IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v55y2023ipas1544612323001939.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323001939
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.103820?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiang, Feiyun & Chang, Tsangyao & Jiang, Shi-jie, 2023. "Economic and climate policy uncertainty, geopolitical risk and life insurance premiums in China: A quantile ARDL approach," Finance Research Letters, Elsevier, vol. 57(C).
    2. Bongini, Paola & Cucinelli, Doriana & Soana, Maria Gaia, 2023. "Insurance holdings: Does individual insurance literacy matter?," Finance Research Letters, Elsevier, vol. 58(PC).
    3. Liu, Junrong & Deng, Guoying & Yan, Jingzhou & Ma, Shibo, 2023. "Unraveling the impact of climate policy uncertainty on corporate default risk: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    4. Chen, Yanhua & Sharma, Aarzoo, 2024. "How much does climate-related risk impact stock and commodity markets: A comparative study of the US and China," Finance Research Letters, Elsevier, vol. 62(PA).
    5. Liu, Peng & Chen, Yaru & Mu, Yan, 2024. "The impact of climate risk aversion on agribusiness share price volatility," Finance Research Letters, Elsevier, vol. 61(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Vo, Hong & Nguyen, Tien & Phan, Hieu V., 2024. "Building a sustainable future: The role of corporate social responsibility in climate policy uncertainty management," Finance Research Letters, Elsevier, vol. 60(C).
    3. Strikholm, Birgit & Teräsvirta, Timo, 2005. "Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions," SSE/EFI Working Paper Series in Economics and Finance 578, Stockholm School of Economics, revised 11 Feb 2005.
    4. Ongsakul, Viput & Papangkorn, Suwongrat & Jiraporn, Pornsit, 2023. "Estimating the effect of climate change exposure on firm value using climate policy uncertainty: A text-based approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 40(C).
    5. Liu, Junrong & Deng, Guoying & Yan, Jingzhou & Ma, Shibo, 2023. "Unraveling the impact of climate policy uncertainty on corporate default risk: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    6. Ngozi E. Egbuna (PhD) & Maimuna John-Sowe & Dauda Mohammed (PhD) & Hissan Abubakari & Eric L. Sambolah & Kormay Adams, 2020. "Uncertainty And Economic Performance In The West African Monetary Zone (Wamz): A Fixed Effect Panel Threshold Approach," Working Papers 19, West African Monetary Institute.
    7. Béreau, Sophie & Villavicencio, Antonia López & Mignon, Valérie, 2010. "Nonlinear adjustment of the real exchange rate towards its equilibrium value: A panel smooth transition error correction modelling," Economic Modelling, Elsevier, vol. 27(1), pages 404-416, January.
    8. 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.
    9. Töppel, Jannick & Tränkler, Timm, 2019. "Modeling energy efficiency insurances and energy performance contracts for a quantitative comparison of risk mitigation potential," Energy Economics, Elsevier, vol. 80(C), pages 842-859.
    10. Xiang, Feiyun & Chang, Tsangyao & Jiang, Shi-jie, 2023. "Economic and climate policy uncertainty, geopolitical risk and life insurance premiums in China: A quantile ARDL approach," Finance Research Letters, Elsevier, vol. 57(C).
    11. Antonia López-Villavicencio & Valérie Mignon, 2009. "On Equilibrium Exchange Rates: Is Emerging Asia Different?," Working Papers 2009-38, CEPII research center.
    12. Liu, Xiaoqin & Wojewodzki, Michal & Cai, Yifei & Sharma, Satish, 2023. "The dynamic relationships between carbon prices and policy uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
    14. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    15. Gauvin, L. & McLoughlin, C. & Reinhardt, D., 2013. "Policy Uncertainty Spillovers to Emerging Markets - Evidence from Capital Flows," Working papers 435, Banque de France.
    16. E. Keskitalo & Gregor Vulturius & Peter Scholten, 2014. "Adaptation to climate change in the insurance sector: examples from the UK, Germany and 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. 71(1), pages 315-334, March.
    17. Amanda Savitt, 2017. "Insurance as a tool for hazard risk management? An evaluation of the literature," 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. 86(2), pages 583-599, March.
    18. Adnan Velic, 2024. "Current Account Imbalances, Real Exchange Rates, and Nominal Exchange Rate Variability," Open Economies Review, Springer, vol. 35(3), pages 497-545, July.
    19. Swenja Surminski & Paul Hudson & Jeroen Aerts & Wouter Botzen & M.Conceição Colaço & Florence Crick & Jill Eldridge & Anna Lorant & António Macedo & Reinhard Mechler & Carlos Neto & Robin Nicolai & Di, 2015. "Novel and improved insurance instruments for risk reduction," GRI Working Papers 188, Grantham Research Institute on Climate Change and the Environment.
    20. Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:55:y:2023:i:pa:s1544612323001939. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.