Insurance Demand and Economic Growth Dynamics
Summary
The relationship between insurance and economic growth is increasingly recognised as bidirectional and multifaceted. Insurance functions as a mechanism for risk pooling and capital mobilisation, underpinning long-term investment, entrepreneurship and financial stability. Demand for insurance is shaped by income levels, urbanisation, education, institutional quality and regulatory frameworks, which together determine market penetration and depth. An expanding insurance sector can enhance growth by lowering uncertainty, encouraging savings and improving resource allocation. Concurrently, higher economic output and rising living standards fuel demand for both life and non-life insurance products. Empirical research reveals non-linearities and threshold effects, suggesting that insurance’s contribution to growth may intensify beyond certain levels of market development. Regional heterogeneity and differences between mature and emerging markets highlight the need for context-sensitive policy design. Overall, the nexus between insurance demand and economic growth dynamics offers valuable insights for policymakers seeking to strengthen financial ecosystems, foster resilience to shocks and promote sustainable development worldwide.
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Insurance Demand and Economic Growth Dynamics publication trend
The graph below shows the total number of articles in insurance demand and economic growth dynamics across all publications each year (not limited to Nature Index journals).
Technical terms
Insurance penetration: Total insurance premiums as a percentage of gross domestic product, indicating market scale relative to national output.
Insurance density: Insurance premiums per capita, reflecting average individual or household expenditure on insurance products.
Co-integration: A statistical property of time series indicating a stable long-term equilibrium relationship between economic variables.
Threshold effect: A non-linear phenomenon where the impact of insurance on growth changes once a certain level of market development or economic indicator is exceeded.
Autoregressive Distributed Lag (ARDL) model: An econometric approach used to estimate both short-run and long-run dynamics within time-series data.
References
- Testing the co-integration relationship between auto insurance premiums and risk compensation amount. Computers in Human Behavior Reports (2024).
- Insurance and sectorial growth nexus: Evidence from a developing economy. Cogent Economics & Finance (2023).
- Does insurance promote economic growth: A comparative study of developed and emerging/developing economies. Cogent Economics & Finance (2017).
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