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This paper examines the impact of market share and capital adequacy on the bankruptcy rate of community banks in Tanzania, for the period spanned for 16 years from 2006 to 2021. For instance, recently in Tanzania, seven community banks were closed by the Regulator while others were being merged to increase their going concern and operational efficiency. This study has employed a quantitative approach based on secondary data collected from the Bank of Tanzania as a Regulator and some of them were gathered from community banks. The sample size is 11 community banks, with a total of 176 observations. The panel data analysis has been conducted using statistical software, namely, STATA version 17 with the random effect model being used to generate regression results ready for interpretation. The research findings depicted significant positive correlations between bankruptcy rates as computed using Altman’s Z-score model and the independent variables, namely, market share and capital adequacy ratio. In that regard, the study recommends adequate capital levels and market share to reduce the bankruptcy rates of community banks in Tanzania.

Corruption remains a prominent institutional barrier that hampers foreign direct investment (FDI) inflow in developing countries. However, the specific impact of corruption on FDI inflows in Tanzania remains largely unexplored. This research aims to contribute to the existing body of knowledge by examining the consequences of corruption on FDI inflows in Tanzania between 1996 and 2021. The analysis utilizes time series institutional data obtained from the World Bank governance indicators and FDI inflow data from the Bank of Tanzania (BOT). Given the consideration of multiple variables, a multiple regression model is employed to analyze the data. Unit root tests such as the expanded Dickey-Fuller and Johansen cointegration tests are utilised to assess whether the variables are cointegrated and whether the data exhibits stationarity or nonstationarity. The findings of this study unequivocally demonstrate that corruption (CC) has a significant adverse effect on both short-term and long-term FDI inflows. The data from 1996 to 2021 consistently indicate a noteworthy influence of corruption (CC) on FDI inflows. Consequently, this research recommends concerted efforts to combat corruption in order to improve the investment climate and attract foreign investors.

The chance of survival of businesses in Rwanda is underprivileged and 82% of them close at an early stage, which negatively affects manufacturing companies, particularly Family-Owned Manufacturing Companies (FOMCs). Although there are other reasons why many FOMCs do not succeed in the next generation, a lack of pro-activeness has surfaced as a critical factor. Thus, the study aimed to assess the effect of pro-activeness on the survival of family-owned manufacturing companies in Kigali City, Rwanda. The study was conducted in Kigali City, from 2017 to 2023; Cochran’s formula was employed to determine a sample size of 384 senior employees picked at random from 77 FOMCs. This study employed Self-administered questionnaires and a quantitative approach. Multiple linear regression analysis was utilized to find out the relationship among variables. IBM (International Business Machines Corporation) SPSS (Software Package for Social Sciences) was employed to analyze data. The findings of this study indicated that pro-activeness had a substantial influence on the survival of family-owned manufacturing companies. The study offers a cogent explanation of the relationship between the longevity of family-owned manufacturing companies and pro-activeness. The study also offers important insights into the smooth and effective execution of pro-activeness for the survival and continuity of family-owned manufacturing enterprises. Moreover, the study findings indicated that combining pro-activeness and training the successors boost the productivity of family-owned companies and make them more competitive in the market, which leads to the long-term survival of FOMFs. The FOMFs that use pro-activeness in their operations survive longer than the ones without it.