Purpose This study aims to examine the descriptive capabilities of efficiency, liquidity risk and capital risk for the cross-sectional and time-series variations in banks’ performance across emerging economies (EEs). It also examines the impact of the 2008 global financial crisis (GFC) on the effects of capital, liquidity and efficiency on banks’ performance. Design/methodology/approach The paper adopts a spatial panel model and collects data across 90 EEs. Findings The study shows that a surge in efficiency and liquidity improves bank performance. In addition, banks that finance credit creation primarily with core deposits perform better. Also, banks in EEs responded to the GFC. The findings show that banks in EEs respond to global events emanating from the developed economies. This indicates that EEs banks are relatively integrated with banks in developed markets. Originality/value Improvement in profit efficiency and effective liquidity and capital risk management enhance the performance of EEs banks.

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This study investigates the moderating role of ownership structure in the nexus between corporate governance and the financial performance of manufacturing firms in Ghana. The study uses GLS regression to analyze a panel dataset of 7 manufacturing firms over 14 years. We find a positive and significant effect of board size, audit committee independence, and size on firm performance. We, however, find a negative relationship between board remuneration and performance. We observe that block ownership moderates the relationship between board size, board independence, and the financial performance of manufacturing firms. Block shareholdings of the listed manufacturing firms in Ghana play a significant moderating role in the corporate governance-firm performance nexus. This study provides key insights into the influence of block shareholders on corporate governance activities and the eventual impact on the financial performance of manufacturing firms in Ghana, a phenomenon that has not been examined in the literature.

The uncertainties and biases associated with Global Circulation Models (GCMs) ascend from global to regional and local scales which delimits the applicability and suitability of GCMs in site-specific impact assessment research. The study downscaled two GCMs to evaluate the effects of climate change (CC) in the Black Volta Basin (BVB) using the Statistical DownScaling Model (SDSM) and 40-year ground station data. The study employed Taylor diagrams, dimensionless, dimensioned, and goodness-of-fit statistics to evaluate model performance. The SDSM produced a good performance in downscaling daily precipitation, maximum, and minimum temperatures in the basin. Future projections of precipitation by HadCM3 and CanESM2 indicated decreasing trends revealed by the delta statistics and Innovative Trend Analysis (ITA) plots. Both models projected near- to far-future increases in temperature and decreases in precipitation by 2.05–23.89%, 5.41–46.35%, and 5.84–35.33% in the near-, mid-, and far-future, respectively. Therefore, the BVB is expected to become hotter and drier by 2100. As such, climate actions to combat detrimental effects on the BVB must be revamped since the basin hosts one of the largest hydropower dams in Ghana. The study is expected to support the integration of CC mitigation into local, national, and international policies, and support knowledge and capacity building to meet CC challenges.