Black Paper

“The wine is made from plantain, but even if it turns sour, it is our wine.” José Martí’s line from Nuestra América is the right opening for this Black Paper because it states the core political principle in plain terms: institutions must be built from the realities of our own societies, not enforced from external powers. Decolonial accounting begins from that principle. It treats accounting as both revolution and self-determining and asks who defines value, who sets measurement rules, and who decides the terms of market entry.

An earlier post, “Jiangxi Trade: How the EU co-opts BRICS without joining it” addresses the theme of Section 5 that includes my summaries of how the EU-Mercosur and EU-India FTA is harmonized with the SDG-SNA-SEEA environmental accounting integration. In a later chapter, the Black Paper also includes the CPTPP, and considers the alternative: the RCEP, and the BRICS “CGETI” paper (Contact Group on Economic and Trade Issues). (Abbreviation guide and links to key texts are annexed).

This Black Paper argues that accounting systems are not neutral statistical instruments, but rather the very foundation of governance infrastructure.

Through standards, reporting protocols, audit chains, and compliance interfaces, accounting intermediaries shape access to finance, trade, and development policy. Control over metrics is control over sovereignty. The conditions of exclusion that follow from that control will keep reproducing unfair development access until the control itself is relocated.

When environmental data and metrics are governed by these rules, our environments are authored elsewhere and enforced through validation monopolies. That leaves very little room to develop local markets, transfers, or exchanges — and the multi-trillion dollar markets being built around natural capital will be inaccessible to the communities that actually steward it.

Those valuations will be intermediated by the same large financial firms that already dominate government bond markets through index construction, fund management, custody, and risk analytics. I am not claiming debt drives natural capital valuation. I am noting that both numbers are so large they function politically. They make new governance systems feel inevitable, and they privilege the institutions that already control measurement, compliance, and capital access.

A decolonial accounting program therefore sets a concrete objective: restore policy sovereignty over valuation, data custodianship, and verification so they are accessible to people — to the “uncles and aunties” networks in communities. Environmental and social data generated in the Global South should not feed external rent extraction. It should be governed through local-custody rules, Free Prior and Informed Consent (FPIC), public-interest verification, and enforceable benefit-sharing. Interoperability remains necessary, but it must be negotiated on reciprocal terms, with community and state authority.

How revolution unfolds

Decolonize accounting is urgent. Accounting rules function as instruments of geopolitical management, and these rules converge as a stack of the largest institutional gatekeepers to market access: auditors, index providers, rating agencies, and asset managers. (Annex 1)

National accounts were initially organized to coordinate state production, employment, and planning across imports, exports, and transport. Over time, the richest countries — the OECD bloc — repurposed them into a hegemonic system of standards and thresholds that restricts market access and guards the gate of development gains.

The problem persists through each major transition of the modern order. Postwar institutions standardized metrics and linked them to development finance, trade access, and macroeconomic conditionality. Security-state expansion after September 11 fused the treatment of military accounts with compliance administration across finance, borders, and data systems. The 2008 crisis accelerated concentration in Assets Under Management and strengthened private intermediary control through ratings, audit, and verification chains. The post-COVID cycle extended these dynamics through platformized governance, digital infrastructures, and intensified dependence on externally authored technical standards. The language changes from crisis to crisis. The asymmetry only grows.

Under this system, global crisis reorganizes economic power, and Global South economies play catch-up, conforming to rules they did not write. The objective is not to seize control of those rules the way the American Revolution swapped one colonial authority for another. The objective is to build new structures of economic engagement — as China’s revolution did, by reordering the accounting matrix under a national accounting system that served different priorities.

Under Mao-era MPS (Material Product System) planning, Chinese statistical work tracked “social purchasing power” as a balance category — a way to measure that financial demands could be brought to the consumer-goods market and kept aligned with available supplies for community households. That is a different accounting priority than the SNA’s growth-first aggregates. It shows how a reordered accounting matrix can provide both stability and legitimacy rather than only prioritizing commodity market valuation. (Chen, p.88)

The current harmonization wave deepens this structural continuity. SDG reporting, SNA revisions, environmental-economic accounting, and trade-linked due-diligence regimes are increasingly integrated in ways that condition market access on externally legible data production. Producers and states must continually prove conformity through costly intermediary systems they do not govern. The distributional outcome is predictable. Large firms with certification capacity and financial actors who can securitize data gain leverage. Small producers, indigenous and customary stewards, and fiscally constrained states absorb the costs and the exclusion.

This Black Paper responds to that specific historical condition. It is not a rejection of standards or cooperation. It is a program to relocate authority over valuation, data custodianship, verification, and remedy so that interoperability does not require surrendering jurisdiction. Without that relocation, harmonization will keep reproducing colonial hierarchy under technical language. The purpose of this Black Paper is to advance an accounting program that can be redirected toward ecological restoration, social reproduction, and sovereign development.

The intervention is urgent because harmonization is accelerating to meet the 2030 Development Agenda. State-backed investment regimes are already using technical compliance language to hardwire new control mechanisms into trade administration. But there is enough time to say no, or wait, and to propose alternatives.

Behind the paywall is a condensed Section 1, index, and background treating accounting as institutional power, testing each governance layer with four questions: who sets the rules, verifies compliance, captures rents, and bears most of the adjustment costs to the SDG-SNA-SEEA nexus.

