China+1 Strategy: Managing Supply Chain Concentration Risk and Insurance India

Supply chain concentration risk is the financial exposure created when a company's production or revenue depends on a narrow node in its supply chain, whether a single supplier, a single geography, or a single logistics route. For insurance purposes, concentration risk matters because most standard commercial policies, property, business interruption, marine cargo, are priced and structured around the insured's own assets. They do not automatically respond when the concentration point fails and the insured's operations are disrupted without physical damage to the insured's own premises.

The China+1 diversification story has two sides for Indian companies. On the demand side, Indian manufacturers are receiving procurement inquiries from multinationals seeking to reduce their China dependency. Electronics assemblers in Noida, specialty chemical producers in Gujarat, pharmaceutical API manufacturers in Hyderabad, and textile exporters in Tiruppur are all seeing order flows that reflect buyers moving supply chains away from China. On the supply side, those same Indian manufacturers remain heavily dependent on China for their own inputs: specialty chemicals, electronic components, precision machinery, and active pharmaceutical ingredients. An Indian mobile phone assembler gaining orders from a European buyer because that buyer wants non-China supply may simultaneously source 70 percent of its components from Shenzhen.

This asymmetry creates a specific insurance problem. The Indian manufacturer presents itself to the global market as a China+1 alternative, but its own supply chain carries concentrated China dependency. A disruption to its Chinese input supply, through a lockdown, a geopolitical trade restriction, or a logistics bottleneck at a single port, can shut its production without any physical damage to its own premises. The standard BI policy does not respond. The CBI extension responds only to physical damage at a named supplier, not to governmental action, lockdowns, or port congestion.

Single-port dependency deserves particular attention. A significant share of Indian electronics component imports transit through a single port, typically Nhava Sheva or Chennai depending on the trade route. If port operations are disrupted by a cyclone, a berth fire, or a customs IT failure, the concentration of imports through that port creates a systemic exposure for multiple Indian manufacturers simultaneously. This is a clash risk for insurers, and it is a retention risk for manufacturers who have not structured transit or trade disruption coverage to address it.

Two events made supply chain concentration risk viscerally real for Indian manufacturers and their insurers.

The March 2021 Suez Canal blockage, caused by the container vessel Ever Given running aground and blocking the canal for six days, disrupted approximately 12 percent of global trade by volume. For Indian manufacturers importing from Europe or exporting to European buyers, the blockage caused vessel diversions around the Cape of Good Hope, adding 10 to 14 days to transit times and creating port congestion at both ends of the affected routes. Indian exporters with delivery obligations under letter of credit terms found themselves in technical default through no fault of their own. Marine cargo policies covered the goods in transit; they did not cover the revenue loss from delayed delivery or the contractual penalties from missed shipment windows. Contingent BI policies, where they existed, generally required a physical loss trigger at a named supplier or customer, which a blocked waterway did not satisfy.

The April to May 2022 Shanghai COVID lockdown was a more sustained and specifically China-origin disruption. Shanghai port handled approximately 47 million TEUs in 2021, roughly the same volume as the next three Chinese ports combined. When Shanghai entered a two-month lockdown in spring 2022, outbound container movement slowed dramatically. Indian manufacturers sourcing components from the Yangtze River Delta faced weeks-long delays followed by a surge of simultaneously released containers, creating congestion at Indian ports. Electronic component shortages were the most acute consequence, with Indian electronics assemblers and automotive OEM suppliers reporting 4 to 8 week production gaps.

The insurance response in both cases was largely absence. Standard CBI extensions had no physical damage trigger to activate. Marine policies covered the goods themselves but not the production downtime. Manufacturers who had purchased trade disruption insurance (a specialty product available from a limited number of global carriers, typically placed through London or Singapore) had some recovery; those relying on standard market products had none. The gap between what happened and what insurance covered drove the post-2022 acceleration in Indian corporate interest in contingent BI, trade disruption insurance, and parametric alternatives.

Two insurance products sit at the centre of supply chain concentration risk transfer for Indian manufacturers: contingent business interruption (CBI) and trade credit insurance.

CBI insurance covers loss of profits when the insured's operations are disrupted due to physical damage at a supplier's or customer's premises from an insured peril. The key word is physical damage. CBI responds to a supplier factory fire in Pune or a warehouse flood in Surat; it does not respond to a Chinese port lockdown, a trade sanctions event, or a logistics corridor congestion caused by infrastructure failure rather than physical damage to a specific property. In the Indian market, CBI is available as an extension to the standard BI policy, typically with sub-limits of INR 1 crore to INR 5 crore for most mid-market placements. As the supply-chain-risk-quantification-insurance-mapping-india analysis demonstrates, these sub-limits are almost universally inadequate for manufacturers whose top three supplier dependencies represent INR 15 crore or more of quarterly revenue.

