The Global Risks Alliance (GRA)
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.
GRA · Established · service level R0
A financing gap is an estimate of the difference between the investment needed for a goal, such as infrastructure or the Sustainable Development Goals, and what is committed. Gaps help set ambition and mislead when treated as measurements, because needs depend on assumptions and flows are counted in different ways.
Where development projects meet hazard and poverty, and which financing layer protects them. Hypothetical projects and design values.
The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Financing gaps and evidence · Country programme D · Pipeline review 3
| 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 |
red: high hazard exposure
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.
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.
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.
Private finance mobilised by official 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.
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.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| TOSSD | Total Official Support for Sustainable Development, a statistical measure of official resources supporting sustainable development. |
| Disbursement | Money actually paid out, as distinct from a commitment to pay. |
| Net flows | Disbursements minus repayments over a period. |
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 |
|---|---|---|---|---|
| Official development finance disbursements | constant US dollars | annual | OECD DAC Creditor Reporting System | REPORTED |
| Total official support for sustainable development | US dollars | annual | TOSSD data | REPORTED |
| Private finance mobilised by official 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 | OFFICIAL |
| 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 |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
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 | Official development finance by provider, recipient, sector, instrument and flow type | Free, OECD terms (CC BY 4.0) |
| TOSSD data (International TOSSD Task Force) | Official 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 |
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 official development assistance across countries and sectors | CRS flows, gaps with assumptions, results and evaluation evidence |
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.
Gaps reflect needs, constraints and the quality of evidence.
Bottom-up project costing and top-down modelling produce different estimates. Both depend heavily on assumptions.
Weak pipelines, high perceived risk, currency risk, policy uncertainty and limited institutional capacity.
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.
Engineering costing and economic modelling, using economics and development economics. Results should be presented as ranges with assumptions.
Surveys and case studies of why finance does not flow. Findings are context-specific.
Identification of missing risk and performance data that impede decisions.
Estimation of the cost of inaction, using causal inference and impact evaluation and scenario methods. Highly uncertain but important.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.