GRF · Capital Nexus
Development capital policy
Development capital reaches countries through multilateral development banks, bilateral agencies, public development banks, concessional windows and domestic resource mobilisation. Whether it arrives in useful form depends on enabling conditions: the capital rules of the lenders, the mandates of their shareholders, the debt position of the borrower, and the country’s own budget and planning institutions. This page sets out those conditions, the agreements that govern them, and the evidence that boards and ministries use to change them.
Development capital policy in seven parts.
- 01The questionDevelopment capital policy: how the risk develops
- 02IndicatorsWhat is measured, and how well
- 03SourcesWhere the evidence comes from
- 04DecisionsWho decides, and what the evidence serves
- 05Core questionsWhat experts ask
- 06MechanismsWhat drives the issue
- 07Methods and limitsHow evidence is gathered, and where it stops
Development capital policy: how the risk develops.
Institutional enabling conditions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Lender capital sets volume
Multilateral lending is bounded by shareholder capital, callable capital treatment and the capital adequacy framework each board adopts. Changes to those rules change lending headroom without new appropriations.
Concessionality follows debt risk
Grant and loan mixes are tied to debt distress ratings from joint IMF and World Bank analysis. A rating change shifts the terms a country receives as much as any policy choice.
Domestic revenue anchors
External finance substitutes poorly for tax capacity. Revenue administration, tax policy and the integrity of the base decide how much public investment a country can sustain without new debt.
Fragmentation adds cost
Many providers with separate procedures, reporting and conditions raise transaction costs and pull ministries away from their own planning. Country platforms and integrated financing frameworks aim to reconcile them.
People and hazards in Latin America and the Caribbean.
Population density, night lights and flood water over Latin America and the Caribbean, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
People and hazards, for this page
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- null; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds and overpass timing leave gaps)
- Source
- VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
- Provider
- NASA LANCE FIRMS
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds and overpass timing leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 500 m grid
- Uncertainty
- Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
People and hazards, framed on Latin America and the Caribbean.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological SurveySources and licences
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Context: © OpenStreetMap contributors (ODbL), via NASA GIBS. © OpenStreetMap contributors (ODbL), rendered by NASA GIBS.
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
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 |
|---|---|---|---|---|
| Net public flows by provider type | US dollars, constant prices | annual | OECD DAC Creditor Reporting System | REPORTED |
| Grant element of new commitments | percent of face value | annual | Creditor reporting, debt office records | REPORTED |
| Debt distress rating | category (low, moderate, high, in distress) | per assessment | Joint IMF and World Bank debt sustainability analysis | Published statistics |
| Tax revenue | percent of GDP | annual | Government finance statistics | Published statistics |
| Multilateral lending headroom under the adopted capital framework | US dollars | annual | Published MDB financial statements and capital reviews | ESTIMATED |
| Share of development finance on budget | percent of reported disbursements | annual | Aid information management systems, budget documents | REPORTED |
| Integrated national financing framework status | stage (inception, assessment, strategy, monitoring) | annual | UN INFF facility records | DECLARED |
Public investment pipeline.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Public investment pipeline
Development capital policy · Member state A · Budget cycle 1
Pipeline
| Coastal road upgrade | Transport | High risk | Redo | Appraisal |
| District hospital | Health | Medium | Done | Committee |
| Irrigation scheme | Agriculture | Medium | Done | Financing |
| Solar mini-grids | Energy | Low | Done | Procurement |
Committee
- Next meeting
- week 4
- Quorum
- 7 members
- Conflicts
- declared, recorded
- GRF role
- convening and methods
Investment cycle
- Identifyneeds
- Screenclimate and disaster
- Appraisecost-benefit
- Selectcommittee
- Financemix
- Implementmonitor
- Evaluateex post
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 | Project-level development assistance (ODA) and other public flows by provider, recipient and purpose | CC BY 4.0 |
| World Bank International Debt Statistics | External debt stocks and flows by creditor type for low and middle-income countries | CC BY 4.0 |
| IMF and World Bank low-income country debt sustainability analyses | Published risk ratings, thresholds and stress tests | Public documents, IMF and World Bank terms |
| MDB annual financial statements and capital adequacy reports | Equity, callable capital, ratings and lending capacity | Public reports, terms per institution |
| IMF Government Finance Statistics | Revenue, expenditure and financing of general government | Free, IMF copyright and usage terms |
| International Aid Transparency Initiative registry | Activity-level data published by development finance providers | Open, licence per publisher |
| UN Financing for Sustainable Development Report (Inter-agency Task Force) | Annual review of progress on the financing for development agenda | Public, UN terms of use |
Compare instruments: rules, incentives and information.
