Global Ocean Accounts Partnership Secretariat · GOAP Technical Guidance on Ocean Accounting · circular
This Circular provides guidance on compiling indicators of ocean-related investment within the Ocean Accounts framework. Understanding the scale, composition, and trends of ocean-related investment enables policymakers to assess whether sufficient resources are being directed towards sustainable ocean development and conservation, including the targets set under SDG 14.7 (increasing economic benefits from the sustainable use of marine resources) and SDG 14.5 (conserving at least 10 per cent of coastal and marine areas).
Upon completing this Circular, readers will understand how to measure gross fixed capital formation (GFCF) in ocean industries using thematic and extended accounting principles from the System of National Accounts, compile indicators of public and private ocean investment disaggregated by sector and purpose, track sustainable ocean finance instruments including blue bonds and ESG-classified marine investments, and develop investment tracking methodologies that integrate physical and monetary data. Decision use cases for these indicators include tracking the effectiveness of blue bond proceeds in achieving marine conservation targets, measuring ocean-related GFCF as a share of national capital formation to inform infrastructure planning, and aligning investment reporting with TNFD and IFRS sustainability disclosure frameworks. The guidance supports the compilation of investment indicators consistent with SNA 2025 concepts that can be linked to TG-0.1 General Introduction, TG-0.2 Standards Overview, and the economic activity accounts in TG-3.3 Economic Activity Relevant to the Ocean.
Investment indicators derived from this guidance support analysis of ocean economy development pathways (TG-2.5 Ocean Economy Structure), sustainable finance monitoring (TG-1.7 OA and Multilateral Development Finance and TG-1.8 OA and Project-Level Finance), and resource efficiency assessment (TG-2.11 Resource Efficiency).
This Circular requires familiarity with:
Investment in the ocean economy encompasses the acquisition of fixed assets by enterprises and government for the production of ocean-related goods and services, as well as targeted expenditure on marine environmental protection and ecosystem restoration. This Circular applies the GFCF framework from the System of National Accounts, supplemented by functional classifications for environmental expenditure and emerging standards for sustainable finance reporting.
Investment in the ocean context can be organised into three conceptual categories that reflect different motivations, sources, and measurement approaches. This three-category framework provides a useful analytical structure but is not formally standardised in the SNA or SEEA. Countries may adapt these categories based on national policy priorities, provided that classification choices are documented to support transparency and comparability across compilations.
Four classification decisions govern what an ocean investment compilation may count, and all four are specified in TG-3.3 Economic Activity Relevant to the Ocean Section 3.6: the basic/intermediate/extended scope tiers; the capitalisation decision tree for restoration expenditure, which determines whether mangrove planting or reef restoration is GFCF or current expenditure; residence and economic ownership for vessels and offshore installations, including the flags-of-convenience and ABNJ cases; and the GFCF/EPEA boundary rule that prevents coastal protection structures being counted twice.
Two of these bear directly on how the indicators below should be read. A compilation at basic tier should not be presented as exhaustive of ocean-related investment. And the scope tiers are orthogonal to the data-maturity pathway in Section 3.5 (Foundational, Developing, Advanced): the first says what to measure, the second what a compiler can produce from available data. A country at an early data-maturity stage may still target extended scope, and conflating the two understates what a compilation is aiming at.
Table 1 provides an overview of the principal types of ocean-related investment, their treatment in the SNA framework, illustrative ocean examples, and typical data sources for compilation.
Table 1: Ocean Investment Classification
Ocean investment indicators are derived from the broader national accounts framework and should be consistent with national totals. The ocean economy thematic and extended account structure described in TG-3.3 Economic Activity Relevant to the Ocean provides the organising framework. Within this structure:
Investment measurement follows the residence principle of the SNA, attributing investment to the economic territory where the producing unit is resident. The governing attribution principle is economic ownership: the residence of the institutional unit that bears the economic risk and reward associated with the asset, not the flag of registration. For ocean activities, this creates specific considerations:
Worked example — flags of convenience. A vessel legally registered in Country A (an open registry), economically owned by an enterprise resident in Country B, and operated under a bareboat charter to a fishing company resident in Country C, is attributed to Country B for GFCF purposes, as Country B’s enterprise bears the economic risk and holds title to the asset. Country A records no GFCF for the vessel. Its open-registry function does not confer economic ownership. For compilers in jurisdictions with large open registries or large beneficial-ownership shipping sectors, this distinction is material. See BPM7 Chapter 4 (Institutional Units and Sectors, Economic Territory, and Residence), paragraphs 4.214-4.220, for the corresponding treatment in external sector statistics.