Trade credit insurance addresses a different but related exposure: the risk that a buyer fails to pay for goods already shipped. For Indian manufacturers exporting under China+1 demand, trade credit covers non-payment due to buyer insolvency, protracted default, or political risk in the buyer's country. The two principal providers in India are ECGC (Export Credit Guarantee Corporation, a Government of India entity) and private market insurers including Euler Hermes (now Allianz Trade), Atradius, and Coface operating through IRDAI-licensed fronting arrangements. ECGC's Short-Term Multi Buyer (STMB) policy covers export receivables from multiple buyers under a revolving credit limit, and its premium rates for 2025-26 ranged from 0.3 to 0.8 percent of insured export turnover depending on buyer country risk grade and industry sector.

For Indian manufacturers newly entering export markets as China+1 beneficiaries, trade credit insurance solves a specific problem: the buyer is often a new relationship without payment history, and the receivable is material relative to the manufacturer's balance sheet. A PLI-scheme electronics manufacturer with INR 300 crore in annual revenue taking a single order for INR 40 crore from a European OEM faces a concentration risk on the receivable side that trade credit insurance addresses.

The structure of CBI coverage, specifically whether it covers named suppliers only or also unnamed suppliers, is the most consequential underwriting decision for a company managing China+1 supply chain risk.

Named supplier CBI requires the policyholder to schedule specific suppliers in the policy, identifying them by name and location. Coverage is available up to a specified sub-limit for each named supplier. The advantage is clarity: when a named supplier suffers a fire, the trigger and the claimant are both unambiguous. The disadvantage is that schedules become outdated. A company that adds three new Chinese component suppliers in response to reshoring customer demand may not update its CBI schedule until renewal. If one of the unscheduled new suppliers suffers a fire, there is no coverage.

Unnamed supplier CBI provides coverage for disruptions at any supplier, whether or not specifically listed, but with a lower aggregate sub-limit. Unnamed coverage acts as a safety net for unanticipated supplier disruptions but is typically sub-limited at a level that is inadequate for disruption from a major dependency. The sub-limit architecture matters: an unnamed supplier blanket of INR 2 crore on an overall BI sum insured of INR 20 crore provides meaningful protection against minor disruptions but trivial protection against a sustained major-supplier failure.

For Indian manufacturers with significant China-sourced input dependency, underwriters face two challenges. First, Chinese suppliers are often not household-name entities that underwriters can independently verify for property protection quality. A factory in Dongguan or Suzhou may have no English-language loss history, no third-party certification that an Indian or London underwriter can verify, and no risk engineering survey on file. This raises the uncertainty around loss probability and severity, leading underwriters to apply higher sub-limits or lower coverage limits for named Chinese suppliers compared to equivalent Indian or OECD-country suppliers.

Second, the geopolitical disruption scenario, which is the most plausible and practically damaging supply chain scenario for Indian manufacturers sourcing from China, is specifically excluded from standard CBI. A tariff escalation event, a unilateral export restriction on a specific component category (as China applied to rare earth elements in 2023 and graphite in late 2023), or a broader trade sanctions scenario does not involve physical damage to a supplier's premises. The CBI trigger is absent, and the loss is uninsured.

Some underwriters are willing to write CBI with a broader trigger that includes supplier insolvency or specific named event scenarios, but these products require specialist placement, typically through Lloyd's syndicates or Singapore market carriers, and premium is substantially higher than standard CBI. The broker's role is to identify which underwriters are active in this space and structure the coverage language to capture the scenarios most relevant to the specific supply chain.

India's Production Linked Incentive (PLI) scheme, which covers 14 sectors as of 2025-26 including electronics, pharmaceuticals, automobiles, advanced chemistry cells, textiles, and food processing, creates a specific set of supply chain insurance needs that most scheme participants have not yet fully addressed.

PLI incentives are paid as a percentage of incremental production above a base year, subject to the manufacturer meeting minimum investment and production thresholds. In FY 2024-25, the PLI scheme for mobile phone manufacturing (PLI tranche 1 and 2) paid out approximately INR 4,200 crore in incentives across approved applicants. The incentive structure creates a financial exposure that most risk managers have not mapped to insurance: if a supply chain disruption causes a PLI-eligible manufacturer to miss its production threshold in a qualifying year, it forfeits the PLI incentive for that year. The incentive foregone is not a covered loss under any standard property or BI policy because it is a government incentive, not operating profit.

This is a material gap for PLI manufacturers in sectors with thin margins. An electronics assembler operating on a 4 to 6 percent net margin may have a PLI incentive of 4 to 6 percent of eligible sales, meaning the PLI incentive is equivalent to the entire operating profit margin. A supply chain disruption that reduces eligible production by 30 percent for a quarter does not just reduce that quarter's operating profit, it reduces the PLI incentive for the full year if the annual threshold is not met.

