In this research work, rotating savings and credit association (ROSCA) effect on the growth of micro, small and medium enterprises (MSMEs) and identification of a factor supporting the continuity of ROSCAs is studied. A well-designed questionnaire with a reliability value of 0.957 was distributed to 400 entrepreneurs in Wukari through snowball sampling technique. After validity check, 368 valid questionnaires were used for the research. Firstly, a paired t-test was applied to know if entrepreneurs achieve significant positive growth in their business before and after 5 years of joining ROSCAs. At 5% level of significance, entrepreneurs achieved significant positive growth in their businesses 5 years and above of joining ROSCAs. Secondly, a one sample proportion Z-score test was used to identify the major factor responsible for ROSCAs continuity. At 5% significance level, flexibility was identified as the major factor responsible for ROSCAs. It was concluded based on the results obtained that ROSCAs has a significant positive effect on the growth of MSMEs and ROSCAs continuity towards MSMEs growth is due to its flexibility factor in terms of operations, disbursement, seeking loans and interest rate.

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The expectation of any country is to experience a high output but in the presence of increasing inflation such expectation becomes blurring because high inflation is a sign of a low working economic system. In this research the impact of inflation rate (InfR) on Nigeria economic growth (EcoG) is studied for the period of 1986 to 2018 using an Autoregressive Distributed Lag (ARDL) Bounds test approach to determine the co-integration existence between InfR and EcoG and determine the long run effect through the approach of Error Correction Model (ECM). The results obtained showed that an ARDL (2, 2) model was the best fitted model for the sampled data based on the smallest Akaike’s Information Criterion (AIC) value obtained. Also, it was found that InfR significantly impacted on Nigeria EcoG negatively on the long and short run dynamics with a stable estimation as portrayed by the CUSUM square chart.

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