Three families of instruments side by side against the baseline, each with its own lag and adoption speed, under the coverage and compliance you set; effect sizes are teaching values to replace with evidence. Scenario: named assumptions about the future, not a forecast. The map on this page shows Latin America and the Caribbean; the model itself is not tied to a place.
Controls
- Baseline trend of the outcome
- 2.0% a year
- Coverage of the instrument
- 70%
- Compliance
- 75%
- Effect size, against the teaching value
- 100%
- Years ahead
- 20 years
Readouts
- Largest reduction at the horizon
- Regulation
- Its reduction against the baseline
- 21%
Numbers, methods and sources
| Year | Baseline | Regulation | Economic incentive | Information and capacity |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
Methods
- Tools of government Hood (1983), The Tools of Government, Macmillan
- Carrots, sticks and sermons Bemelmans-Videc, Rist and Vedung (1998), Transaction
- Diffusion of innovations Rogers (2003), Diffusion of Innovations, Free Press
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
- Borders Natural Earth
- Cities Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Capital Nexus in Foundry
- Tested at Capital Nexus in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Capital Nexus in Reports
- Taught in Faculty of Finance and Economics in Academy
Who decides, and what the evidence serves.
Capital 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 boards of governors and executive directors | Whether to adopt capital framework changes, hybrid capital or callable capital treatment | Capital adequacy reviews, rating agency methods and lending headroom estimates with assumptions |
| Shareholder finance ministries | How much paid-in capital, replenishment and guarantee support to provide | Replenishment documents, capital reviews and allocation frameworks |
| Borrowing country finance ministries | Which external finance to accept, on what terms, and how to bring it on budget | Debt distress ratings, grant elements and on-budget shares |
| Development agency governing bodies | How to align procedures with country systems and platforms | Fragmentation measures and country system use |
Outputs this topic produces
- Briefs on lender capital rules and their effect on headroom, with assumptions stated
- Dialogue papers on concessional allocation and debt risk ratings
- Comparative notes on country platforms and integrated financing frameworks
- Question sets for shareholder and board deliberation
From mandate to evaluation, by pillar.
The steps an instrument takes from mandate to evaluation, each with the pillar that runs it, and the decisions that stay with the authority. Teaching model with stated illustrative values, not a prediction. The map on this page shows Latin America and the Caribbean; the model itself is not tied to a place.
- Mandate and problem framing Competent authority (outside the programme)
A competent authority frames the problem and the mandate under its own rules. Howlett, Ramesh and Perl (2009) - Evidence and system model Foundry
The system is modelled with its feedbacks, data and stated limits. OECD (2014), principle 2 - Options appraised with scenarios Foundry
Instruments are compared under scenarios, with uncertainty shown. Hood (1983) - Exercise with stakeholders Universe
The options are tested in an exercise with those who would implement and bear them. OECD (2014), principle 3 - Standard or guidance drafted Nexus Standards
What works is codified as a standard or guidance, open to comment. Nexus Standards process - Decision by the authority Competent authority (outside the programme)
The authority decides, outside the programme, with the evidence on record. Howlett, Ramesh and Perl (2009) - Capacity and training Risk Academy
Those who implement are trained on the decided instrument and its data. Sendai Framework (2015), priority 2 - Monitoring and public report Reports
Indicators are published with sources, limits and corrections. OECD (2014), principle 5 - Evaluation and revision Nexus Standards
Results return to the standard and the model: the cycle closes. Howlett, Ramesh and Perl (2009)
Methods
- Policy cycle Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press
- Governance of critical risks OECD (2014), Recommendation of the Council on the Governance of Critical Risks
- Layered drawing of directed graphs Sugiyama, Tagawa and Toda (1981), IEEE SMC 11
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Capital Nexus in Foundry
- Tested at Capital Nexus in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Capital Nexus in Reports
- Taught in Faculty of Finance and Economics in Academy
What experts ask.