The treatment of maritime investments has been clarified in SNA 2025, which provides guidance on the economic ownership of ships and offshore structures. For areas beyond national jurisdiction (ABNJ), the 2025 SNA notes that “where there is interest in organising data about these types of natural capital outside of the scope of the integrated framework of the SNA … the accounting definitions and treatments of the integrated framework of the SNA and the SEEA can be applied”. That approach is relevant for investment in activities spanning EEZ and high seas areas. The entry into force of the BBNJ Agreement on 17 January 2026 may introduce new governance arrangements with implications for statistical treatment of investment in ABNJ. Compilers should monitor developments in this area and consult TG-6.6 Deep-Sea and ABNJ for further guidance on accounting for activities in these zones.
Interim guidance for ABNJ-adjacent investment. Pending updated guidance from GOAP or the UN Statistics Division on BBNJ-related statistical treatment, compilers preparing 2025 and 2026 ocean accounts should:
Measurement of public investment draws on government finance statistics and the Classification of the Functions of Government (COFOG).
Table 3.2.1 below summarises the principal categories of government capital formation in ocean industries.
Where government GFCF is recorded by function using COFOG, the following classes are relevant to ocean investment:
Isolating maritime transport within COFOG 04.5. The international COFOG standard halts at the 4-digit class level (04.5.2 Water transport), and in most countries COFOG 04.5 as a whole aggregates road, rail, air, and water transport spending. To isolate the maritime component, compilers should triangulate using supplementary administrative sources, including:
There is no UN-issued fourth-level standard disaggregation for maritime transport within COFOG 04.5. Any sub-class breakdown is a national or regional statistical extension and should be documented as such.
The Statistical Framework for Measuring the Sustainability of Tourism (SF-MST) notes that “government gross fixed capital formation may also be classified using COFOG and hence data for expenditures following the same classes … may be available”. This approach can be adapted for ocean economy measurement. Guidance on integrating government fiscal classifications with ocean accounts is provided in TG-1.1 Budget Processes, which addresses COFOG concordances and the mapping of budget line items to ocean economy categories.
The SEEA Central Framework’s Environmental Protection Expenditure Account (EPEA) can be adapted for marine contexts. Table 3.2.2 below summarises relevant expenditure categories for ocean protection.
Government environmental protection expenditure encompasses both current expenditure (operational costs of protection activities) and capital expenditure (investment in environmental protection infrastructure and equipment). The SEEA defines total national expenditure on environmental protection as including final consumption, intermediate consumption, and gross fixed capital formation on all environmental protection goods and services, plus capital formation for characteristic activities, plus relevant transfers.
From the public investment data, the following indicators can be derived:
Measurement of private investment draws on business survey data, administrative records, and estimation techniques that identify the ocean-related component of broader industry investment.
Following the industry classification approach in TG-3.3 Economic Activity Relevant to the Ocean, private sector GFCF can be compiled for core ocean industries and ocean-related industries.
Core ocean industries where investment is entirely ocean-related:
Ocean-related industries where the ocean component of investment must be estimated:
For industries only partially related to the ocean, the methods for determining ocean-related shares described in TG-3.3 Economic Activity Relevant to the Ocean (specifically, the supply-use approach for estimating ocean ratios) can be applied to investment data. Important methodological caveats on applying GVA-derived ocean ratios to GFCF are set out in Section 3.5 Step 3.
For ocean industries, relevant fixed asset categories include:
Inventories (not GFCF but relevant for ocean economy measurement):
Table 2 provides an illustrative asset breakdown for the aquaculture sector to demonstrate how investment can be disaggregated by asset type within a single ocean industry. This template can be adapted by compilers for other ocean sectors.
