1. Introduction

Insurance distortion in infrastructure resilience refers to situations where the availability, pricing, design, exclusions, or administration of insurance changes the incentives of infrastructure owners, operators, investors, regulators, and governments in ways that may weaken—or sometimes strengthen—resilience.

Infrastructure resilience means the capacity of electricity grids, roads, bridges, water systems, ports, pipelines, telecommunications networks and other essential infrastructure to anticipate, withstand, absorb, recover from, and adapt to disruptions such as floods, cyclones, earthquakes, fires, technological failures and climate-related events.

Insurance is ordinarily regarded as a resilience instrument because it transfers part of the financial consequences of physical damage from the infrastructure owner to the insurer. However, insurance does not automatically produce physical resilience. Poorly designed insurance can create:

moral hazard—less incentive to invest in prevention because losses are insured;

adverse selection—high-risk infrastructure seeking extensive coverage while lower-risk infrastructure exits;

underinsurance—coverage limits insufficient to rebuild modern infrastructure;

exclusion distortion—important risks being excluded or narrowly defined;

pricing distortion—premiums failing to reflect actual long-term risk;

claims uncertainty—disputes over causation, exclusions and survey reports;

investment distortion—developers selecting projects based on insurability rather than engineering resilience;

public-sector dependency—governments becoming the ultimate insurer of infrastructure risks.

The central legal question is therefore not simply whether infrastructure is insured, but whether insurance arrangements encourage genuine risk reduction or merely finance reconstruction after failure.

2. Meaning of Insurance Distortion

Insurance creates a distortion when the insurance mechanism causes decision-makers to behave differently from how they would behave if they bore the full consequences of infrastructure failure.

For example, suppose an electricity distribution company can either:

spend ₹100 crore strengthening substations against flooding; or

spend ₹10 crore on insurance covering flood damage.

If the insurance policy provides substantial compensation but does not require adequate flood-prevention measures, the operator may rationally prefer insurance. From the perspective of the individual insured, this may be financially attractive. From the perspective of society, however, repeated infrastructure failure can still impose enormous costs through:

electricity interruption;

loss of business;

public health consequences;

transport disruption;

emergency expenditure;

environmental damage; and

loss of essential services.

Insurance therefore protects the balance sheet, but not necessarily the physical infrastructure system.

3. Moral Hazard and Resilience

The most important form of insurance distortion is moral hazard.

Once infrastructure is insured, the owner may have less economic incentive to spend additional resources on prevention. The insurer therefore has an interest in imposing:

safety standards;

maintenance requirements;

inspection rights;

deductibles;

warranties;

risk-management conditions;

catastrophe-resistant construction requirements.

These contractual mechanisms can convert insurance from a passive compensation mechanism into an active resilience instrument.

In infrastructure projects, this is particularly important because damage may have systemic consequences extending far beyond the insured property.

For example, destruction of an electricity substation may cause losses to hospitals, industries, telecommunications networks and water utilities that are not fully reflected in the insured property's own repair costs.

4. Adverse Selection and Infrastructure Risk

Adverse selection occurs where insurance pricing does not adequately distinguish between different levels of risk.

Suppose two electricity networks exist:

Network A has flood-resistant substations and underground cables.

Network B operates older infrastructure in flood-prone areas.

If both receive approximately the same insurance premium, Network A effectively subsidises Network B.

This can discourage investment in resilience because the infrastructure operator receives insufficient financial recognition for reducing risk.

Conversely, if insurers dramatically increase premiums or withdraw coverage from high-risk infrastructure, essential infrastructure may become financially difficult to operate.

This produces another distortion: insurance availability itself can determine where infrastructure is developed.

5. Underinsurance and the Resilience Gap

A major problem is the difference between insured value and actual replacement cost.

Infrastructure replacement after a disaster may cost considerably more than the original construction cost because of:

inflation;

scarcity of construction materials;

emergency labour;

regulatory changes;

upgraded safety standards;

technological replacement;

climate adaptation requirements.

An old electricity substation, for example, may have been insured for its historical value, while replacement requires substantially more expenditure.

Underinsurance can therefore create a post-disaster resilience gap.

The infrastructure owner may receive enough money to replace the damaged asset with an older equivalent but insufficient money to construct a more resilient system.

6. Exclusion Clauses as a Source of Distortion

Insurance policies frequently distinguish between insured and excluded risks.

Typical disputes may concern whether damage resulted from:

flood;

seepage;

defective construction;

gradual deterioration;

inadequate maintenance;

natural disaster;

wear and tear;

mechanical failure;

consequential loss.

These distinctions are legally important because infrastructure failures are often multi-causal.

A bridge may collapse because of extreme rainfall interacting with:

defective drainage;

inadequate foundations;

corrosion;

poor maintenance; and

increased climate intensity.

Determining which cause legally triggered the insured loss can become extremely difficult.

