Financial Efficiency of Licensed SACCOS in Arusha and Dar es Salaam Regions, Tanzania. An Evaluation of Financial Efficiency Levels, Trends, and License Category Variations (Published)
Licensed SACCOS in Tanzania face persistent challenges in attaining their full financial performance potential. This study evaluated the financial efficiency of licensed SACCOS in the Arusha and Dar es Salaam regions, Tanzania. A panel research design was used and Data Envelopment Analysis (DEA) was used to calculate financial efficiency. A bootstrap confidence interval for the mean efficiency was used to test whether the average efficiency differed significantly from 1. Random-effects Generalized Least Squares (GLS) was used to determine the trend in financial efficiency over the study period. The Mann–Whitney U test examined differences in financial efficiency between category A and category B SACCOS. Findings indicate that the average financial efficiency of licensed SACCOS (FeCRS = 0.38, FeVRS = 0.47, SE = 0.85) diverges significantly from 1. The findings also indicate no significant improvement in the financial efficiency of licensed SACCOS over the study period. Further results indicate significant variations in FeCRS, FeVRS, and FeSE between licensed SACCOS. This study contributes to the growing body of knowledge on licensed SACCOS and offers useful insights for managers, regulators, and policymakers seeking to enhance their financial efficiency. The study recommends strengthening cost-control mechanisms, improving the allocation of mobilized financial resources, promoting income diversification, and implementing category-specific managerial improvement strategies to enhance the financial efficiency of licensed SACCOS.
Keywords: Data Envelopment Analysis, Licensed SACCOS, category A SACCOS, category B SACCOS, financial efficiency
Effect of Financial Efficiency and Stability on Renewable Energy Expenditure in Nigeria (Published)
This study examines the effect of financial efficiency and Stability on the expenditure on renewable energy in Nigeria. This study adopts ex-post facto research design because the data for the study is already stored in the data base of World Development Indicator (WDI) which cannot be altered by any researcher. The population of the study comprises of data from the Nigerian economic factor which includes financial development index relationship to financial access and efficiency as well as the expenditure on renewable energy which are biomass, hydro, wind and solar technologies. The sample period that is adopted is from 1988 to 2023 (35 years). The data collected was analysed using Autoregressive Distributed Lag Estimation Techniques for data analysis. However, the long run test result shows that the coefficients of the specifications estimated using ARDL approach and based on the results, financial stability (1.6002) has a positive relationship with the dependent variable but is insignificant due to its p-value (0.2865) being greater than 5% respectively while financial efficiency (-4.5956) has a negative relationship with the dependent variable with an insignificant p-value (0.1999) because it is also greater that than 5%. In the light of the findings, this study recommends that improve Financial Efficiency to Facilitate Renewable Energy Investments. Financial institutions should streamline their processes, reduce bureaucratic bottlenecks, and lower transaction costs related to renewable energy financing and enhance Financial Stability with a Focus on Renewable Energy Investment. Regulatory authorities should, therefore, enhance financial sector resilience with a specific focus on promoting renewable energy investments.
Keywords: Expenditure, Renewable Energy, financial efficiency, financial stability