Decolonize Accounting is a reader-supported publication. There was a paywall here and maybe you’d be more likely to read further if you paid for the article, lol. If you read this far, what follows are the nuts and bolts.

SDG-SNA-SEEA harmonization as a container for economic environmental governance

This section treats accounting as institutional power, testing each governance layer with those four questions. Section 4 applies that method to the SDG-SNA-SEEA nexus.

A textual note is necessary before going further. These frameworks are vast, internally cross-referenced, and written in a highly specialized language. That opacity is not accidental. Terminology, classification, and grammar function as expert gates. The legal, statistical, and audit capacity required to pass through those gates is something many communities and administrations in the Global South cannot afford.

Some of these observations are textual, but none of them are superficial. I try to address structural contradictions between stated intent and operational practice. How do definitions, classifications, and reporting rules shape what can be counted, what can be funded, and what becomes actionable? How does compliance language displace customary authority and local knowledge even when inclusion is the stated goal?

The core is the 2025 SNA. As the updated international standard for national accounts, it expands the scope and integration of macroeconomic statistical practice from the 2008 system. The SEEA Central Framework (2021) is already recognized as the international standard for integrating environmental information with economic accounts, and it explicitly uses SNA concepts and accounting structures. The UN’s SDG reporting architecture then frames implementation and monitoring through standardized indicators and global compliance, delivered through programs like the EUDR, CBAM, or INSPIRE, and enforced through an army of NGOs acting as compliance gatekeepers for private investment capital.

Read together, those three systems look less like specialized coordination and more like a governance stack. The SDG indicators define policy direction and performance visibility. The SNA defines macroeconomic admissibility and statistical coherence. The SEEA defines an environmental-economic integration and reporting platform. That combined architecture becomes operational through trade and regulatory channels — due diligence, traceability, transparency, and interoperability mandates. Once these measurement standards are legally interlinked, they will supply the conditions for market access. Once the intermediaries of that market are codified in the agreements, alternative methodologies that could benefit community reporting will be very difficult to develop.

Ecological accounting should function primarily as a regulatory accounting discourse rather than a wealth-accounting discourse. The World Bank’s wealth frameworks broaden national asset narratives well beyond GDP, including natural and human capital. Those metrics can improve policy diagnostics. But they can also increase pressure to standardize valuation and verification through external templates when governance authority sits outside the communities who bear the work of stewarding land, water, and biodiversity — outside those who farm, raise livestock, and fish. The same pattern appears in digital and environmental data systems. Who defines data categories, audit rules, and interoperability standards controls how labor is recognized and how material value is assigned.

A concrete example makes the difference between regulatory and wealth-framed approaches clear. Losing ten or twenty pounds requires modest changes in diet and activity — a local, practical adjustment. Yet the dieting and processed food industries have built a multi-billion dollar commercial ecosystem around that basic task: plans, products, subscriptions, monitoring tools. Guidance and verification becomes a commodified service. Costs accumulate, and in many cases the financial and health burden deepens even though the original objective did not require so many layers of intermediation. Ecological accounting faces exactly that path. A regulatory orientation keeps responsibility and practice close to communities and ecosystems. A wealth orientation builds markets and financial instruments around stewardship, often shifting costs onto those doing the work while value accrues elsewhere.

This section is therefore a technical institutional analysis, not a rejection of metrics. The question is not whether harmonization exists — it does. The question is what harmonization does when coupled to compliance markets and legal enforceability. SDG-SNA-SEEA alignment will shift jurisdiction away from producing societies unless three safeguards are built in.

1. Local Data Sovereignty: communities that steward forests, reefs, watersheds, and farms control consent, access, and benefit from the data they generate.

2. Plural verification authority: admissibility and access to markets is shared across community institutions, national and local public bodies, and regional and local auditors.

3. Enforceable distributional remedy: exporters, fishers, smallholders, and customary stewards should not bear compliance costs. They have legal rights to appeal exclusion, correct records, and secure a fair share of resulting finance and market benefits.

1.1 Background: Intent versus operations

Tracking the SEEA-SNA trajectory since about 2006 drew my attention to the original aspirational objectives. Those objectives recognized that accounting preferences could shift the valuation of resource depletion and environmental degradation through measurable and non-measurable externalities, including unpriced ecosystem loss and remediation liabilities. The 2004 procedural records for the transition from the 1993 to the 2008 SNA explicitly list the methodological issues under review, including military weapons systems, financial services measurement, and asset classification — all of which later became central components of the 2008 revision (Havinga 2).

As the Statistical Division prepared for the 2008 SNA revision, the Global Financial Crisis unravelled the same year. The revision drew neither public attention nor curiosity. The 2009 Stiglitz-Sen-Fitoussi Commission report generated some discussion, but around the inadequacy of GDP rather than the SNA process itself. When the Commission concluded that GDP primarily measures market production and cannot adequately represent social progress or sustainability, it expanded public understanding of statistical systems to include quality-of-life indicators alongside traditional national accounts (Stiglitz, Sen, and Fitoussi 21). The SNA revision, however, proceeded largely unexamined.

Leading up to the financial crisis, Washington Consensus post-perestroika conditionalities had embedded neoliberal policies of privatization, deregulation, and financialization across global markets. Neoconservatism served as the security doctrine after 9/11, organizing military expansion into a form of supra-state exceptionalism. Classification rules carried political weight inside that convergence. Reclassifying military weapons systems from current expenditure to fixed assets, together with the capitalization of research and development, increased measured investment and could raise nominal GDP — making debt-to-GDP ratios appear safer even as public debt continued to rise. The BEA later reported that the 2013 comprehensive revision implementing SNA 2008 changes raised the level of U.S. GDP, with R&D capitalization accounting for the largest share of the upward revision (McCulla, Holdren, and Smith 17).

