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The study investigates the impact of financial inclusion, financial stability, bank nonperforming loans, inflation, macroeconomic management quality and the unemployment rate on economic growth in Nigeria.

The data are analyzed using the ordinary least squares regression, generalized linear model regression, robust least squares regression and the quantile regression methods. The sample period is from 2007 to 2022.

Financial inclusion, inflation rate and macroeconomic management quality are significant determinants of economic growth in Nigeria. Bank nonperforming loans, unemployment rate, international trade and climate change have an insignificant effect on economic growth in Nigeria. Also, financial inclusion, inflation rate, financial stability, macroeconomic management quality and the unemployment rate are significant determinants of economic growth in good economic years in Nigeria.

The well-known catalysts of economic growth, such as financial inclusion and financial stability, are not positive catalysts of economic growth in Nigeria during good economic years. Therefore, it is recommended that policymakers should find the right level of financial inclusion, financial stability and unemployment that stimulate economic growth in Nigeria.

This study examines some determinants of economic growth in Nigeria which have not been examined in the existing literature.

This study examines the impact of monetary and fiscal policy on carbon dioxide (CO₂) emissions from fossil fuel energy consumption. The study extends the literature by linking monetary and fiscal policy to climate action for achieving the net zero emissions goal.

In the empirical analysis, the monetary policy indicator is the lending interest rate, the fiscal policy indicator is the tax revenue to GDP ratio while CO₂ emissions from fossil fuel energy consumption is the CO₂ emissions indicator.

Contractionary monetary and fiscal policy jointly reduce CO₂ emissions in the regions of the Americas and Africa. Contractionary monetary and fiscal policy combined with higher renewable energy consumption jointly reduce CO₂ emissions in the regions of the Americas, Asia and Europe. Also, contractionary monetary and fiscal policy combined with higher institutional quality jointly reduce CO₂ emissions in African countries. Higher renewable energy consumption reduces CO₂ emissions in Africa, Asia, Europe and Americas regions while strong institutional quality consistently reduce CO₂ emissions in Europe and the Americas.

Monetary and fiscal authorities should strengthen existing institutions, increase renewable energy consumption, and increase interest rate and taxes on the fossil fuel economy in a coordinated manner to reduce CO₂ emissions from fossil fuel energy consumption.

There are calls for monetary and fiscal authorities to use policy tools to support ongoing efforts to achieve the net zero emissions goal. However, limited attention has been paid to the regional differences in the relationship between monetary-fiscal policy and CO₂ emissions.

The aim of this study is to explore how financial inclusion can impact healthcare access in developing countries using panel data for the period 2004–2022.

To check the impact of financial inclusion on healthcare access, the estimation techniques used are the fixed-effect model (FEM), two-stage least squares (2SLS) and the system generalized method of moments (GMM). The data were collected from different websites such as the World Development Indicators (WDI), the United Nations International Children's Emergency Fund (UNICEF) and the United Nations Educational, Scientific and Cultural Organization (UNESCO).

It is found in the study that financial inclusion has a significant positive effect on healthcare access, and it is also confirmed from previous literature results. The study found that if there are high financial services in the countries, healthcare sectors can be improved by timely facilities, care and funds. Proper development of financial services could be possible by conducting awareness initiatives, financial planning and implementing literacy programs to educate individuals, particularly in rural and underdeveloped areas. According to the results, trade openness and foreign direct investment have a positive impact on healthcare access, while urbanization has negatively influenced healthcare access.

The limitations of this study were restricted to only 29 developing countries. The main reason behind the lack of availability of data insurance data for developing countries was the limitation in generalizing the results.

The government and policymakers must check what are the best financial inclusion programs and policies that can be implemented to improve healthcare access. Previous literature does not show visibly the impact of financial inclusion’s dimensions on healthcare access.

This study presents a pioneering examination of financial inclusion and healthcare in 29 lower- and middle-income countries (developing countries). This study has used a comprehensive financial inclusion index of 29 developing countries to cover the overall impact of financial inclusion on healthcare in these countries.

This study aims to investigate the relationship between digital financial inclusion and economic growth in specific Asian countries, emphasizing the exploration of how digital financial inclusion dynamics impact gross domestic per capita income.

The study creates a digital financial inclusion composite index (DFII) by incorporating essential metrics from the Global Findex report. Economic growth is measured using Gross Domestic Product per capita income in its natural logarithmic form (LnPCI), with three control variables– employment-to-population ratio; population growth and inflation. The analysis utilizes a fixed-effect dummy variable model to examine the relationship, considering unobserved country-specific heterogeneity. 30 Asian countries have been selected for the study for the periods 2014, 2017 and 2021 based on their availability, as outlined in Table 4.

The research revealed a robust positive correlation between the Digital Financial Inclusion Index (DFII) and logarithmic GDP per capita income (LnPCI), indicating higher per capita income with enhanced digital financial inclusion. Employment and population exhibited minimal influence, whereas inflation had a notable negative effect on per capita income. Population growth showed a limited impact. The model demonstrated a high explanatory power for the dependent variable (high R-squared), and the residuals displayed low autocorrelation (Durbin–Watson of 1.96).

This study adds to the existing literature by examining the intricate connection between digital financial inclusion (DFI) and economic growth in 30 Asian countries, employing a comprehensive composite index for analysis.