7. Supreme Court: United India Insurance Co. Ltd. v. Hyundai Engineering & Construction Co. Ltd. (2024)

This is particularly important for infrastructure insurance.

The case concerned a cable-stayed bridge across the Chambal River at Kota, Rajasthan, constructed under an NHAI project. A Contractor's All Risk Insurance Policy covered the project for approximately ₹213.58 crore. (Indian Kanoon)

The Supreme Court considered the policy's exclusions and the evidence concerning the bridge damage. The decision demonstrates an important principle for infrastructure resilience: insurance liability depends upon the precise allocation of risks in the policy rather than a general assumption that every infrastructure failure is insured. (Indian Kanoon)

The case is significant because infrastructure contracts frequently involve multiple parties—government authorities, contractors, consultants and insurers—and insurance disputes can become intertwined with questions of construction quality, causation and contractual responsibility.

Relevance to insurance distortion

The case illustrates that insurance can create a false perception of security if project participants assume that a Contractor's All Risk policy automatically transfers every construction risk to the insurer.

For resilient infrastructure, the contract must clearly identify:

construction defects;

design risks;

natural hazards;

maintenance obligations;

consequential losses;

exclusions; and

responsibilities among project participants.

8. Oriental Insurance Co. Ltd. v. Malana Power Company Ltd. (2021)

The Supreme Court's decision in Oriental Insurance Co. Ltd. v. Malana Power Company Ltd. is particularly relevant to energy infrastructure because it involved an electricity-generating enterprise and interpretation of insurance coverage. (Indian Kanoon)

The case illustrates the importance of determining the precise scope of an insurance contract when damage occurs to energy infrastructure.

For electricity systems, this is particularly significant because a physical failure can produce two separate categories of loss:

physical damage to infrastructure, and

economic consequences of interruption of electricity generation or supply.

Insurance may cover the first but not necessarily the second.

This distinction can create substantial resilience problems because infrastructure operators may believe that insurance protects them against the entire consequences of a failure when it actually covers only specified physical damage.

9. Gopal Dikshit v. United India Insurance Company Ltd. (2025)

The Supreme Court's decision in Gopal Dikshit v. United India Insurance Company Ltd., 2025 INSC 731, provides a contemporary example of disputes over causation in climate-related damage. (Indian Kanoon)

The insured premises suffered serious damage following heavy rainfall and flooding in Delhi. The insurer relied upon a later survey attributing the damage to seepage, while earlier evidence attributed the damage to heavy rainfall and flooding. The Supreme Court rejected reliance on the later contradictory assessment and remanded the matter for determination of compensation under the policy. (Indian Kanoon)

Importance for resilience

The case demonstrates how causal classification can determine whether infrastructure or property receives recovery funds after a disaster.

For climate-resilient infrastructure, the problem becomes more complicated because extreme weather can interact with pre-existing vulnerabilities.

If insurers classify damage narrowly as:

"maintenance failure"

rather than:

"climate-related flood damage",

the financial consequences can shift substantially.

This makes high-quality, timely and technically credible loss assessment an important component of resilience governance.

10. General Assurance Society Ltd. v. Chandmull Jain (1966)

The Supreme Court's classic decision in General Assurance Society Ltd. v. Chandmull Jain, AIR 1966 SC 1644, establishes fundamental principles of insurance contract interpretation. The Court recognised the requirement of uberrima fides (utmost good faith) and noted that insurance contracts are generally construed according to their expressed terms, with ambiguity potentially being construed against the insurer. (Legal Authority)

The Court also emphasised that courts should interpret the contract made by the parties rather than create a new contract considered more reasonable.

Relevance

This principle has major implications for resilience insurance.

Infrastructure owners cannot assume that the broad purpose of insurance will override specific policy wording. Conversely, insurers cannot safely rely on vague or ambiguous drafting where the contractual terms do not clearly allocate a particular risk.

Thus, precision in insurance drafting becomes a component of infrastructure resilience.

11. United India Insurance Co. Ltd. v. Harchand Rai Chandan Lal (2004)

In United India Insurance Co. Ltd. v. Harchand Rai Chandan Lal, the Supreme Court emphasised that an insurance policy is a contract and parties are bound by its terms. The dispute concerned the meaning of "burglary" and whether the specified requirements of the policy had been satisfied. (Legal Authority)

Although the case concerned burglary rather than infrastructure resilience, its broader contractual principle is important.

Infrastructure insurance should therefore expressly define:

insured perils;

trigger events;

causation requirements;

exclusions;

deductibles;

maintenance obligations;

reporting requirements;

business-interruption coverage; and

reinstatement standards.

Ambiguity can produce litigation precisely when rapid post-disaster recovery is most important.

12. Insurance Can Encourage Resilience

Insurance distortion is not necessarily negative.

Properly designed insurance can create positive incentives.

For example, insurers can provide lower premiums where an infrastructure operator demonstrates:

flood-resistant design;

seismic strengthening;

fire protection;

redundant power supply;

backup communications;

preventive maintenance;

disaster-response planning;

independent engineering audits.

