Determinants of insurance penetration in Africa

Abstract

This study examines key determinants impacting insurance penetration in Africa, where it remains low despite its importance in economic stability. The study uses a panel Auto-Regressive Distributed Lag (ARDL) model with quarterly data from 2008 to 2022 from eight different African nations to assess the effects of GDP, income levels, inflation, and demographic dynamics over different time horizons. The results show cyclical patterns in the relationship between insurance premiums and penetration, with positive impacts in the short run, negative in the near term, and favorable in the long run. Inflation continuously reduces insurance uptake, whereas young-age dependence increases penetration in the near term but decreases it in the long run. In contrast, old-age dependence has a negative influence that becomes positive over time. GDP and income levels have a favorable short-term impact on insurance penetration, but they reduce or turn negative in the long run owing to market saturation and alternative risk-management measures. It emphasizes the complex interaction of economic, demographic, and behavioral dynamics, as well as the significance of adaptive methods for long-term growth. Limitations include cultural and statistical heterogeneity, and future studies should include single-country analysis, the inclusion of under-represented nations, and the investigation of technical and cultural effects to better understand insurance dynamics in Africa.