This is where SNA and the National Income and Product Accounts (NIPA) connect in practice. SNA provided the international framework, and the Bureau of Economic Analysis (BEA), which publishes NIPA, operationalized the revisions within U.S. national accounts. BEA’s 2013 comprehensive update implemented major SNA 2008 changes, including capitalization of R&D and other intellectual property, with measurable effects on U.S. GDP levels and composition (Moulton, p. 14).

Because the U.S. is a reference economy, those choices influenced international benchmarks and the policy direction of “best-practice” accounting updates in OECD and IMF-aligned economies. The relationship runs both ways: SNA shapes NIPA, and NIPA shapes SNA revisions. But in that correspondence, the people in the room are largely trained in the same programs, and they are not asking the right questions about access to markets, debt rules, and equalization. That absence is why a decolonial accounting program is now existential.

1.2. Early SEEA

The early SEEA project was framed as a satellite to the core national accounts, with explicit recognition that no full consensus yet existed for changing the SNA core. It was launched following a directive from the 1992 United Nations Conference on Environment and Development in Rio, itself following the 1983 World Commission on Environment and Development.

All the economic partners must be satisified that the basis of exchange is equitable; relationships that are unequal and based on dominance of one kind or another are not a sound and durable basis for interdependence. For many developing countries, neither condition is met. (World Commission 67)

The directive was presented as an interim framework to develop methods, standardize practice over time, and keep environmental accounting connected to policy without overloading the central system. (SEEA 1993, iii)

The early text kept degradation and depletion in direct view. Its table of contents includes “actual environmental costs,” “imputed environmental costs,” and a “maintenance cost approach,” which together attempt to estimate deterioration and sustainability-relevant adjustments, including depletion, pollution, and ecosystem damage attributable to current economic activity.

The 1993 framework also states a responsibility principle that extends beyond national borders and links environmental costs to the units immediately causing stress, even when causal chains are complex. (SEEA 1993, par. 299)

By 2012, the SEEA Central Framework was elevated to an international statistical standard and explicitly aligned for cross-country comparability and modular implementation. (SEEA 2012, iv)

Each step of standardization increases institutional authority while simultaneously narrowing what is treated inside the core agreed framework. The 2012 text states that degradation valuation topics that had been discussed extensively in earlier versions were not covered in the Central Framework and were shifted to Experimental Ecosystem Accounting. (SEEA 2012, viii) This removes the existential values that people living and stewarding their environment actually hold.

Decolonial frameworks need to measure peoples’ relationships with their environments, not commodify environments. These institutional frameworks regulate standards that have more to do with financial tables than with the interaction of putting food on the table.

In the same architecture, the Central Framework emphasizes individual environmental assets that map material inputs and stock-flow accounting, while wider ecosystem service capacity and non-material benefits are handled in complementary layers. At the macro level, this produces higher compliance burdens, weaker bargaining power, and less access to financial security for the interactions that sustain production for farmers and fisherpeople. (SEEA 2014, sec.3.6.6, p.92)

The biodiversity and natural capital guidance extends this trajectory by explicitly presenting SEEA as aligned with SNA concepts, classifications, and accounting structure so environmental data can be integrated into mainstream policy systems. (SEEA 2014, sec. 4.56, p. 104)

Statistical integration is an asymmetrical alignment with governance. Standardization is not inherently illegitimate, but it changes where power sits: from a plural, experimental accounting frontier toward a rule-governed measurement stack where jurisdiction over standards, validation, and interoperability becomes the decisive terrain. Once environmental information is made interoperable with macroeconomic reporting and compliance systems, actors that control standards, verification channels, and funding conditions gain structural leverage over what counts as valid evidence — and therefore valid policy. In concrete terms this will cover taxes, fines, rent, wages, and access to markets, again disproportionately impacting lower income households and economies. (SEEA 2014, sec. 4.133, p. 117)

Looking back, the aspirational intent of SEEA 1993 centered on the explicit treatment of degradation and depletion — the primary concerns of the 1983 World Commission. The SEEA was a cautionary satellite, critical of the extractive national accounting core inherent in GDP. It has since become a platform centered on standardized integration with the SNA as a new stack of asset-managed financial products.

1.3 The SDG-SNA-SEEA Harmonization Mechanism, or Why No Single Mechanism Exists Yet

As far as I know, no single treaty or binding legal instrument fuses SDG reporting, SNA revision, and SEEA implementation into a unified global enforcement code. Dozens of White Papers explore harmonization — which is why this is a Black Paper. What exists are modular governance shells. They can be assembled through standards, indicator metadata, statistical guidance, financing conditions, and trade-regulatory uptake. The technical architecture will become formally actualized, but we need to ensure that analytic units do not promote a single “harmonization treaty,” but an informal sequence of local capacity that can be combined for welfare policy and community market access.

