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Haris Ur Rehman Horani, Muhammad Amin, Farhan Ahmed: Climate Risk Insurance: Bibliometric Review on
                      Present, Past and Future

                    The landscape of risk assessment methodologies in the context of climate insurance
                    has  evolved  significantly.  Traditional  risk  assessments  have  transitioned  towards
                    addressing  systemic  complexity,  deep  uncertainty,  and  multi-hazard  risks
                    (Meynadier,  R.;  Rakotoarimanga,  H.;  Frobert,  B.;  Weisman,  A.;  Lobligeois,  F.;
                    Deroche, M.S. (2023); Zscheischler, J.; Westra, S.(2023)). This evolution involves
                    considering the physical hazard, exposure, and vulnerability components of climate
                    risk, along with the development of Natural Hazard models for estimating damages
                    and losses. New approaches include global proportional models for large-scale risk
                    assessment  and  more  sophisticated  local-scale  assessments  integrating  forward-
                    looking  scenarios.  The  incorporation  of  diverse  lines  of  evidence,  stakeholder
                    engagement,  participatory  processes,  and  the  integration  of  quantitative  and
                    qualitative information have become crucial in enhancing the resilience of climate-
                    sensitive systems. These advancements aim to provide a more comprehensive and
                    accurate approach to climate risk management and insurance pricing. Furthermore,
                    there is a growing awareness of the limitations, uncertainties, and trade-offs inherent
                    in data, models, and methods for financial risk assessments related to climate change,
                    urging for a more comprehensive scenario taxonomy to navigate financial risks under
                    uncertainty.  This  evolution  highlights  the  necessity  of  integrating  diverse  lines  of
                    evidence and expertise, enhancing inter-disciplinarily, and encouraging inclusiveness
                    in climate risk assessment practices. Moreover, some suggested methodologies related
                    to RQ1 are recommended below:
                       1.  How  do  advancements  in  artificial  intelligence  and  big  data  enhance  the
                           accuracy of risk prediction model for climate change?
                       2.  How  can  policy  makers  and  regulatory  make  frameworks  to  decrease  the
                           barriers in climate risk insurance markets?
                       3.  Identifying  the  behavior  change  and  adaptation  of  individuals  and
                           organizations towards climate change and insurance uptake?
                    RQ3) What are the key challenges and opportunities in leveraging climate insurance
                    to mitigate risks associated with climate change?
                    Climate change poses significant challenges to communities worldwide, increase in
                    the frequency and austerity of weather and other climate-related risks. The concept of
                    climate risk insurance has emerged as a tool for mitigating the financial impacts of
                    risky climate related events. The key challenges and opportunities associated with
                    leveraging  climate  insurance  to  address  climate  change  risks,  by  examining  data
                    uncertainty,  affordability  concerns,  moral  hazard,  coverage  gaps,  and  policy
                    complexities, alongside opportunities for innovation, public-private partnerships, risk
                    reduction incentives, technological advancements, and policy integration.




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