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The study's objective is to examine the relevance of globalization in affecting the size of the shadow economy in selected African nations.

To do this, the authors employ the KOF globalization index and implement both static and dynamic common correlated mean group estimators on a panel of 24 African nations from 1995–2017. This technique accommodates the issue of cross-sectional dependence, sample bias and endogenous regressors. Panel threshold analysis is also conducted to establish the nonlinearity between globalization and the shadow economy. To examine the causality between the variables, the study employs Dumitrescu and Hurlin's panel causality test.

The results show that globalization reduces the size of the shadow economy. The results of the nonlinear analysis suggest a U-shaped relationship. Overall globalization has a threshold impact of 48.837%, economic globalization has 45.615% and political globalization has 66.661% while social globalization has a threshold value of 35.744%. The results of the panel causality show that there is a bidirectional causality between the two variables.

The results suggest that the government and other relevant authorities need to introduce capital controls and other policy measures to moderate the degree of social, political and cultural diffusion. Appropriate policies should be formulated to monitor the extent of African economic openness to other continents to maximize the gains from globalization.

Apart from being the first study in the African region that evaluates the relevance of globalization in controlling the shadow economy, it also analyzes the dynamics and threshold analysis between the two variables using advanced panel econometrics which makes the study unique. The study suggests that globalization tools are useful for affecting the size of the shadow economy in Africa. This study provides fresh empirical evidence on the impact of globalization on the shadow economy in the case of Africa.

Economic complexity reflects the nature of knowledge accumulated and technological capability of a nation. This study aims to evaluate the impact of economic complexity on entrepreneurship in selected African countries.

The study uses country’s level data of 18 countries covering a period of 2006–2017. Data are sourced from Massachusetts Institute of Technology’s Observatory of Economic Complexity database, World Bank’s Entrepreneurship Database and World Development indicators. To estimate models, the study uses panel-spatial correlation consistent, which is based on Driscoll and Kraay’s (1998) standard error, Method of Moments Panel Quantile regression proposed by Machado and Silva (2019) and instrumental variables estimation techniques.

The study’s findings are as follows. First, economic complexity improves entrepreneurship in Africa. Second, there is no evidence of nonlinear relationship between economic complexity and entrepreneurship for the case of African nations. The positive impact of economic complexity on entrepreneurship is persistent across all quantiles in the analysis. The empirical analysis suggests that the beneficial impact of African entrepreneurship is further strengthened by ethnic and religious diversity but reduced by weak political institutions.

This study stresses the role of economic complexity in the entrepreneurial activities. To the best of the authors’ knowledge, this is the first attempt to empirically provide insights on the important role of economic complexity on entrepreneurship in Africa.

This study aims to examine the effect of Chinese foreign direct investment (FDI) and trade on economic complexity in Africa.

Panel data from 34 African countries between 2003 and 2022 are used. This study analyzes the data using a two-stage least square proposed by Lewbel (2012) and Driscoll and Kraay (1998) estimator based on robust standard errors and panel quantile regression via moments proposed by Machado and Silva (2019).

The results show that Chinese FDI and trade effectively upgrade economic complexity in Africa. Also, there is an inverted-U-shaped relationship between Chinese trade and economic complexity, thus revealing evidence of the trade Laffer curve.

Despite the intense debate on the Chinese-African economic relationship, to the best of the authors’ knowledge, no known study has examined the implications of Chinese FDI and trade on economic complexity in Africa. Therefore, this study fills this lacuna found in the literature and suggests that Chinese FDI and trade are veritable tools for technology diffusion and innovation, which are capable of upgrading economic complexity in Africa. However, the Chinese-African trade relationship should be complemented with sound trade policies for the sustainability of the beneficial effect of Chinese trade on economic complexity in Africa.

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.

Energy poverty is a global phenomenon, but its prevalence is enormous in most African countries, with a potential impact on quality of life. This study aims to investigate the impact of energy poverty on the shadow economy.

The study uses panel data from 45 countries in Africa over a period of 1996–2018. Using panel cointegrating regression and panel vector auto-regression model in the generalized method of moments technique.

This study provides that energy poverty deepens the size of the shadow economy in Africa. It also documents that there is a bidirectional causality between shadow economy and energy poverty. Therefore, the two variables can predict each other.

The study suggests that lack of access to clean and modern energy services contributes to the depth of the shadow economy in Africa. African authorities are advised to strengthen rural and urban electrification initiatives by providing adequate energy infrastructure so as to reduce the level of energy poverty in the region. To ensure energy sustainability delivery, the study proposes that the creation of national and local capacities would be the most effective manner to guarantee energy accessibility and affordability. Also, priorities should be given to the local capital mobilization and energy subsidies for the energy poor. Energy literacy may also contribute to the sustainability and the usage of modern energy sources in Africa.