The 2015 indicator consultations already showed the direction modular logic was heading. In the SDG indicator comment process, contributors and agencies repeatedly tied proposed indicators to national accounts structures, budget systems, and SEEA-compatible classifications. One clear example is the use of SEEA Environmental Protection Expenditure Accounts and environmental activity classifications to operationalize heritage and ecosystem-related indicators. That discussion shows early movement from broad goals to account-ready formats that can be audited and compared across jurisdictions. (UNSD-IAEG 2015, 45)

The same consultation document flags data gaps, tier issues, and disaggregation demands — meaning harmonization pressure was present even before full statistical readiness was published.

1.3.1 SEEA’s own design makes this coupling possible. The Central Framework was built to use SNA concepts and structures, and it was explicitly adopted as an international statistical standard with flexible and modular implementation.

Its core logic is to integrate physical and monetary supply-use tables, asset accounts, and compliance methodology so environmental information falls within macroeconomic policy systems.

This continuity is historically explicit from SEEA 1993 through the 2012 standardization process. The 1993 handbook treated depletion, degradation, and maintenance costs in ways that foregrounded responsibility and sustainability, including impacts beyond national borders. While early discussions questioned the practical ethics of treating environmental adjustment to sectoral value-added effects in agriculture, forestry, and fisheries, the later frameworks explicitly preserved integration with SNA while organizing accounts in increasingly standardized modules suitable for broader policy interoperability. This is where “experimental” sought to harmonize policy into governance — and where it should have instead strengthened remedy and remediation at local and national levels.

1.3.2 The abridged Dasgupta Review makes one core move: push national policy toward tighter integration between environmental data, macroeconomic accounting, and asset management. The report argues that growth models and policy frameworks have systematically ignored dependence on nature, and that this must be corrected by treating natural capital stocks as economically central, even when measurement is imperfect. It explicitly favors rough but structured estimates over omission, links natural capital accounting to policy appraisal, and frames sustainability as management of an economy’s asset portfolio over time. In practical terms, this supports stronger harmonization across SNA-compatible systems, SEEA-style accounts, and finance-facing decision tools. (Dasgupta, 23)

The diagnosis is not wrong. Omitting nature from accounts has produced systematic underinvestment in ecological maintenance, and the communities who bear the cost of that omission are overwhelmingly in the Global South. A decolonial accounting program shares that concern entirely. The disagreement is not about whether ecological value should be counted. It is about who governs the counting, who validates the method, and who captures the resulting policy leverage.

Dasgupta’s framework resolves that question by default rather than by argument. It assumes that integrating natural capital into SNA-compatible systems is the correction, without examining who controls those systems or what conditions of access they impose. The report acknowledges measurement imperfection and data gaps, but treats those as technical problems to be refined over time rather than as governance problems that determine whose knowledge counts as evidence. When a framework built on NPV discounting and asset-portfolio logic is applied to forests, reefs, and watersheds, the communities that steward those ecosystems do not automatically gain standing. They gain legibility — on terms set elsewhere.

The point is not to reject the Dasgupta Review’s ecological urgency. It is to insist that integrating nature into accounts is a governance question before it is a measurement question. Who defines the asset boundary, who selects the valuation method, and who accredits the verifier are political decisions that determine whether natural capital accounting serves ecological restoration or financial extraction. The SDG-SNA-SEEA harmonization that Dasgupta’s framework supports answers those questions in favor of the institutions that already control measurement, compliance, and capital access. A decolonial accounting program would answer them differently — starting with the communities that steward the assets being valued.

1.3.3 IPBES makes a different but complementary demand. It calls for much deeper disaggregation of evidence across regions, ecosystems, governance systems, and user groups, and for integration of Indigenous and local knowledge and indicators that reflect heterogeneity among Indigenous Peoples and Local Communities. It identifies large data and knowledge gaps in taxonomic coverage, biome coverage, quality-of-life linkages, and NCP (Nature’s Contributions to People) categories, then argues that policy-relevant assessment requires multi-scale, plural knowledge systems rather than a single global proxy set. In that sense, IPBES pushes for disaggregation as a condition for valid inference and fair representation, not merely a technical preference. (IPBES, 32)

Disaggregation protects jurisdiction and makes local realities programmatic on local terms — but only when paired with local custody, plural verification authority, and enforceable benefit sharing. When it is paired instead with centralized interoperability mandates and external validation monopolies, it intensifies dependency under technical language. The issue is governance design, not disaggregation itself.

1.3.4 The 2025 SDG Report provides stronger evidence of harmonization through statistical architecture and implementation practice rather than any single new legal instrument. Its clearest signal is technical convergence in the indicator system. The report notes that the 2025 review of the global indicator framework was endorsed by the Statistical Commission and that all 234 indicators now have established methodologies, with broader data availability than in earlier cycles. In practical terms, this marks a more standardized measurement environment across agencies and countries. (2025 SDG, 5)

The report treats data as essential infrastructure, calls for integrated national data strategies, and points to the Medellín Framework for Action as an implementation pathway for data-system transformation. That framing links statistical production, administrative capacity, and policy monitoring in one operational chain — meaning harmonization is increasingly enacted through data institutions. (2025 SDG, 7)

1.3.5 Harmonization becomes enforced through financing. The report repeatedly connects SDG implementation to financing systems, statistical capacity, and reporting pipelines. Countries face direct incentives to adopt programs and methods in order to maintain access to finance, partnerships, and program continuity.

For the purposes of this Black Paper, the precise claim is this: the 2025 SDG cycle demonstrates accelerated operational harmonization through methodology standardization, indicator governance, and data-finance integration, while leaving the central political questions entirely unresolved — who sets standards, who verifies compliance, and who captures the distributional gains.