Table 2: Illustrative Asset Breakdown — Aquaculture Sector Investment
WARNING — do not use as default imputations. The ranges in Table 2 are presented for orientation only. They reflect cross-country variability across species, production systems, and stages of sector development, and must not be used as default imputations where national data are absent. Compilers without national survey or registry data on aquaculture asset composition should report the disaggregation as “not available” rather than substituting these ranges, and should source actual shares from national capital expenditure surveys, aquaculture census data, or sector-specific appraisal records before publication.
Corporate investment in environmental protection technologies represents a specific component of ocean-related GFCF. Such investment is sometimes called “end-of-pipe” or “integrated”. The SEEA distinguishes:
These investments contribute to both ocean economy development and marine environmental protection. They sit at the nexus of the economic and environmental dimensions of ocean accounting. The SEEA notes that “estimating the expenditure on integrated investments requires consideration of the general concerns in respect of measuring adapted goods” including the challenge of defining reference technologies against which “cleaner” alternatives can be compared.
From the private investment data, the following indicators can be derived:
Sustainable ocean finance (often termed “blue finance”) comprises financial instruments where proceeds are directed to activities that sustain or improve marine and coastal environmental conditions. This includes:
Blue debt securities — use-of-proceeds instruments — debt where proceeds are earmarked for ocean-positive activities:
Blue debt securities — performance-linked instruments (extended scope) — debt whose classification depends on the issuer’s stated ocean-related performance targets rather than the use of capital raised:
Blue loans — loans where a significant share of the debtor’s activities improve marine environmental conditions:
Blue equity — equity investments in enterprises whose activities predominantly improve marine conditions:
The SNA recommends that sustainable finance be compiled as supplementary “of which” items within the financial accounts. That treatment allows tracking without disrupting the standard accounts structure. The classification follows Table 35.3 of SNA 2025, which distinguishes debt securities, loans, equity, and investment fund shares/units, with “of which” items for ESG and green classifications.
Distinguishing use-of-proceeds from performance-linked instruments. Blue bonds and earmarked blue loans direct identified capital to ocean-positive activities. Sustainability-linked bonds (SLBs), by contrast, have general use of proceeds with coupon step-ups (or other financial features) tied to the issuer meeting defined KPIs. An SLB with an ocean-related KPI signals issuer commitment but does not direct capital to ocean activities. If the KPI is missed, the coupon increases but the proceeds remain unaffected. For this reason:
In the absence of a single agreed international blue finance taxonomy, compilers should apply the following three-tier minimum classification protocol so that figures are comparable across countries and over time even before harmonisation:
A standard metadata template should accompany each published blue finance figure, recording instrument type, issuer name and sector, jurisdiction, taxonomy or criteria applied, verification status, use-of-proceeds versus performance-linked treatment, reporting period, and whether the figure is a stock or a flow. This follows the metadata transparency expectation in SNA 2025 paragraph 35.125.
At the time of drafting, no universally agreed “blue finance” taxonomy exists at the international level, although several regional standards provide partial coverage. The EU Taxonomy for sustainable activities includes technical screening criteria for activities contributing to the sustainable use and protection of water and marine resources, and several other jurisdictions are developing similar standards. Compilers should document which definitions and taxonomies are applied in their compilations and monitor developments in international standard-setting for blue finance classification to support future comparability.
Measurement of sustainable ocean finance is most useful when linked to environmental outcomes. The SNA 2025 notes that “to support assessments of the effectiveness of sustainable finance, it is relevant to present data on the levels of investment in ESG and green activities … alongside data about the outcomes arising from that activity”. For marine contexts, this means presenting blue finance data alongside:
This integration is addressed in TG-3.1 Assets and TG-3.2 Flows from the Environment to the Economy. Detailed guidance on structuring project-level blue finance instruments, including blue bonds, debt-for-nature swaps, and results-based finance, is provided in TG-1.8 OA and Project-Level Finance. This Circular focuses on the indicator derivation and statistical measurement aspects. Compilers should consult TG-1.8 for instrument-specific design and structuring guidance.
