Impact capital and national monitoring-and-evaluation systems run on separate tracks. The methodology is the connective layer between them: it lets one measurement effort serve both the investor's frameworks and the country's results system, so that INFF Monitoring and Review, the integrator that links all finance to national outcomes, rests on a credible measurement base. Step through the data flow, or switch the link off to see what breaks.
The blue economy fund is edited on the impact-capital tab and traced through the national M&E adjustments. Edit anything on those tabs and these figures move together.
The nexus thesis is articulated across senior network voices in the evaluation and development-finance field, which is why it lands with an evaluation audience rather than reading as a vendor claim.
The investor-side engine. One portfolio data effort, expressed in several impact-investing frameworks at once, with the baseline gate setting what may be claimed as Measured. This is what the impact-capital column of the nexus does in practice.
A single return ratio is the most common way impact capital talks about value, and it is exactly where the nexus becomes tangible. A return ratio is a claim about value created, and that claim is only as trustworthy as the measurement system that produced it. This is the bridge between the two worlds: good measurement infrastructure is what makes a financial impact claim real.
Seeded with the Pacific Blue Capital enterprise outcomes. Edit any monetised value and watch all three ratios move. The point is not which ratio is right; it is that the ratio is a construction, not an objective fact.
| Outcome | Stakeholder | Priority weight | Observed change | Monetised value (USD M) |
|---|---|---|---|---|
| Livelihood improvement | Smallholder fishers | 40% | +40% income | |
| Employment and inclusion | Processing employees | 20% | 180 FTE | |
| Ecosystem restoration | Marine biodiversity | 25% | -30% bycatch | |
| Carbon sequestration | Global climate | 15% | -25% fuel use |
Illustrative, generic aggregation rules shown to make the point visible. Sigma IMS shows the dimensional scores first, makes the aggregation choice explicit and records it, and validates the result against informed human judgement. The protected internal aggregation logic is not shown here. Sigma IMS supplies measurement infrastructure intelligence; the investor decides.
The bridge to the sovereign side, running live on the same blue economy portfolio you edit on the impact-capital tab. Part 1 sets the national M&E adjustments and shows per-country attribution; Part 2 shows the portfolio lattice, the guarded totals, and the INFF Monitoring and Review mapping.
| Country | MESA (0 to 100) | INCE (0 to 10) | Derived reliability |
|---|---|---|---|
| Philippines | - | ||
| Indonesia | - | ||
| Vietnam | - | ||
| Thailand | - | ||
| Malaysia | - | ||
| Myanmar | - |
Reliability is derived from the MESA and INCE diagnostic, the keystone of the bridge. Raise a country's scores and its reliability factor lifts the attributed contribution. Contribution is the counterfactual judgement, set once for the portfolio.
Attributed contribution is the guarded portfolio net for the country, reduced by the contribution factor and that country's reliability factor. The double-count guard rate is set on the impact-capital tab and applies within multi-company countries.
Edit beneficiary numbers and baselines on the impact-capital tab; the guard, the claim tier, and these totals follow.
Country contribution mapped to the INFF Monitoring and Review indicator structure, ready for institutional feed subject to LP and investor consent. Sigma IMS supplies the evidence; the investor and the country decide.
Pillar 3 made live. The private-capital contribution traced on the other tabs is placed against the path needed to reach an SDG or financing target, so the question becomes whether the contribution is on, off, or ahead of trajectory. This is the adaptive loop: outcome evidence flowing back to inform the next allocation.
The growth assumption is descriptive and peer-grouped, not a regression forecast. A regression-backed forecast becomes defensible only once the dataset crosses fifteen to twenty countries across three or more checkpoints; until then the projection stays descriptive with an explicit uncertainty band.
The required path runs from the current contribution to the 2030 target. The projected band is the descriptive peer-grouped projection with its uncertainty. Variance is classified on the standard deviation bands: under 5 percent on track, 5 to 15 minor, 15 to 30 significant, over 30 critical.
Every layer carries its claim tier and the external data it depends on. The contribution line is a counterfactual contribution claim, never a causal attribution.
A Tier 1 client calls this through an API and receives the result, its claim tiers, and its data-dependency flags. The internal aggregation formulas, crosswalk logic, and dimensional codes never cross the boundary.
For Tier 2 and Tier 3, the same engine is configured into the client environment under federated analytics: the client holds the data, the methodology wrapper runs in place, and only model parameters and aggregate statistics flow back. Sigma IMS supplies the measurement infrastructure intelligence; the investor and the country decide.
National evaluation capacity is measured directly by the diagnostic, so the starting point is genuinely Measured, not modelled. The growth assumption is descriptive and peer-grouped; a regression-backed capacity forecast becomes defensible once the dataset spans enough countries across biennial checkpoints.
Same deviation bands as the finance view. This is Pillar 3 in its original form: is the measurement system improving fast enough.
Capacity is not tracked for its own sake. A higher capacity score lifts the reliability factor, and the reliability factor scales the attributed private-capital contribution on the impact-finance view. This is the nexus in time: the two trajectories are coupled.
Seeded with Pacific Blue Capital, a composite USD 40M blue economy fund with eight portfolio companies across Southeast Asia. Edit any figure or inject your own public data; the portfolio aggregates with a double-count guard, the baseline gate sets what may be claimed as Measured, and the one dataset projects into IRIS+, the IMP five dimensions, the SDGs, OPIM, and the SDG Impact Standards at once.
Composite fictional fund. Public-data demonstration. No client data.| Investee | Sector | Beneficiaries | Jobs | Women % | Capital (USD) | Contribution | Baseline |
|---|
Portfolio outcome claim status: -