1.4 Sedimentary layers of compliance

While this chain does not automatically produce injustice, without local data sovereignty, plural verification authority, and enforceable benefit-sharing, the SEEA-SNA-SDG predictably concentrates layers of compliance and jurisdiction over environmental data outside the communities that generate and steward it.

What are these sedimentary layers of compliance? Each layer looks flexible or malleable, but together they form a stack that hardens over time and becomes difficult to contest like a stone tablet inscribed with law. But why wait to break the tablet, when we can prevent it from ever being written?

Indicators set targets and reporting rhythms, which forces agencies to build data pipelines around what can be counted and compared. Classifications standardize what counts as valid environmental information by aligning it to SNA-compatible categories. Accounting frameworks fuse physical and monetary tables so ecological conditions can be translated into aggregates that travel easily through policy and finance systems. Once those tables are coupled to trade rules and regulatory due diligence, participation in measurement becomes a condition of participation in markets. The final layer is distributional. The system rewards those who can pay for legibility — through expertise, metadata, verification, and audit budgets — while others absorb adjustment costs and exclusion risk. The compliance stack is not one decision. It is a cumulative architecture that concentrates jurisdiction unless local custody, plural verification, and enforceable benefit-sharing authorities are built into every layer.

1.4.1 Indicator layer: target codification and reporting pressure

SEEA materials state that the SEEA-CF and SEEA-EEA can inform dozens of SDG indicators and provide standardized reporting structures for target monitoring.

14.33 Because the SDGs are interlinked, they require an integrated policy approach and that “SEEA, as the international standard for describing the environment–economy relationship, is well positioned to support integrated policies.”

Once indicators are tied to periodic reporting cycles, policy agencies reorganize data pipelines around measurable outputs. Indicator design determines what is visible, what is prioritized, and what becomes fundable. This is where harmonization begins to function as governance. (SEEA EA 2004 351)

1.4.2 Classification layer: SNA-compatible environmental codification

SEEA explicitly adopts SNA-consistent concepts and classifications so environmental statistics can be integrated into macroeconomic accounts and decision systems.

1.5.2 “Connection to the SEEA Central Framework” states that SEEA EA and the SEEA Central Framework “have been designed to complement each other and both reflect the application of the accounting principles of the SNA.”
It then explains that the Central Framework provides the concepts, definitions, and classifications for integrated accounting of physical flows, environmental transactions, and individual environmental assets

This compatibility lowers transaction costs for ministries of finance, central statistical offices, and external institutions. It also raises entry barriers for actors without technical capacity to produce compliant tables, metadata, and crosswalks. (SEEA EA 2004 389)

1.4.3 Accounting layer: physical-monetary fusion and admissibility

The harmonized system uses supply-use tables, asset accounts, and functional accounts in physical and monetary units.

Chapter 7, para. 7.5–7.8, where SEEA EA says the ecosystem services flow accounts follow the Supply and Use Table (SUT) structures described in the SNA and SEEA Central Framework, and that entries “can be made in physical and monetary terms.”(SEEA EA 2004 174)

In the biodiversity guidance, ecosystem monetary asset accounts are derived by capitalizing expected service flows, which directly connects ecological condition to valuation protocols.

8.35 A Net Present Value (NPV) approach to valuing ecosystem assets has been adopted for ecosystem accounting. NPV is the value of an asset determined by estimating the stream of income expected to be earned in the future and then discounting that income back to the present accounting period (SEEA Central Framework, para. 5.110). In ecosystem accounting, this approach is applied by aggregating the NPV of expected future returns for each ecosystem service supplied by an ecosystem asset. The use of an NPV approach implies that the value of an ecosystem asset is related to its capacity to supply ecosystem services and how that capacity is expected to change in the future. Capacity and expected changes in capacity also provide information on the expected life of the ecosystem asset. If the use of ecosystem services derived from an ecosystem asset is considered sustainable, meaning there is no expected decline in condition, then the asset’s life will be infinite. (SEEA EA 2004 206)

Once this “ecosystem service” fusion is institutionalized, admissibility to finance and policy programs depends on the ability to produce validated, comparable accounts.

4.4.4 Compliance layer: from statistical coherence to market access conditions

When harmonized data systems are coupled to trade and regulatory regimes, statistical participation becomes a condition of market participation. Chapter 13 in the SEEA EA shows the enabling infrastructure: standardized classifications, bridging frameworks with emissions and energy accounting, and policy-use orientation for regulation design.

13.71 In order to permit effective linking of physical flow data to monetary data, the physical flows of emissions are classified using the same activity and industry classifications used in the SNA. The emissions recorded for CO2 and CH4 in the SEEA Central Framework air emission account are directly linked to the removal (managed expansion) of carbon from the atmosphere and the emission (managed contraction) of carbon by the economy as recorded in the carbon stock account (SEEA EA 2004 320).

These passages show the administrative pathway by which “standardized evidence” becomes a compliance input when other regimes require traceable, comparable emissions and carbon data.

13.64 All values in the carbon stock account should be in equivalent carbon weights (e.g. ton carbon). Accordingly, methane (CH4) and carbon dioxide (CO2) emissions should be expressed in ton carbon, not in actual mass of CH4 and CO2. Similarly, for products such as recycled plastic or paper, the equivalent carbon content should be determined using the average composition of these materials to determine the carbon content. For emissions to the atmosphere, a bridge table may be compiled both in ton carbon and in CO2 equivalents, as the latter are linked to the SEEA Central Framework air emission accounts (SEEA EA 2004 318).