- 01
What conditions let development capital work?
Public financial management, project preparation capacity, legal frameworks and institutional stability.
- 02
How do lenders account for risk?
How country, climate and disaster risk shape terms, eligibility and safeguards.
- 03
How is private capital mobilised?
The role and limits of blended structures and risk-sharing instruments.
- 04
Who owns the agenda?
How country priorities and lender policies are reconciled.
Exercise a cascade in development capital policy with the people who decide.
Assembled from the Nexus Standards area profile Disaster and climate risk finance: the hazards it names, the systems and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position. 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
What drives the issue.
Project preparation is a frequent bottleneck. Countries may lack the capacity to develop investment proposals that meet lenders’ requirements, so finance goes where preparation capacity exists rather than where need is greatest.
Risk raises the cost of capital. Perceived and actual country risk, currency risk and hazard exposure raise borrowing costs, which can make resilience investment unaffordable where it matters most.
Blended finance uses concessional resources to reduce risk for private investors. Evidence on how much private capital it mobilises, and at what public cost, is mixed and debated.
Country ownership matters. Programmes aligned with national strategies and implemented through national systems tend to be more sustainable, but require trust in those systems.
Debt sustainability sets the outer limit. Development lending adds to public debt, so the terms, currency and maturity of borrowing matter as much as the projects it funds, especially for countries already close to their limits.
Why now: multilateral development banks are reforming their capital frameworks and mandates, and many borrowing countries face high debt service. Capital Nexus compares the governance of these reforms and convenes public institutions on what they mean for risk-informed investment.
How development capital policy is governed: instruments, mandates and commitments.
The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.
Development outcomes
The Sustainable Development Goals and targets that outcomes on development capital policy are reported against.
| Goal | Target | How this subject links |
|---|---|---|
| Goal 1, no poverty | Target 1.5, resilience of the poor and vulnerable | Outcomes reported through the agreed indicator of the target |
| Goal 17, partnerships for the goals | Target 17.4, long-term debt sustainability | Outcomes reported through the agreed indicator of the target |
| Goal 10, reduced inequalities | Target 10.5, regulation and monitoring of financial markets | Outcomes reported through the agreed indicator of the target |
| Goal 16, peace, justice and strong institutions | Target 16.6, effective, accountable and transparent institutions | Outcomes reported through the agreed indicator of the target |
How evidence is gathered, and where it stops.
| Method or data | What it shows | Its limit |
|---|---|---|
| Institutional diagnostics | Country systems and capacity | Assessments may be dated |
| Portfolio analysis | Where development finance goes | Reporting conventions differ |
| Evaluation evidence | Results of past programmes | Attribution is difficult |
| Comparative policy review | Lender policies and terms | Policies change frequently |
How it is studied, and what the methods cannot say.
- 01Economics and development economicsAppraisal of public investment · Fiscal incidence of policy choices · Indirect costs of shocksApplied here
- 02Policy, institutional and decision scienceMandate and decision-rights mapping · Institutional assessment synthesisApplied here
- 03Financial economics and macro-financeDebt sustainability under stress · The sovereign and bank feedback loopApplied here
Questions and answers.
What is callable capital?
What does the Addis Ababa Action Agenda cover?
What is an integrated national financing framework?
Does Capital Nexus connect countries with lenders?
What is blended finance?
Why focus on project preparation?
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