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The threshold effect of climate risk and the non-linear role of climate policy uncertainty on insurance demand: Evidence from OECD countries

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  • Liu, Bing
  • Yin, Weijun
  • Chen, Gang
  • Yao, Jing

Abstract

This paper investigates whether climate risk and climate policy uncertainty (CPU) have traditional linear or complicated non-linear impacts on insurance demand. We find evidence that both phenomena exist. Linear model shows positive effect of climate risk and negative effect of CPU on insurance demand. However, climate risk and CPU are interdependent, non-linear analysis demonstrates that CPU acts as a threshold. In particular, climate risk has a U-shaped relationship with life insurance demand and an inverse S-shaped relationship with non-life insurance demand, which provides insurance companies with a better understanding of how insurance demand fluctuates under climate risk.

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  • Liu, Bing & Yin, Weijun & Chen, Gang & Yao, Jing, 2023. "The threshold effect of climate risk and the non-linear role of climate policy uncertainty on insurance demand: Evidence from OECD countries," Finance Research Letters, Elsevier, vol. 55(PA).
    • Handle: RePEc:eee:finlet:v:55:y:2023:i:pa:s1544612323001939
    DOI: 10.1016/j.frl.2023.103820
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    as
    1. Anderson, T.W., 2005. "Origins of the limited information maximum likelihood and two-stage least squares estimators," Journal of Econometrics, Elsevier, vol. 127(1), pages 1-16, July.
    2. Azimli, Asil, 2023. "The impact of climate policy uncertainty on firm value: Does corporate social responsibility engagement matter?," Finance Research Letters, Elsevier, vol. 51(C).
    3. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    4. Kristin Stechemesser & Jan Endrikat & Nico Grasshoff & Edeltraud Guenther, 2015. "Insurance Companies’ Responses to Climate Change: Adaptation, Dynamic Capabilities and Competitive Advantage," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(4), pages 557-584, October.
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Donghui Li & Fariborz Moshirian & Pascal Nguyen & Timothy Wee, 2007. "The Demand for Life Insurance in OECD Countries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 637-652, September.
    7. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    8. W. Botzen & J. Bergh & L. Bouwer, 2010. "Climate change and increased risk for the insurance sector: a global perspective and an assessment for the Netherlands," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(3), pages 577-598, March.
    9. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R., 2015. "Insurance development and the finance-growth nexus: Evidence from 34 OECD countries," Journal of Multinational Financial Management, Elsevier, vol. 31(C), pages 1-22.
    10. Botzen, W.J.W. & Aerts, J.C.J.H. & van den Bergh, J.C.J.M., 2009. "Willingness of homeowners to mitigate climate risk through insurance," Ecological Economics, Elsevier, vol. 68(8-9), pages 2265-2277, June.
    11. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    12. Wang, Zheng-Xin & Jv, Yue-Qi, 2022. "A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution," Finance Research Letters, Elsevier, vol. 50(C).
    13. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    14. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    15. Tucker, Michael, 1997. "Climate change and the insurance industry: the cost of increased risk and the impetus for action," Ecological Economics, Elsevier, vol. 22(2), pages 85-96, August.
    16. Ranger, Nicola & Surminski, Swenja, 2013. "A preliminary assessment of the impact of climate change on non-life insurance demand in the BRICS economies," LSE Research Online Documents on Economics 50785, London School of Economics and Political Science, LSE Library.
    17. Andrew Dlugolecki, 2008. "Climate Change and the Insurance Sector," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(1), pages 71-90, January.
    18. Álvaro Escribano & Oscar Jordá, 2001. "Testing nonlinearity: Decision rules for selecting between logistic and exponential STAR models," Spanish Economic Review, Springer;Spanish Economic Association, vol. 3(3), pages 193-209.
    19. Tol, Richard S. J., 1998. "Climate change and insurance: a critical appraisal," Energy Policy, Elsevier, vol. 26(3), pages 257-262, February.
    20. Ren, Xiaohang & Zhang, Xiao & Yan, Cheng & Gozgor, Giray, 2022. "Climate policy uncertainty and firm-level total factor productivity: Evidence from China," Energy Economics, Elsevier, vol. 113(C).
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