The study investigates the influence of managerial discretion over accruals on banks' financial reporting quality. Furthermore, it examines the role of ownership in shaping managerial incentives to manipulate banks’ reporting quality in a developing economy.

The sample includes 37 Indian public- and private-sector banks from the fiscal year 2001–2022. The discretionary LLP (DLLP) is used to examine various managerial incentives and accounting quality. The models are estimated using panel fixed-effect regression and the system generalized method of moments. The results survive several sensitivity checks.

The results exhibit a low quality of financial reporting in public-sector banks, which is evident through the higher use of DLLP for income smoothing and signaling. In contrast, the low-capitalized private-sector banks employ DLLP to manage capital.

The study’s sample size is relatively small and focuses on a single country. Future researchers can investigate other emerging economies to better generalize the findings of this study.

The study highlights the influential role of ownership in shaping managerial incentives in the banking industry. Moreover, the study is of utmost importance for governments, regulators and policymakers in devising policies that reduce agency conflicts and improve financial stability in emerging economies.

The study subscribes to the growing literature on the role of ownership in influencing the banks’ financial reporting quality. To the best of the author’s knowledge, this is one of the limited studies in the context of government-owned vs private-owned banks in an emerging economy.

This study aims to investigate the effect of income and asset diversification on earnings management using discretionary loan loss provisions (LLP) in banks, and the role of risk level in mediating this effect.

A sample of banks operating in Middle East and North Africa countries was used to test the mediation model of Baron and Kenny (1986) with different measures of diversification and risk.

The results show that bank income and asset diversification have unique and combined effects on earnings management. The results also support the idea that a risk-mediating effect contributes to explaining this relationship among banks. Specifically, bank diversification strategies positively affect LLP-based earnings management by increasing bank risk. This result is relevant for conventional banks. However, only a direct and positive effect of diversification strategies on LLP-based earnings management can be observed in Islamic banks, and the indirect effect is not supported.

This study extends previous research by examining the unique and combined effects of income and asset diversification strategies on earnings management in the banking sector. Specifically, it provides new evidence that diversification strategies increase LLP-based earnings management, both directly and indirectly, through bank risk.

The purpose of this study is to analyze the effect of off-balance sheet activities on the credit risk of African banks.

The theory about the relationship between off-balance sheet activities and bank risk was used to construct a conceptual model of the effect of off-balance sheet on credit risk in an African context. The accounting approach is chosen by collecting accounting data extracted from the annual reports of 24 private and conventional African banks during the period 2010–2019. Both statistical and empirical studies are conducted. The statistical study aims to give a description of sample banks in terms of off-balance sheet activities and key financial indicators. The empirical study has the goal of exploring the correlations between, on the one hand, credit risk and, on the other hand, off-balance sheet ratio and control variables (bank- and country-specific variables). This study is based on dynamic panels using the two-step generalized method of moments technique to estimate regressions between credit risk and the explanatory variables.

The statistical study reveals that sample banks use moderately off-balance sheet activities; most of them use essentially guarantees and letters of credit, have satisfactory financial indicators and are slightly exposed to credit risk. The empirical results from the two-step generalized method of moments technique disclose that off-balance sheet activities have an intensifying effect on the credit risk of African banks. However, the increasing effect can be minimized when African banks use moderately off-balance sheet activities.

Using judiciously off-balance sheet activities does not exacerbate the exposure of African banks to credit risk. Therefore, managers of African banks are recommended to maintain a moderate level of off-balance sheet activities, especially guarantees and letters of credit.

The findings of this study eliminate the opacity about the effect of off-balance sheet activities on credit risk. Moreover, this study fulfills the huge gap in the related literature by completing the scarcity of recent studies, considering all items of the off-balance sheet, focusing on the African context, describing off-balance sheet activities and financial indicators of sample banks due to a statistical study and estimating regressions of dynamic panels between credit risk and both bank-specific and country-specific variables due to a two-step generalized method of moments technique.

A recent literature has documented the real effect of Trade Policy Uncertainty (TPU) on trade, stock markets and unemployment; however, there is no specific study that has examined how trade uncertainty influences banking sector stability. In this quest, this study aims to bridge this gap by examining the impact of TPU in the USA and China on the stability of the Indian banking sector. Additionally, the study aims to assess the moderating influence of banking regulation and supervision on the aforementioned relationship.

To quantify the above objectives, the study uses a robust set of econometric estimates, i.e. system generalised method of moments (Sys-GMM), fixed effect model and pair-wise Granger causality test on the alternative proxies of banking stability from 2000 to 2023.

The empirical estimates validate that TPU has a negative impact on the Indian banking stability. Moreover, the impact of the USA. TPU is much more significant on the Indian banking sector’s stability in comparison to the Chinese TPU. The empirical model further suggests that banking regulation and supervision moderate the negative influence of trade uncertainties on the Indian banking sector’s stability and assist in improving it. Finally, the pairwise causality test confirms a unidirectional causal relationship between the TPU in the USA and China and the stability of the Indian banking sector, thereby validating the transmission effect of trade uncertainty on this sector.

To the best of the author’s study, this study is original and offers useful policy recommendations for understanding the implications of trade uncertainty for banking stability. The study also offers insight to comprehend the role of banking regulation and compliance in mitigating the adverse repercussion of trade uncertainties on the banking sector’s stability.