Ocean Accounts compiled under TG-2.6 provide a macro-level baseline against which entity-level sustainability disclosures by financial institutions and corporates can be contextualised. The crosswalk below maps TG-2.6 headline indicators to the corresponding entity-level metrics in TNFD, IFRS S2, and GRI 304 (with GRI 101: Biodiversity 2024 noted as the successor standard where adoption proceeds).
Entity-level reporters use TG-2.6 indicators to (i) contextualise their own ocean-related disclosures against the national baseline, (ii) report consistent jurisdictional coverage of ocean activities, and (iii) demonstrate consistency between firm-level and national investment trends. For the institutional and instrument-level dimensions of this linkage, see TG-1.7 OA and Multilateral Development Finance and TG-1.8 OA and Project-Level Finance.
From sustainable ocean finance data, the following indicators can be derived. Use-of-proceeds and performance-linked instruments are reported in separate rows to preserve their distinct analytical meaning.
Effective tracking of ocean investment requires integration of multiple data sources, consistent application of classification criteria, and documentation of methods to ensure comparability over time and across countries.
The full seven-step procedure below assumes balanced supply-use tables, capital expenditure surveys, EPEA returns, and securities-market data, infrastructure that many small island developing States (SIDS) and least developed countries (LDCs) do not yet maintain. This Circular therefore sets out a three-tier pathway. Compilers should declare which tier their compilation reaches, and progress through the tiers as national statistical infrastructure develops.
These data-maturity tiers (Foundational, Developing, Advanced) describe what a compiler can produce given available data. They are distinct from, and orthogonal to, the normative scope tiers in Section 3.1 (Basic, Intermediate, Extended), which describe what to measure. The labels deliberately differ to prevent the two axes being conflated: a country at an early data-maturity stage may still target extended scope. Figure 2.6.1 depicts this data-maturity compilation pathway and the capabilities added at each tier.
· Figure 2.6.1
Source TG-2.6 §3.5 (tiered compilation pathway).
The seven-step procedure that follows is written for the Advanced tier. Foundational and Developing compilers apply only the steps relevant to their available data sources, and document the limitation explicitly in methodological notes.
Step 1: Identify ocean industries. Identify relevant ocean industries following the procedure in TG-3.3 Section 3.4, to which TG-2.5 defers its Steps 1—5.
Step 2: Extract GFCF data from national accounts. From the balanced national supply and use tables, extract the GFCF column for each identified ocean industry. If national SUTs aggregate industries above the ISIC class level, use supplementary business surveys or administrative records to disaggregate the relevant investment data. The GFCF column in the Use Table (see TG-3.3 Section 3.4, Table 1) provides investment by product category, and the GFCF row by industry provides investment by producing industry.
Step 3: Apply ocean economy ratios — documented fallback method. For partially ocean-related industries where direct GFCF data are unavailable, multiply the GFCF by the ocean economy ratio estimated in TG-3.3. For example, if 40 per cent of coastal accommodation output serves marine tourism, apply a 0.40 ratio to the GFCF in accommodation.
Methodological caveat. The ocean ratios in TG-3.3 are typically derived from output or GVA data. Applying them to GFCF assumes that the ocean sub-segment of a partial industry has the same capital intensity as the non-ocean sub-segment of the same ISIC class. This proportionality assumption is known to fail where the ocean sub-segment is structurally more or less capital-intensive than its non-ocean counterpart. For example, ocean-facing coastal accommodation tends to have higher per-unit capital than inland accommodation in the same ISIC class, and fish processing plants serving marine catch may differ in equipment intensity from those serving freshwater species.
For this reason:
Step 4: Disaggregate investment by asset type. Using business survey data or administrative records (vessel registries, port authority investment plans), disaggregate ocean economy GFCF into asset categories: dwellings and buildings, other structures, transport equipment (vessels), machinery and equipment, and intellectual property products. This disaggregation follows the SNA asset classification (SNA 2025 Chapter 11) and enables analysis of the composition of ocean investment.