And further, tables bridge the SEEA accounts to UNFCCC/IPCC reporting concepts:

13.51 Thematic accounting for climate change complements existing measurement approaches described in the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories (2006) in the following two ways. First, carbon emissions from terrestrial ecosystems result from two processes: human activities (management) and environmental change but the IPCC guidelines for GHG accounting have been developed to account for net emissions due to human activities, whereas SEEA EA is more comprehensive and includes both managed and unmanaged areas. Second, SEEA allows connection with economic activities to be made (SEEA EA 2004 315).

Explicit mention of policy instruments like carbon taxes and emission permits appears within the SNA transaction framework:

13.73 In addition, there are a range of transactions, as related, for example, to taxes and subsidies, that reflect efforts by Governments, on behalf of society, to influence the behaviour of producers and consumers with respect to the environment. Payments and financial transactions related to carbon taxes and emission permits are recorded in the SNA (SEEA EA 2004 320).

This is where accounting shifts from descriptive method to enforcement channel. Once compliance regimes require traceable, verifiable, interoperable environmental evidence, actors outside the technical standard stack face exclusion risk. The step is legal-administrative, not conceptual.

4.4.5 Distributional layer: who pays for legibility

The 1993 text already warned that data requirements and process-level detail can be unrealistic at national scale, especially where capacity is limited.

200. Use of the information contained in materials/energy balances and natural resource accounts for the SEEA is limited to recording physical flows from natural assets to the economy (use of natural assets) and flows back to the natural environment (residual flows). The SEEA does not attempt to provide a comprehensive picture of the transformation processes within the economy. Data requirements and knowledge of (alternative) production and consumption processes would make such an effort quite unrealistic at the national level.(IEEA 1993 72)

The current SEEA warns, more passively, that harmonization rewards actors with statistical infrastructure, audit budgets, and classification expertise. Others absorb adjustment costs through expensive compliance upgrades, consultant dependence, and delayed access to markets or finance. Those who can produce certified data are treated as legitimate. Those who cannot are treated as high-risk or non-compliant.

In the Preface, “Implementation of SEEA EA”, it states that “a significant number of countries will require assistance and additional resources for statistical data collection.” (SEEA EA 2004 Preface V)

That sentence is the cleanest basis for understanding the structural outcome: those with infrastructure gain; those without absorb adjustment costs.

In Chapter 1, “Approaches to the compilation of ecosystem accounts,” paragraphs 1.57–1.59, the framework lays out a spectrum from “spatially explicit” to “minimum spatial” approaches, suggesting that for developing and lower income states there will be “resources available for compilation” to aggregate more complex data.

A common starting point for ecosystem accounting is the compilation of ecosystem extent accounts, which provide a statistical frame for ecosystem accounts. Where national-level data are not available, global data sets can serve as the basis for a suitable first step. Beyond the extent account, depending on the data available and the issues that are of particular interest, efforts may be directed towards the compilation of ecosystem condition accounts for different ecosystem types and towards the quantification of ecosystem services flows. While not a mandatory component, monetary valuation, which commonly relies on the organization of a wide array of data in physical terms, could be undertaken as the final part of a compilation process (SEEA EA 2004 17).

Where national data are not available, global datasets step in “as a first step.” That framing creates the conditions for top-down compliance mechanisms that will perpetuate disparate growth and access.

Chapter 1, “Role of NSOs and other agencies,” paragraphs 1.52–1.55 describes National Statistical Offices acting as data stewards, stressing the need for collaborative institutionalization of processes and data sharing, and says that “to ensure trust and quality” NSOs should provide oversight and governance through “an independent and expert opinion on data.” This should be read as a point of contention over data privatization and the development of local and translocal data markets

1.52 There is arguably no statistical domain that demonstrates the potential of NSOs to serve as data stewards more than ecosystem accounting. SEEA EA implementation has often been led by the official statistics community and NSOs, but given the high degree to which ecosystem accounting is cross-cutting and spatial in nature, implementation necessitates a highly collaborative approach and the active participation of representatives of many different agencies and disciplines, including geography, ecology, economics and statistics. There is also a need in many countries for coordination with agencies and experts at subnational administrative levels. Work is needed to fulfil a key objective, namely, the appropriate institutionalization of the processes (including data sharing), roles and responsibilities underpinning the compilation of ecosystem accounts (SEEA EA 2004 16).

Harmonization as Governance Chain

The harmonization mechanism is a governance chain:

1. SDG indicators define performance targets.

2. SNA-compatible SEEA classifications define admissible data formats.

3. Physical-monetary accounts produce comparable aggregates for policy and finance.

4. Compliance regimes convert those aggregates into access conditions.

5. Intermediaries monetize verification, certification, and auditability.

The chain does not automatically produce injustice. Without local data sovereignty, plural verification authority, and enforceable benefit-sharing, however, the SEEA-SNA-SDG concentrates jurisdiction over environmental data outside the communities that generate and steward it. That outcome is structural, not incidental.

4.5 How Compliance Chains Create Dependency

Compliance chains create dependency when each technical step is controlled by actors outside the producing community. The chain looks procedural and benign, but enforcement over access is fierce. What begins as data collection ends as externally governed admissibility to trade, finance, and legal protection.