The insurer effectively becomes an additional source of risk governance.

This produces a desirable cycle:

Risk assessment → premium differentiation → resilience investment → lower probability of loss → reduced claims → potentially lower insurance cost.

13. Parametric Insurance and Resilience

Parametric insurance provides another possible solution.

Instead of waiting for detailed assessment of physical damage, payment may be triggered when an objectively measurable event reaches a specified threshold—for example:

rainfall exceeding a defined level;

wind speed exceeding a specified threshold;

earthquake intensity exceeding a specified level.

This can accelerate recovery.

However, it introduces basis risk.

Basis risk occurs when the predefined trigger occurs but the insured suffers little physical damage, or when significant damage occurs without the trigger being reached.

Consequently, parametric insurance can improve liquidity while failing to perfectly compensate physical losses.

14. Public Infrastructure and Government Backstops

Infrastructure often produces public benefits that exceed the private benefits received by its owner.

For example, an electricity grid is essential to:

hospitals;

transport;

telecommunications;

water supply;

businesses;

households.

Consequently, governments may ultimately become the insurer of last resort after catastrophic infrastructure failure.

This creates a potential distortion:

If infrastructure owners expect government disaster assistance, they may purchase less insurance or invest less in prevention.

The problem is therefore not merely an insurance-market problem. It becomes a question of public finance and infrastructure governance.

15. Climate Change and Insurance Distortion

Climate change makes the problem more significant.

Historical insurance models often depend heavily upon historical loss experience. But climate change can alter the frequency and severity of:

floods;

cyclones;

heatwaves;

wildfires;

extreme rainfall;

droughts.

If historical data underestimates future risks, premiums may initially be too low.

Later, insurers may respond by:

increasing premiums;

reducing coverage;

introducing exclusions;

increasing deductibles;

withdrawing from particularly exposed markets.

This can produce an insurance protection gap exactly where resilient infrastructure investment is most necessary.

16. Legal and Regulatory Solutions

A resilience-oriented insurance framework should therefore incorporate the following mechanisms.

1. Risk-based premiums

Premiums should reflect measurable infrastructure risk.

2. Resilience-linked underwriting

Insurance conditions should reward compliance with engineering and disaster-resilience standards.

3. Mandatory disclosure

Infrastructure owners should disclose:

structural vulnerabilities;

maintenance history;

flood exposure;

seismic exposure;

prior claims;

safety assessments.

4. Clear exclusions

Policies should clearly distinguish between:

sudden catastrophe;

gradual deterioration;

defective design;

maintenance failure;

consequential loss.

5. Independent surveys

Surveyors should provide technically defensible causation assessments.

6. Adequate reinstatement values

Policies should account for the actual cost of rebuilding resilient infrastructure.

7. Business-interruption protection

Critical infrastructure insurance should consider interruption losses where appropriate.

8. Public-private catastrophe pools

For systemic risks that private insurance cannot efficiently absorb, governments and insurers may develop catastrophe-risk pools.

17. Relationship Between Insurance and Infrastructure Law

Insurance should not replace:

building regulations;

electricity safety standards;

environmental regulation;

disaster-management law;

maintenance obligations;

public procurement rules;

infrastructure licensing.

The correct legal hierarchy is:

Regulation → prevention → resilience investment → insurance → recovery.

Insurance should operate as a financial complement to resilience, not as a substitute for it.

18. Conclusion

Insurance distortion in infrastructure resilience arises when insurance arrangements alter the incentives governing infrastructure investment, maintenance and risk management.

The central problem is that insurance can protect the economic value of an infrastructure asset without necessarily protecting the infrastructure system itself. Excessively broad insurance can create moral hazard; inadequate coverage can create an insurance gap; risk-based pricing can make vulnerable infrastructure unaffordable to insure; exclusions can generate disputes; and uncertain causation can delay recovery.

Indian Supreme Court jurisprudence demonstrates the importance of precise contractual allocation of risk. General Assurance Society v. Chandmull Jain emphasises interpretation of the insurance contract and good faith; Harchand Rai Chandan Lal reinforces the binding character of policy terms; Malana Power illustrates the importance of insurance interpretation in power infrastructure; Hyundai Engineering demonstrates the significance of exclusions and causation in major infrastructure projects; and Gopal Dikshit shows how conflicting assessments of rainfall, flooding and seepage can materially affect disaster-related claims. (Indian Kanoon)

The emerging legal approach should therefore treat insurance as part of a broader infrastructure resilience architecture. The objective should be to ensure that insurance rewards prevention, accurate risk disclosure, robust engineering and rapid recovery rather than merely compensating repeated infrastructure failure.

Key proposition

The strongest resilience framework is not one in which infrastructure is merely well insured, but one in which insurance, regulation, engineering standards and investment incentives collectively reduce the probability and consequences of infrastructure failure.