Vessel valuation — methods for converting registry data to monetary GFCF. Vessel registries typically record physical characteristics (gross tonnage, deadweight, build year, vessel type) rather than monetary value. To convert physical fleet additions into GFCF-compatible monetary values, compilers can apply one or more of the following methods, in approximate order of consistency with SNA GFCF measurement:
For integration of registry, administrative, and survey sources, see TG-4.3 Administrative Data.
Step 5: Compile government ocean investment from fiscal data. Extract government GFCF from government finance statistics, identifying ocean-related functions using COFOG classes (04.2, 04.5, 05.3, 05.4) and applying the Section 3.2 guidance for isolating the maritime component of COFOG 04.5 and avoiding GFCF/EPEA double counting. Compile government environmental protection expenditure (current and capital) for marine purposes from EPEA data sources. The methodological guidance in TG-1.1 Section 3.3 addresses the mapping of COFOG classes to ocean functions.
Step 6: Compile sustainable ocean finance indicators. Identify blue bonds, blue loans, and other sustainable finance instruments from financial market data, central bank statistics, and securities regulator records. Classify instruments using the three-tier protocol in Section 3.4 (self-labelled, verified, criteria-documented), keeping use-of-proceeds instruments and SLBs with ocean KPIs in separate rows. Document the taxonomy or criteria applied (e.g., EU Taxonomy, Climate Bonds Initiative marine criteria, ICMA blue economy guidance).
Step 7: Reconcile and validate. Ensure that the sum of ocean economy GFCF by industry is consistent with (though not necessarily identical to) the corresponding industries’ investment in the broader national accounts. Document any adjustments made for ocean-specific estimation. Validate totals against alternative data sources (e.g., vessel registry investment records, port authority financial statements).
Table 3 presents a worked example showing how ocean investment indicators can be compiled and presented for a hypothetical coastal state (“Country B”). All monetary values are in millions of USD. Stocks and flows are presented in separate panels and are not directly comparable: flow measures relate to transactions during the reporting period, whilst stock measures relate to the position at end of the reporting period.
Table 3: Ocean Investment Tracking — Country B (Illustrative)
Panel A — Flow measures (during Year T)
Panel B — Stock measures (at end of Year T)
The data in Table 3 reveal several structural patterns. Ocean economy GFCF (Panel A) totals USD 860 million, representing 4.5 per cent of national GFCF, with private investment (USD 735 million) substantially exceeding government investment (USD 125 million). Offshore energy dominates private ocean investment at 43 per cent of private ocean GFCF. Offshore oil, gas, or wind operations are capital-intensive. Government ocean investment is concentrated in port infrastructure (68 per cent of government ocean GFCF), consistent with the public good characteristics of maritime transport infrastructure. Marine environmental protection expenditure (USD 80 million) is additional to GFCF and reflects ongoing operational and capital costs for marine conservation. The sovereign blue bond issuance of USD 200 million exceeds total government ocean GFCF. That gap suggests blue bond proceeds are being directed towards a mix of capital investment and operational marine conservation programmes.
Compilers should reproduce the Table 3 structure with their own data, leaving the “Source” and “Notes” columns to document local data decisions.
Ocean investment data can be derived from several sources:
National accounts and business statistics:
Government finance statistics:
Financial sector data:
Administrative and specialised sources:
For guidance on survey methods and administrative data integration, see TG-4.2 Survey Methods and TG-4.3 Administrative Data.
Compilers should:
For reconciliation to national totals and capitalisation thresholds, see Step 7 above.
Investment data quality should be assessed against dimensions of data quality established in statistical frameworks:
A recommended reporting structure includes:
Authors: [To be confirmed]
Reviewers: [To be confirmed]
For additional guidance on the topics covered in this Circular, see:
Cite this report
Ocean-related Investment (2026) (GOAP Technical Guidance on Ocean Accounting, TG-2.6, v0.7.2). GOAP Secretariat. https://guidance.oceanaccounts.org/circulars/section-2/2-6-ocean-investment/
guidance.oceanaccounts.org/circulars/section-2/2-6-ocean-investment
© 2026 Global Ocean Accounts Partnership Secretariat · CC BY-NC 4.0 · The report, its PDF and this deck are built from the same source.
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