The effect of intellectual capital on financial performance was investigated in this paper for the period 2008 to 2019. A total of 696 observations were generated from data collected from 56 general insurance companies in 12 years. The Value Added Intelligent Coefficient Model was used and data was analysed using both static (two stage least square, fixed and random effect) and dynamic panel regression analysis (two step system generalised method of moments). The findings showed a significant and direct relationship between lagged return on assets, intellectual capital and financial performance of insurers in the South African Development Community. Out of the components of intellectual capital, human capital and structural capital are significantly and directly related with return on assets while capital employed is inversely and insignificantly related with return on assets. The control variables-underwriting risk, insurer size and leverage are all inversely and significantly affecting return on assets. Thus, a U-shape relationship exists between intellectual capital and financial performance in general insurance companies in the South African Development Community. Thus, the policy makers-cum-insurers' managers should maximise their intellectual capital as this creates competitive advantage that leads to financial performance drive and wealth generation. The Model used in this study is an important model decision-makers can use to assimilate intellectual capital in their decision-making procedures. This will inadvertently permit insurers to scale themselves according to the intellectual capital efficiencies and advance in strategies that will boost their company's financial performance.
This paper examined the influences of interest on loans and loan re-payment plans on the sustainability of small and medium enterprises (SMEs) in South Africa. A quantitative research design that adheres to the positivist paradigm was utilized for this study's methodology. The study targeted 103 SMEs operating in KwaZulu-Natal, South Africa using purposive sampling. A total of 103 surveys were administered, representing a participation rate of 100 percent. The analysis demonstrated a positive relationship between interest on loans and the SMEs’ sustainability and positive relationship between Loan re-payment plans and SMEs’ sustainability. The study recommended that financial institutions should examine loan re-payment plans for SMEs as necessary in order to minimize loan defaults by SMEs, and financial institutions should cut loan interest rates and the costs associated with loan approvals, which may be accomplished via automation and the utilization of online applications. Furthermore, the study suggested that financial institutions should design a flexible loan re-payment plan for SMEs that considers the nation's economic realities.
Access to finance and market has been described as a predominant challenge confronting small and medium-sized enterprises (SMEs). Hence, this paper seeks to evaluate access to finance, market access and viability of SMEs. A quantitative research method and a purposive sampling technique were used to select the participants for this study. Respondents from retail, manufacturing, construction and agricultural SMEs operating in Durban, KwaZulu-Natal, were selected to complete the structured questionnaires. 310 questionnaires were returned out of 321 distributed. The study revealed a significant effect of access to finance (absolute value 0.425) and access to market (absolute vale 0.373) on SMEs’ viability with a 5% level of significance. Thus, it was concluded that access to finance uniquely accounted for the larger proportion of the variance in the regression model. Thus, this study suggests that owners of SMEs should pay greater attention to access to finance in running their businesses, and the Government should aid SMEs to market their products and keep their businesses viable. Public loans or the government supported loans should be made available for SMEs with soften requirements in order to stimulate economic growth.
This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.
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