GRA · Development Finance Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Financing gaps and evidence
Financing gap estimates frame many development finance decisions: the investment needed for infrastructure, climate goals or the Sustainable Development Goals set against what is committed. Gaps are useful for setting ambition and misleading when treated as observed quantities, because they depend on targets, unit costs and baselines. This page sets out how gaps are built, how the flows behind them are recorded, and what evidence institutions need before they act.
Financing gaps and evidence in seven parts.
- 01The questionFinancing gaps and evidence: how the risk develops
- 02IndicatorsWhat is measured, and how well
- 03SourcesWhere the evidence comes from
- 04DecisionsWho decides, and what the evidence serves
- 05Core questionsWhat the industry asks
- 06MechanismsHow risk and finance interact
- 07Methods and evidenceHow the evidence is built, and its limits
Financing gaps and evidence: how the risk develops.
Evidence before institutional decisions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Needs depend on assumptions
A needs estimate multiplies a target by a unit cost over a horizon. Change the target, the technology or the cost of capital and the estimate can move by more than the flows being compared with it.
Flows are counted differently
Commitments and disbursements, gross and net flows, grant equivalent and face value, public and mobilised private finance are all reported. Mixing them double counts some finance and hides the rest.
Mobilisation is attributed
Private finance mobilised by public interventions is attributed by agreed methods rather than observed. Without consistent rules on attribution and causality, the same private loan is claimed by several institutions.
Risk explains the shortfall
Where country, currency and project risk raise the cost of capital beyond what revenues support, finance does not arrive whatever the stated need. Risk evidence, not the gap itself, explains why capital stays away.
Where projects sit, and which layer protects them.
Where development projects meet hazard and poverty, and which financing layer protects them. Hypothetical projects and design values.
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Public development finance disbursements | constant US dollars | annual | OECD DAC Creditor Reporting System | REPORTED |
| Total public support for sustainable development | US dollars | annual | TOSSD data | REPORTED |
| Private finance mobilised by public interventions | US dollars | annual | OECD DAC survey on mobilisation | REPORTED |
| Private investment mobilised by multilateral development banks | US dollars | annual | Joint MDB report on private investment mobilisation | REPORTED |
| Net flows on external debt | US dollars | annual | World Bank International Debt Statistics | Published statistics |
| Investment needs estimate | US dollars per year over the stated horizon | per study | Needs assessment models | MODELLED |
| Blended finance transactions closed | count by sector and region | annual | Convergence blended finance database | REPORTED |
| Cost of capital for projects | percent nominal, by technology and country | per study | IEA Cost of Capital Observatory | ESTIMATED |
Project pipeline and safeguards.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Project pipeline and safeguards
Financing gaps and evidence · Country programme D · Pipeline review 3
Pipeline
| Irrigation rehabilitation | Food and water | Medium | Clear | Appraisal |
| Port expansion | Infrastructure | High | Finding | Preparation |
| SME credit line | Finance | Low | Clear | Board |
| Mini-grid programme | Energy | Low | Clear | Implementation |
Handoff
- Readiness dossier
- v2, reviewed
- Receiving institution
- development finance institution
- Decision
- theirs, not GRA's
- Record
- HO-734
Projects and hazard
red: high hazard exposure
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| OECD DAC Creditor Reporting System | Public development finance by provider, recipient, sector, instrument and flow type | Free, OECD terms (CC BY 4.0) |
| TOSSD data (International TOSSD Task Force) | Public support for sustainable development, including South-South and multilateral flows | Free, attribution |
| OECD data on private finance mobilised | Mobilised amounts by instrument, provider and recipient | Free, OECD terms |
| Joint MDB report on private investment mobilisation | Private direct and indirect mobilisation by multilateral development banks | Free, attribution |
| World Bank International Debt Statistics | Debt stocks, disbursements, repayments and net flows by creditor type | CC BY 4.0 |
| Convergence blended finance database | Blended transactions, investors, instruments and sectors | Public summaries; full deal data to members |
| IEA Cost of Capital Observatory | Cost of capital estimates for energy projects in emerging economies | Free, IEA terms |
Trace a shock in financing gaps and evidence to the balance sheet.
Assembled from the Nexus Standards area profile Disaster and climate risk finance: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.
Hazards
- Tropical cyclone
- Earthquake
- Ice-jam flood
- Storm surge (set off downstream)
- Intense rainfall (set off downstream)
- River flood (set off downstream)
- Flash flood (set off downstream)
- Dangerous surf (set off downstream)
- Widespread power outage (set off downstream)
- Mass displacement (set off downstream)
- Coastal flood (set off downstream)
- Aftershock sequence (set off downstream)
- Fault surface rupture (set off downstream)
- Soil liquefaction (set off downstream)
- Slope slide (set off downstream)
- Rockfall (set off downstream)
- Tsunami (set off downstream)
- Building collapse (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-F8Parametric and index-based risk transferNRS-F7Disaster risk finance and pre-arranged financeNRS-H113Hazard family: Financial-system fragility (NHS-1 soc.financial-system)NRS-H114Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)NRS-D1Risk-informed development and project screeningNRS-H28Hazard family: Climate-state shifts (NHS-1 eco.climate-state)
Observation
- ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
- CHIRPS quasi-global gridded precipitation (listed for reference)
- USGS earthquake GeoJSON summary feeds (listed for reference)
- Total public international support for national disaster risk reduction actions (Sendai indicator F-1)
- Direct economic loss attributed to disasters in relation to global GDP
Example geography
- Western Europe: 152 hexagonal cells
- Rain rate, last half hour (IMERG), NASA GIBS
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
- Surface soil moisture (SMAP), NASA GIBS
Who decides, and what the evidence serves.
