study addresses the perceived gap in the empirical literature on the emerging role of strong institution in abating environmental pollution in Nigeria. It also develops a threshold level of institutional quality capable of mediating the negative impact of shadow economy on environmental pollution. This empirical contribution is largely missing in the context of Nigeria.

This paper investigates the (a)symmetric effects of financial development in the presence of economic growth, energy consumption, urbanization and foreign direct investment on environmental quality of South Africa between 1980 and 2017.

A robust measure of financial development is generated using banking institutions and non-banking institutions market-based financial development indicators, while environmental quality is measured using carbon footprint, non-carbon footprint and ecological footprint. The objectives of the study are captured using linear and non-linear autoregressive distributed lag.

The result from the symmetric analysis suggests that financial development stimulates carbon footprint and ecological footprint in the short run; however, financial development abates non-carbon footprint. In the long run, financial development has a significant negative effect on carbon footprint and ecological footprint. However, the asymmetric analysis established strong asymmetric effect in the short run, while no asymmetric effect is found in the long run. The short run asymmetric analysis reveals that positive shock in financial development increases carbon footprint and ecological footprint; however, positive changes in financial development reduce non-carbon footprint. Negative shocks in financial development, on the other hand, have a positive impact carbon footprint, non-carbon footprint and ecological footprint.

The study's outcome implies that the concept of “more finance, more growth” could also be applied to “more finance, better environment” in South Africa. The study offers vital policy suggestions for the realization of sustainable development in South Africa.

This empiric adds to the body of knowledge on the influence of financial development on various components of environmental quality (carbon footprint, non-carbon footprint and ecological footprint) in South Africa.

The purpose of this study is to examine institutional quality’s absorptive capacity in African countries’ remittances-finance nexus.

A balanced panel data set of thirty African countries between 2000 and 2022 is used for the study. The study adopts an augmented mean group (AMG), method of moment quantile regression (MMQR) and two-step system generalized method of moment (2SGMM) as the estimation techniques due to the nature of the data set.

The findings of the direct effect reveal that remittances do not constitute the growth of financial development, while institutional quality promotes the growth of financial development in the long. The moderating effect of institutional quality in the linkages shows that the interactive term of institutional quality and remittances has a significant positive effect on financial development in the region. Hence, institutional quality moderates the impact of remittances. These results are robust to different proxies of financial development and estimates obtained from MMQR and 2SGMM.

This study, therefore, suggests that institutional quality is essential in the linkages between remittances and financial development. Hence, remittances should be seen as one of the instruments that can be used to develop the financial sector rather than survival mechanisms for households.

This study contributes to the literature by unearthing the absorptive capacity of institutional quality in the nexus between remittances and financial development in African countries, which extant studies have neglected.