Previous studies reveal that income inequality contributes to the large size of shadow economy in developing economies. However, none of these studies analyzed the role of energy poverty and its implications for underground economic operations. Inadequate access to modern energy sources is likely to deepen the prevalence of informality in developing nations. Based on this, this study provides fresh evidence on the implications of energy deprivation on the shadow economy in Africa using a heterogeneous panel econometric framework. The study contributes to the literature by advocating that the provision of affordable modern energy sources for rural and urban settlements, and the creation of good energy infrastructure for the firms in the formal economy would not only improve the quality of life but also important to discourage underground economic operations in developing economies.

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.

One of the main obstacles to the flourishment of African entrepreneurship is financial constraint. Existing studies on the nexus between entrepreneurship and financial development are inconclusive, while the position of African economies remains unknown. The purpose of this paper is to empirically study the impact of financial development on entrepreneurship in Africa.

This study utilizes data of 20 selected countries in Africa over a period of 2006–2017. International Monetary Fund (IMF) data on broad-based financial development were combined with World Bank Entrepreneurship database. This study uses system generalized methods of moments (system GMM) technique and the recently developed dynamic panel threshold based on dynamic panel GMM.

The following findings emerged: financial development does not spur entrepreneurship in Africa; there is a threshold at which financial development improves the level of African entrepreneurship; and the tendency of financial development to improve the level of entrepreneurship is conditioned on conducive business regulation and strong institutional quality at a specific threshold value.

This is one of the few studies that examines the impact of financial development on entrepreneurship in Africa. This study shows that the financial development relies on the effectiveness of regulatory environment to extend loan and other financial services to new firm entrants. In addition, the results of this study reveal that the assumption of linearity in the nexus between finance and entrepreneurship is not tenable for the case of Africa. Therefore, policymakers should keep on developing African financial system to accelerate the pace of entrepreneurship development.

The purpose of this paper is to evaluate the impact of financial inclusion (FI) on control of corruption in selected African countries.

The study employs secondary data spanning over a period of 2005–2016. These data are sourced from IMF's International Financial Statistics, World Bank Development Indicators, Global Financial Development Database, Transparency International and International Country Risk Guide. The author uses Sarma (2008) approach to construct the FI index for 13 countries in Africa. The author applies random effect, robust least square and instrumental variable (IV) estimations to examine the impact of FI on control of corruption in Africa.

The author finds that financial inclusion improves the control of corruption. The author tests for possible FI threshold to avoid the case of extreme FI in Africa. The results show that there is a threshold level if reached, FI would have negative impacts in the control of corruption. This may likely happen mainly due to weak institutions in Africa. The results are robust to alternative proxy for control of corruption and various alternative estimation techniques.

The finding indicates that FI can serve as part of toolkits for reducing corruption in Africa.

This study stresses the important role of FI in the economic system. It is the first paper that empirically suggests the role of FI in controlling corruption in Africa.

This paper aims to draw on extant literature to ascertain the relevance of remittance receipts in improving the level of crime control in Nigeria.

The study uses time series data spanning for a period of 1986–2017. It adopts dynamic ordinary least square (DOLS), vector auto regression impulse response function, variance decomposition and Toda and Yamamoto causality approach to analyse the data.

The following findings are established: DOLS shows that remittance receipt has negative and significant impact on crime rate in Nigeria. The impulse response function indicates that a positive shock to the remittance inflows reduces the level of crime in Nigeria. Moreover, a positive shock to the crime rate decreases the remittance. This implies that both variables respond to each other. Toda and Yamamoto causality approach shows that there is unidirectional causality moving from remittance inflow to criminal activities in Nigeria. These results persist after considering other institutional variables. These findings support the previous evidences on remittances-crime nexus and as well support the opportunity cost theory of crime.

Apart from being the first study in African region that evaluates the relevance of remittances in crime control, it also analyses the dynamics between crime rate and remittance receipts using time series econometrics which makes the study to be unique. The study shows that remittances can be used as part of toolkits for controlling criminal activities in Nigeria.

In this study, an investigation into the asymmetric impacts of crime rate on total factor productivity (TFP) in Nigeria is conducted.

The study employs linear and non-linear autoregressive distributed lag (ARDL) modelling techniques to analyse Nigerian data spanning over a period of 1986–2017. In addition, Granger causality tests are conducted under error correction technique.

The study establishes that crime rate has a significant impact on TFP in the short and long run. In addition, the positive component of crime rate has positive impacts on TFP in the short run while the negative shocks have negative impacts on TFP. However, in the long run, both positive and negative components have negative impacts on TFP in Nigeria.

This study is the first to analyse the asymmetric impact of crime rate on TFP. The study also advances the literature by examining the symmetric impact of crime rate on TFP in an African country (Nigeria) where crime-related activities are rampant. The study is one of the few studies that shed light on nonlinearities in criminal behaviour.