In my introduction, I described sedimentary layers forming a stone tablet. These are the layers of that rock. (I translated these concepts into ʻŌlelo Hawaiʻi — how does the procedural access and ownership alter how we engage and value compliance?)

Data Production — Local communities, producers, and public agencies generate primary environmental and social data through monitoring, surveys, inventories, and administrative records. At this stage, they still hold practical control over context and meaning. Dependency starts when upstream categories are pre-defined by external reporting templates. Local knowledge is forced into external taxonomies before it can enter policy systems. (hana ʻikepili)

Formatting — Raw data must be translated into approved structures, codes, metadata fields, and reporting schedules. Technical standards become gatekeeping devices here. If a jurisdiction cannot produce data in recognized format, the data is treated as unusable regardless of local validity. Authority shifts from the producer to the schema owner. (hoʻoponopono i ka ʻano)

Traceability — Data must be tied to origin, chain of custody, geolocation, and process documentation. Traceability is often presented as neutral assurance. In practice, it creates infrastructure dependence on platform tools, registry systems, and interoperable identifiers controlled by external vendors or regulators. The side that controls traceability protocols controls evidentiary legitimacy. (hiki ke hahai ʻia ke kumu)

Third-party verification — External auditors or assurance entities review methods, samples, and controls. This can improve quality, but it also transfers adjudicative authority. When verifier accreditation is centralized, local institutions cannot validate their own compliance standing. They must purchase recognition from an external body. (hōʻoia ʻia e kekahi ʻaoʻao kūʻokoʻa)

Certification — Verification outcomes are converted into certificates, scores, or conformity statements that function as market passports. Certification transforms technical review into a tradable compliance asset. Intermediaries gain recurring revenue because certification expires, must be renewed, and often requires additional consulting for remediation. (palapala hōʻoia)

Financing eligibility — Banks, insurers, funds, and public finance facilities use certified compliance status to price risk and determine access. At this point, non-compliance is no longer a technical issue. It becomes a liquidity and survival issue. Entities that cannot pay for compliance upgrades face higher capital costs, exclusion from premium markets, or outright denial of finance. (kūpono no ke kālā)

Dispute Settlement — Once obligations are embedded in contracts, trade chapters, and regulatory frameworks, disputes are adjudicated in external legal or quasi-legal forums. Smaller actors rarely have equivalent legal capacity. Rule interpretation, evidentiary thresholds, and remedy pathways are controlled outside the data-producing community. This completes the dependency cycle. (hoʻoponopono hoʻopaʻapaʻa)

The outward transfer of authority follows a clear sequence. Data producers lose control when categories are externally fixed. Statistical offices lose control when formats are externally mandated. Regulators lose control when traceability systems are externally owned. Public institutions lose control when verification is externally accredited. Producers lose bargaining power when certification is privately monetized. States lose policy space when finance is conditioned on external compliance. Communities lose remedy when disputes are externalized.

Compliance chains are the gatekeepers (kiaʻi puka) of political infrastructure. They determine who is legible, fundable, and protected. When every layer is external, dependency is structural — even when participation is nominally voluntary.

Ke lilo nā ʻanuʻu o ka hoʻokō i kiaʻi puka, lilo ka ʻōnaehana i mea e kāohi ai i ka poʻe, ʻaʻole i mea e mālama ai i ka ʻāina a me ke ola. (When the steps taken to enforce (laws/rules) become the very gatekeepers that control access, the system transforms into a tool to oppress the people, rather than a means to care for the land and ensure the well-being of all.)

For decolonial accounting, each layer requires sovereignty: community-controlled data governance, open and locally adaptable standards, public-interest traceability infrastructure, regional verifier accreditation, anti-rent certification rules, finance criteria that recognize developmental asymmetry, and accessible dispute mechanisms with local rules. Without these safeguards, harmonization functions as extraction.

Annex

“Big Four Accounting Firms.” Investopedia, 26 Aug. 2025. This entry describes the four dominant global audit-and-advisory networks (Deloitte, PwC, EY, KPMG), the services they provide (audit, tax, advisory/consulting), and why their scale makes them systemically important to corporate reporting and regulatory compliance.

“Big Three (Credit Rating Agencies).” Wikipedia. Explains the concentrated structure of the sovereign and corporate ratings market, dominated by Moody’s, S&P, and Fitch, and notes how their ratings acquired regulatory force through legal enforcement.

“Credit Rating: Definition and Importance to Investors.” Investopedia. Defines a credit rating as an agency assessment of an issuer’s capacity to meet debt obligations and explains how ratings shape investor risk judgments and borrowing costs. It also summarizes investment-grade versus speculative-grade cutoffs across agencies.

“Corporate Credit Ratings: A Quick Guide.” Association of Corporate Treasurers. Guide explaining what corporate credit ratings are, how agencies evaluate non-financial firms, and how treasurers use ratings in funding strategy, covenant management, and capital-structure planning.

“Redefining the Role of Index Providers.” S&P Dow Jones Indices, Research. The S&P Dow Jones Indices research piece summarizes how a small set of index providers (S&P DJI, MSCI, FTSE Russell) shape product design in ETFs and direct indexing, largely through brand power and their indices’ adoption in wealth-management portfolios.

An, Y., et al. “Index Providers: Whales Behind the Scenes of ETFs.” Journal of Monetary Economics, 2023. Peer-reviewed paper arguing that index providers exercise market power over ETF issuers via licensing. The market is highly concentrated, and that a meaningful share of ETF fees flows to index providers through index-licensing arrangements.

