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This paper examined the interactive role of Political Cycles on the relationship between Fiscal Policy and Capital Flight in Africa.

A two-step System Generalized Methods of Moment empirical estimator was employed. This study used data on 40 African countries from 2009 to 2018.

The findings revealed that the interaction between political structures and fiscal policy is positive and significant, indicating that fiscal policies during election periods or different regimes would increase capital flight. The study found that political cycles positively affect capital flight, indicating that election periods and possible government changes promote capital flight activities. The tension and volatile atmosphere characterizing election periods in most African countries cause investors to use all alternatives, including illegal systems, to fly funds to a potentially stable economy.

This study recommends that government and policymakers maintain fiscal discipline during election years and enact pragmatic policies to ensure the continuity of critical fiscal policies to promote business climate and economic stability, especially when there is a change in government.

This study contributes to capital flight literature in two forms. One, the study, to the best knowledge of the authors, is the first to proxy tax with corporate tax (a sound proxy for tax within the business space). Also, this study is the first to empirically show that elections worsen the effect of fiscal policy on capital flight in Africa.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0130

The goal of this study was to determine the impact of access to credit facilities on financial performance among farmers of cooperative societies. The study also tested the predictive power of financial literacy.

The descriptive survey research design was used for the study while the sample size was 240 farmers of cooperative societies from South-East Nigeria. The farmers were categorised into those with access to credit facilities and those without access to credit facilities. A structured questionnaire was used to collect data for the study. Data were analysed using multiple analyses of variance (MANOVA) and multiple regression analysis.

Farmers with access to credit facilities reported higher financial performance such as return on investment, working capital, net profit, profit margin and sales. However, those without access to credit facilities reported lower mean scores on financial performance. Also, financial literacy, like financial knowledge, attitude and awareness, significantly predicts the impact of access to credit facilities on financial performance. It was also found that the duration of repayment of credit facilities, like medium and long term, contributes more to improving financial performance.

This study has shown that even though access to credit facilities impacts financial performance, financial literacy is an important consideration. Also, the duration of repayment is a crucial factor.