Development Finance Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| MDB shareholders and governors | Whether to expand lending capacity or adjust capital adequacy policies | Flow evidence, mobilisation records and gap studies with assumptions stated |
| Finance ministries | How much of a financing plan to meet from domestic revenue, concessional borrowing and private finance | Flows by source, debt sustainability context, cost of capital evidence |
| Development finance institutions and blended finance funds | Where concessional capital is needed to make an investment viable, and where it would displace commercial finance | Transaction records, cost of capital, the OECD DAC blended finance principles |
| Bilateral development agencies | How to allocate development assistance (ODA) across countries and sectors | CRS flows, gaps with assumptions, results and evaluation evidence |
Outputs this topic produces
- Flow maps that keep commitments, disbursements and mobilisation apart
- Gap estimates shown with the target, unit cost and horizon behind them
- Evidence registers listing what is known, estimated and missing before a decision
- Side-by-side comparisons of gap studies and their assumptions
What financing gaps and evidence means for exposure, loss and capital.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
Financing instruments by layer
How retention and transfer instruments could share losses from financing gaps and evidence, from frequent to extreme.
| Layer | Who holds the risk | Speed of funds | Main limit |
|---|---|---|---|
| Retention and reserves | Budget, contingency funds | Immediate | Size of the budget |
| Contingent credit | Development banks, ministries of finance | Days to weeks | Debt capacity |
| Parametric cover and risk pools | Regional pools, insurers | Days, on a trigger | Basis risk |
| Reinsurance and catastrophe bonds | Reinsurers, capital markets investors | Weeks to months | Cost of capital |
| Residual loss | Households, firms, humanitarian funding | Uncertain | Unfunded |
What the industry asks.
Gap estimates shape policy debates and institutional strategies. But a single headline number can mislead: it may combine incompatible methods, ignore absorptive capacity or overlook the cost of doing nothing. For decision-makers, the more useful questions are where finance would have most effect, what prevents it from flowing, and what evidence would allow institutions to act under their own rules.
- How are investment needs estimated, and which assumptions about costs, standards and timelines drive the results?
- What prevents finance from flowing: lack of prepared projects, risk, policy, capacity or cost of capital?
- Where would additional finance produce the largest reduction in risk or gain in welfare?
- What evidence do institutions require before they can act, and where is it missing?
How risk and finance interact.
Gaps reflect needs, constraints and the quality of evidence.
Estimating requirements
Bottom-up project costing and top-down modelling produce different estimates. Both depend heavily on assumptions.
Barriers to flow
Weak pipelines, high perceived risk, currency risk, policy uncertainty and limited institutional capacity.
Decision-useful information
Data on risk, performance and outcomes that let institutions price and manage risk under their own frameworks.
A recurring finding is that gaps are not uniform. Some sectors and countries attract finance readily once projects are prepared; others face structural barriers that more capital alone will not overcome. Evidence that distinguishes between these situations, and identifies the specific constraint in each, is more useful to decision-makers than aggregate totals.
How the evidence is built, and its limits.
- 01
Needs assessment methods
Engineering costing and economic modelling, using economics and development economics. Results should be presented as ranges with assumptions.
- 02
Barrier analysis
Surveys and case studies of why finance does not flow. Findings are context-specific.
- 03
Data gap mapping
Identification of missing risk and performance data that impede decisions.
- 04
Counterfactual analysis
Estimation of the cost of inaction, using causal inference and impact evaluation and scenario methods. Highly uncertain but important.
How it is studied, and what the methods cannot say.
- 01Economics and development economicsEconomic appraisal of a project · Debt sustainability context · Tariff and subsidy incidenceApplied here
- 02Decision analysis under uncertaintyRobust choice of design standard · Multi-criteria pipeline screeningApplied here
- 03Causal inference and impact evaluationEvaluating a credit line or guarantee · Infrastructure impact on householdsApplied here
- 04Geospatial information systemsSafeguard screening of a project footprint · Physical climate exposure of assetsApplied here
Questions and answers.
What is the difference between commitments and disbursements?
What does mobilised private finance mean?
Are financing gaps measurements?
Why do financing gap estimates differ so much?
Does the platform publish gap figures?
Is lack of money the main barrier?
Does GRA mobilise finance to close gaps?
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