Thinking Ahead Institute. “The World’s Largest 500 Asset Managers.” 2024 report. Annual industry study (with Pensions & Investments) ranks the top 500 asset managers by assets under management and summarizes sector trends, concentration dynamics, and year-on-year AUM changes.

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Abbreviation Guide

ACP–EU — African, Caribbean and Pacific Group of States–European Union partnership framework. A development and trade cooperation arrangement between the European Union and ACP countries, historically structured through the Cotonou Agreement and now replaced by the Samoa Agreement framework.

AUM — Assets under management. This is the total multi-trillion dollar market value of financial assets that an investment manager controls on behalf of clients, usually reported in a base currency and used as a proxy for scale, fee base, and market influence.

BEA — Bureau of Economic Analysis. U.S. federal statistical agency that produces national economic accounts, including GDP and industry data.

BRICS — Brazil, Russia, India, China, South Africa. Intergovernmental grouping focused on economic coordination, development finance, and trade cooperation. Core Bloc: Egypt, Ethiopia, Iran, Saudi Arabia, United Arab Emirates, Indonesia. Plus tier: Belarus, Bolivia, Cuba, Kazakhstan, Malaysia, Nigeria, Thailand, Uganda, Uzbekistan, Vietnam.

CBAM — Carbon Border Adjustment Mechanism. European Union policy instrument that applies a carbon price to certain imports to align them with EU climate standards.

CGETI — Contact Group on Economic and Trade Issues. BRICS working group that coordinates trade and economic policy discussions.

COP — Conference of the Parties. The decision-making body of an international treaty. In climate governance, it refers to the annual meeting of countries that are parties to the United Nations Framework Convention on Climate Change, where negotiations set rules, targets, and implementation frameworks for global climate policy.

CPTPP — Comprehensive and Progressive Agreement for Trans-Pacific Partnership. Multilateral trade agreement among Pacific-rim economies covering market access, investment, and regulatory standards.

EU — European Union. Regional political and economic union that coordinates trade, regulation, and common policy among member states.

EUDR — EU Deforestation Regulation. European Union regulation restricting the sale of products linked to deforestation within the EU market.

FPIC — Free, Prior, and Informed Consent. International standard affirming indigenous peoples’ right to approve or reject projects affecting their lands, resources, and communities.

FTA — Free Trade Agreement. Treaty that reduces or eliminates tariffs and trade barriers between participating economies.

G20 — Group of Twenty. Forum of major economies coordinating global financial stability, macroeconomic policy, and development agendas.

G77 — Group of 77. Coalition of developing countries advocating collective economic interests within the United Nations system.

GDP — Gross Domestic Product. Measure of the total value of goods and services produced within a country over a specific period.

ILK—Indigenous ad Local Knowledge, referring to knowledge systems developed by Indigenous Peoples and local communities through long-term relationships with territory and ecosystems. It includes practices, institutions, languages, and oral histories used for stewardship, governance, livelihood, and cultural continuity.

IMF — International Monetary Fund. Multilateral institution providing financial assistance, surveillance, and policy guidance on global monetary stability.

INSPIRE — Infrastructure for Spatial Information in Europe. European Union framework for harmonizing geospatial data and environmental information across member states.

IPBES — Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. International body assessing biodiversity and ecosystem trends for policy use.

MPS — Material Product System. Socialist-era national accounting framework measuring physical production and planned output rather than market value added.

NCP— Nature’s Contributions to People: Umbrella term for the ways ecosystems and living systems support human life and societies, including material contributions (food, timber, fisheries), regulating contributions (climate regulation, flood control, pollination), and non-material contributions (cultural, spiritual, identity, and knowledge values).

NIPA — National Income and Product Accounts. U.S. system of accounts that tracks income, production, consumption, and investment across the economy.

NPV—Net Present Value. A method for valuing future benefit streams by discounting them into today’s value. note: in U.S. GDP, cumulative values account for past, present, and future.

NSOs— National Statistical Offices. Government agencies responsible for producing official statistics, including national accounts and SDG indicators.

OECD — Organisation for Economic Co-operation and Development. Intergovernmental organization that develops economic policy standards and comparative statistical frameworks.

RCEP — Regional Comprehensive Economic Partnership. Trade agreement among Asia-Pacific economies focused on tariffs, supply chains, and regional integration.

R&D — Research and Development. Investment in innovation, science, and technological advancement measured in national accounts and industry statistics.

SDG — Sustainable Development Goals. Seventeen global development objectives adopted by UN member states to guide policy through 2030.

SEEA — System of Environmental-Economic Accounting. International statistical framework integrating environmental assets and ecosystem data with economic accounts.

SNA — System of National Accounts. Global statistical standard for measuring production, income, consumption, and capital formation.

SUT—Supply and Use Tables. Accounting tables that show where products come from (supply) and how they are used (intermediate use, final use, investment, exports), adapted in SEEA to track ecosystem services.

UN — United Nations. Intergovernmental organization coordinating international cooperation on peace, development, human rights, and global governance.

UNFCCC — United Nations Framework Convention on Climate Change. International treaty adopted in 1992 that establishes the global framework for climate governance, emissions reporting, and multilateral climate negotiations, including the COP process and subsequent agreements such as the Kyoto Protocol and Paris Agreement.

WTO — World Trade Organization. International body governing trade rules, dispute settlement, and tariff negotiations among member economies.