The insurance market does not yet have a standard product for PLI incentive forfeiture risk. Some specialty underwriters can construct a contingent revenue policy that includes government incentive income as part of the indemnifiable gross profit calculation, but this requires bespoke policy wording and is subject to underwriter appetite. IRDAI's product development circular guidelines allow insurers to develop non-standard products through the individual approval route, and a few insurers have explored PLI-linked BI products through the IRDAI sandbox.

Beyond PLI incentive risk, scheme participants face amplified supply chain concentration risk because their business model requires rapid scale-up of production. A manufacturer committing to INR 500 crore of incremental investment in electronics assembly under the PLI scheme cannot afford multi-month supply disruptions during the ramp-up phase: the production shortfall in year two of the scheme may disqualify the applicant from the incentive for that year and trigger claw-back provisions for year one. The concentration of supply chain risk during the ramp-up phase is highest precisely when the company's financial resilience is lowest.

Where conventional CBI does not respond to the most plausible supply chain disruption scenarios, parametric insurance provides an alternative trigger mechanism. Instead of requiring physical damage at a specific supplier's premises, a parametric policy pays a pre-agreed sum when a defined index or event condition is met, regardless of whether the policyholder can document a corresponding physical loss at a counterparty location.

For China+1 supply chain risk, three types of parametric triggers are relevant.

Port congestion triggers pay when a defined port's average container dwell time, as reported by a specified official source such as the Indian Ports Association or Shanghai International Port Group's weekly data, exceeds a threshold for a specified period. A dwell time exceeding 15 days for 21 consecutive days at Shanghai port could trigger a payment calibrated to the policyholder's expected revenue loss from the resulting input shortage. This directly addresses the Shanghai lockdown scenario that standard CBI missed in 2022.

Shipping rate triggers pay when spot freight rates on a defined trade lane, as reported by Drewry's World Container Index or the Baltic Freight Index, exceed a threshold for a specified period. A 200 percent spike in Shanghai-to-Nhava Sheva rates indicates severe supply chain stress, and a parametric payment triggered by this threshold provides liquidity to source air-freight alternatives without requiring a specific supplier loss.

Geopolitical trade restriction triggers are the most complex and least standardised. A policy that pays when a specific government announces an export restriction on a defined commodity category (for example, China announcing controls on rare earth element exports to India) requires careful definition of the trigger event, a verifiable independent data source (typically official government gazette announcements), and legal analysis of any applicable sanctions or trade law compliance requirements. These products exist in the London specialty market and have been placed for Indian buyers on a bespoke basis, but they are not yet a standard market product in India.

Parametric structures have two advantages over CBI for China+1 risk: they pay on occurrence of the defined event without requiring loss documentation, and they are not subject to the physical damage trigger limitation. The disadvantages are basis risk (the parametric payment may not exactly match the actual loss) and basis law complexity (parametric products in India require careful IRDAI compliance review, as the standard indemnity principle does not apply to parametric structures and specific product approval or sandbox routing may be required).

A manufacturer participating in or supplying to China+1 demand chains should structure its insurance programme around three layers of supply chain risk.

Layer one is conventional CBI with adequate sub-limits and a carefully maintained named supplier schedule. For the top five input suppliers by revenue dependency, named supplier sub-limits should be set at the actual revenue-at-risk for a 90-day disruption, net of the waiting period. The parametric for the single largest supplier dependency should drive the minimum CBI sub-limit calculation. Do not accept the market default of INR 1 crore or INR 2 crore sub-limits; these are market convention, not risk-based sizing.

Layer two is trade disruption insurance for scenarios where the CBI trigger fails. This product, available from London and Singapore specialty carriers through an Indian broker with London market access, covers financial losses from port closures, sanctions events, trade embargoes, and supply chain blockages that do not involve physical damage at a specific supplier location. Premium for a mid-sized Indian manufacturer is typically 0.5 to 1.5 percent of insured turnover at risk, depending on the trade routes and source countries covered.

Layer three is parametric cover for the highest-probability non-damage scenarios. For manufacturers heavily dependent on China-origin inputs, a port congestion or freight rate parametric trigger can provide immediate liquidity when a major disruption occurs, before the loss documentation required for CBI or trade disruption claims is assembled. Parametric payments typically settle within 14 to 30 days of trigger confirmation; conventional claim settlements for complex supply chain BI losses take 90 to 180 days.

Across all three layers, the programme should be reviewed at each annual renewal against the company's current supplier map. Supply chain composition changes faster than insurance renewal cycles when companies are actively reshoring or diversifying. A named supplier schedule that was accurate at inception may be materially outdated 18 months later. Build a supply chain insurance review into the quarterly risk register update process, not just the annual renewal cycle.