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The Impact of Culture on the Demand for Non-Life Insurance

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  • Park, Sojung Carol
  • Lemaire, Jean

Abstract

Regression techniques are applied to an unbalanced panel data that includes 68 countries observed over a ten-year period, to explore the factors that affect non-life insurance demand across nations. While previous literature has discovered several significant economic, demographic, and institutional variables, little attention has been devoted to cultural dimensions. We find that non-life insurance consumption is adversely impacted in countries where a large fraction of the population has Islamic beliefs. Also highly significant are three of the cultural scores developed by Hofstede in a celebrated study: Power Distance, Individualism, and Uncertainty Avoidance. An important finding is that culture impacts non-life insurance more in affluent countries, with an adjusted R-square coefficient increasing by 11.7%, than in developing countries where the R-square coefficient increase due to cultural impacts is only 1.2%. These results have implications for multinational insurers seeking to enter a new market. Ceteris Paribus, these insurers should target countries, and population segments within these countries, that exhibit low Power Distance, and high Individualism and Uncertainty Avoidance scores.

Suggested Citation

  • Park, Sojung Carol & Lemaire, Jean, 2012. "The Impact of Culture on the Demand for Non-Life Insurance," ASTIN Bulletin, Cambridge University Press, vol. 42(2), pages 501-527, November.
  • Handle: RePEc:cup:astinb:v:42:y:2012:i:02:p:501-527_00
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    Cited by:

    1. Lee, Hangsuck & Ryu, Doojin & Son, Jihoon, 2022. "Insurance-adjusted valuation, decision making, and capital return," International Review of Financial Analysis, Elsevier, vol. 84(C).
    2. Rangan Gupta & Amine Lahiani & Chi-Chuan Lee & Chien-Chiang Lee, 2019. "Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty," Empirical Economics, Springer, vol. 57(6), pages 1959-1978, December.
    3. Trinh, Cong Tam & Nguyen, Xuan & Sgro, Pasquale & Pham, Cong S., 2020. "Culture, financial crisis and the demand for property, accident and health insurance in the OECD countries," Economic Modelling, Elsevier, vol. 93(C), pages 480-498.
    4. Trinh, Cong Tam & Chao, Chi-Chur & Ho, Nhut Quang, 2023. "Private health insurance consumption and public health-care provision in OECD countries: Impact of culture, finance, and the pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    5. Charmaine Barbara & Dominic Cortis & Roberta Perotti & Claudia Sammut & Antoine Vella, 2017. "The European Insurance Industry: A PEST Analysis," IJFS, MDPI, vol. 5(2), pages 1-20, May.
    6. Lee, Hui Shan & Cheng, Fan Fah & Chong, Shyue Chuan & Sia, Bik Kai, 2018. "Influence of Macroeconomics Factors and Legal Stability to the Insurance Growth in the ASEAN-5 Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 219-229.
    7. Jean-François Outreville, 2014. "The Meaning of Risk? Insights from The Geneva Risk and Insurance Review," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(4), pages 768-781, October.
    8. Hemrit, Wael & Nakhli, Mohamed Sahbi, 2021. "Insurance and geopolitical risk: Fresh empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 320-334.
    9. Chimuka Leo Haamukwanza, 2021. "To insure or not to insure—the role that government and insurance practice should play: a thematic comparison of the urban poor and the workers in the pensions and insurance industry," SN Business & Economics, Springer, vol. 1(9), pages 1-20, September.
    10. Mamadou Bah & Nelson Abila, 2024. "Institutional determinants of insurance penetration in Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 138-179, January.
    11. Huong Dang, 2014. "How dimensions of national culture and institutional characteristics influence sovereign rating migration dynamics," ZenTra Working Papers in Transnational Studies 42 / 2014, ZenTra - Center for Transnational Studies.
    12. Phyllis Asorh Oteng & Victor Curtis Lartey & Amos Kwasi Amofa, 2023. "Modeling the Macroeconomic and Demographic Determinants of Life Insurance Demand in Ghana Using the Elastic Net Algorithm," SAGE Open, , vol. 13(3), pages 21582440231, September.

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