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Record W3155744281

Natural perils insurance and compensation arrangements in six countries

2020· article· en· W3155744281 on OpenAlexaboutno aff
Eli Sandberg, Andreas Økland, Inger Lise Tyholt

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
FundersStatens vegvesenScience Foundation IrelandNorges Teknisk-Naturvitenskapelige Universitet
KeywordsBusinessActuarial science
DOInot available

Abstract

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This study has made an assessment of the allocation of responsibility for the climate change adaptation of buildings and infrastructure among key agencies in Norway, Sweden, Finland, Germany, France and Canada. The report presents the various natural perils insurance and compensation schemes prevailing in these countries with the aim of revealing the extent to which emphasis is placed on incentives to implement preventive measures in preference to building restoration. The report is based on a combination of document studies and in-depth interviews with representatives either from the public authorities or from insurance or financial institutions in the countries in question.\nLocal municipalities have overall responsibility for the implementation and supervision of climate change adaptation strategies in all the countries examined in this study. Executive authority and the nature of the subordinate state agencies vary from country to country, but the frameworks for the allocation of responsibility exhibit a number of similarities. The allocation of responsibility is to a large extent well-defined and often under statutory regulation. Germany and Canada are particularly distinctive among the countries examined in this study, primarily because the allocation of responsibility for adaptation strategies reflects the fact that they are federal states.\nCompared with the work to reduce greenhouse gas emissions, climate change adaptation represents a relatively new area of focus. The EU has evolved into a driving force for climate change adaptation activities in Europe, and in 2013 launched its own adaptation strategy. The strategy focuses on consolidating the foundation for decision-making related to adaptation measures, and on supporting the coordination and funding of actions taken at national level. It delegates responsibility for national strategy development to each member state, and subsidises initiatives for the development of national expertise, which in turn form the basis for the identification of appropriate measures.\nIn general terms, compensation for the impact of natural perils on property consists of three components;\n• Insurance\n• Self-assurance (by which the property owner must be prepared to cover the costs of\nany losses himself)\n• State-funded compensation provided by governments, a ministry or a regional public authority\nThe ways in which these various schemes are triggered depend on both the causes of damage and the nature of the property that incurs damage. The extent to which any given scheme places emphasis either on the cause or the nature of the property varies from country to country. The distinctions between the schemes may be unclear, for instance, in terms of the role of the state as both a formal and informal underwriter for the insurance companies. In Finland, there has to date been no need to establish a state-funded safety net in the form of regional, national or EU funding.\nIn Norway and France, natural perils insurance and compensation schemes are in part incorporated into the public sector. Insurance premiums are not risk-based, entailing a certain element of public solidarity associated with the schemes. In France, the state-funded compensation scheme is structured as a fund, twelve percent of which is provided by the insurance premiums. This percentage has increased over time, and also finances climate change adaptation measures such as monitoring, mapping, municipal planning, research and the dissemination of information, as well as expropriation and evacuation measures. In Norway, a 0.065 part of fire insurance premiums is allocated to provide compensation for losses caused by natural phenomena, and is used primarily to cover the restoration of damaged buildings to their original standard.\nIn Sweden, Finland, Germany and Canada, natural perils insurance and compensation is provided mainly via private sector insurance schemes. In Sweden, Finland and Canada, building insurance is nevertheless referred to as semi-voluntary, because the banks will only grant loans for property to those who have also taken out property insurance. If a property owner has no need to take out a loan, he is not obliged to insure the property. The extent of coverage in these countries is thus approximately just as high as that in Norway and France.\nA private sector scheme is able to provide incentives to implement preventive measures by means of excess payments and risk-based premiums. At the same time, the existence of a parallel, state-funded, safety net may act to weaken any incentive to take action to prevent damage caused by natural phenomena. Another factor that may weaken incentives to implement preventive measures is that it is currently common practice among insurance companies to cover property restoration costs above and beyond their original standard following damage caused by natural phenomena. Some insurance companies offer guidelines on climate change adaptation in their policies, and the party taking out the insurance may incur a payout reduction if the guidelines are not adhered to. Even if certain incentives exist either within or outside the schemes, these are considered to be too passive in relation to the expected impacts of climate change.\nIt is the prerogative of individual insurance companies to offer supplementary cover. However, as a rule, private sector infrastructure is not insured. In Norway, a state-funded scheme provides compensation for losses resulting from natural phenomena to private sector infrastructure such as roads, quaysides and harbour walls. Large private sector companies can take out exclusive insurance policies to cover their infrastructure. This has been the case for a number of bridges in Sweden, the express train infrastructure connecting Stockholm Arlanda airport, and rail infrastructure in Norway. State institutions act as self-insurers in all the countries examined in this study.\nThe natural perils insurance and compensation schemes that operate in the various countries are different, and all of them have recently been amended or are in the process of revision. However, it is not possible to identify an overall trend in this process. Finland moved away from a private-public scheme to an entirely private sector arrangement in 2014. However, Canada is currently in the progress of developing public sector schemes in response to the refusal by the private sector to offer adequate flood insurance. The Norwegian system has been the subject of review but, to date, no decisions have been taken regarding modification.The solidarity principle infuses both the Norwegian and French systems with high levels of credibility.\nOther areas in which the incentive to adopt adaptation measures can complement incentives set out in current insurance and compensation schemes include statutory building regulations and climate change adaptation loans. By requiring higher levels of climate change adaptation, statutory building regulations may contribute towards boosting incentives for property owners to implement preventive measures. Many countries are in the process of revising their statutory building codes to incorporate requirements for adaptation measures. However, our findings indicate that to date, the specificity of these requirements is very limited. The market for green bonds is expanding rapidly and, in the future, climate change adaptation loans may act to provide incentives in the same way as green loans do to promote energy-efficient buildings. For example, in the right context, the level of an insurance premium could be fixed based on the implementation of measures that also triggers a climate change adaptation loan and certification of the adapted buildings. However, such a scenario will also require developments in the field of adaptation performance indicators.\nA natural extension of this study will be the development of alternative structures for natural perils insurance and compensation schemes that not only retain the solidarity principle, but which also offer further incentives to building owners to implement preventive measures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.242
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2020
Admission routes1
Has abstractyes

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