GRF · Policy Nexus
Development policy
Development policy decides how public and international resources are used to raise living standards, reduce poverty and transform economies, and whether the gains are shared and durable. It is shaped by domestic institutions, fiscal space, the architecture of external finance and the risks that can erase progress. This page sets out how development policy risk develops and compounds, how institutional capacity and equity are measured, and which institutions hold the decisions.
Development policy in seven parts.
- 01The questionDevelopment 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
- 06Mechanisms and driversRisk and development are intertwined
- 07Methods and dataHow the evidence is built, and where it stops
Development policy: how the risk develops.
Equity and economic transformation. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Shocks reverse gains
A disaster, price shock or conflict can push households back into poverty and erode public finances at the same moment. Development that ignores risk accumulates exposure that the next shock converts into losses.
Capacity constrains delivery
Policies depend on public financial management, procurement, statistics and civil service capacity. Where these are weak, allocations do not reach programmes and programmes do not reach people, whatever the policy says.
Fragmented external finance
Many lenders and donors with separate conditions, reporting and project units can bypass national systems and stretch administrative capacity. Alignment with national plans and use of country systems reduce that burden.
Debt and fiscal space
Rising debt service narrows the room for social spending and investment. Contingent liabilities from guarantees and disasters can tip fiscal positions quickly, transmitting shocks into cuts in basic services.
People and hazards in Africa.
Population density, night lights and flood water over Africa, 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
Keyboard, with the map focused
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Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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People and hazards, framed on Africa.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 Survey · NOAA GOES-East ABI GeoColorSources 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.
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- Live: NOAA GOES-East ABI GeoColor (CIRA). 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).
- 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 |
|---|---|---|---|---|
| Country Policy and Institutional Assessment ratings | rating by cluster | annual | World Bank CPIA | ESTIMATED |
| Public financial management performance | score by PEFA indicator | per assessment | PEFA assessment reports | REPORTED |
| Use of country public financial management systems | percent of development partner disbursements | periodic | GPEDC monitoring | REPORTED |
| Debt service to revenue | percent of government revenue | annual | IMF and World Bank debt statistics | Published statistics |
| Poverty headcount at national and international lines | percent of population | survey cycle | World Bank Poverty and Inequality Platform | ESTIMATED |
| Human Development Index | index | annual | UNDP Human Development Report | ESTIMATED |
| Development assistance (ODA) by sector and channel | constant US dollars | annual | OECD Creditor Reporting System | Published statistics |
Policy tracker.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Policy tracker
Development policy · Member state A · Session 3
Policy cycle
Options appraisal, planning law
| A · guidance only | 31 | Low | Mixed | High |
| B · duty with standards | 60 | Medium | Positive | Medium |
| C · duty, standards, funding | 69 | High | Positive | Low |
Decision record
- Owner
- Policy owner
- Decision by
- Legislative committee
- Evidence
- synthesis SY-92
- GRF role
- convenes, does not decide
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 |
|---|---|---|
| World Bank CPIA | Ratings of policy and institutional frameworks in IDA-eligible countries | Open, CC BY 4.0 |
| PEFA assessment reports | Public financial management performance against a common framework | Public reports, PEFA Secretariat terms |
| OECD Creditor Reporting System | Aid and other public flows by donor, recipient, sector and channel | Open, CC BY 4.0 |
| International Aid Transparency Initiative registry | Activity-level data published by development organisations | Open, licence set by each publisher |
| World Bank Poverty and Inequality Platform | Poverty and inequality estimates from household surveys | Open, CC BY 4.0 |
| UNDP Human Development Report data | Human development and inequality-adjusted indices | Open, CC BY 3.0 IGO |
| Bertelsmann Transformation Index | Expert assessments of political and economic transformation and governance in developing and transition countries | Free with attribution, publisher terms |
| Global Partnership for Effective Development Co-operation monitoring | Country-led monitoring of development effectiveness commitments | Public, publisher terms |
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 Africa; 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 Policy Nexus in Foundry
- Tested at Policy Nexus in Universe
- Codified in Foundations and Governance in Standards
- Published in Policy Nexus in Reports
- Taught in Faculty of Governance, Policy and International Affairs in Academy
Who decides, and what the evidence serves.
Policy 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 |
|---|---|---|
| Ministries of finance and planning | How to align national development plans, budgets and external finance | PEFA findings; comparative arrangements for aid coordination and medium-term budgeting |
| National legislatures | How to scrutinise borrowing, guarantees and development spending | Comparative legislative oversight of debt and budget execution |
| Boards of multilateral development banks | Which instruments, conditions and country systems to use in lending | Independent evaluation findings; institutional assessments with their labels |
| Development cooperation agencies | How to channel support through national systems while managing fiduciary risk | Use-of-country-systems monitoring; evaluations of budget support and project modalities |
Outputs this topic produces
- Policy primer on public financial management and its role in development outcomes
- Comparative brief on aid coordination arrangements and the use of country systems
- Review of impact evaluations by programme type, with their designs and contexts
- Dialogue records from country platforms and development partner forums
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 Africa; 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 Policy Nexus in Foundry
- Tested at Policy Nexus in Universe
- Codified in Foundations and Governance in Standards
- Published in Policy Nexus in Reports
- Taught in Faculty of Governance, Policy and International Affairs in Academy
What experts ask.
Development policy experts ask how growth can be durable and shared.
- How do shocks, from disasters to commodity price swings, affect long-run development?
- How can development strategies avoid creating new exposure to hazards and dependencies?
- How are the gains and costs of economic transformation distributed across groups and regions?
- Which institutions enable states to manage risk while pursuing growth?
- How do debt, fiscal space and external finance constrain development policy?
Exercise a cascade in development policy with the people who decide.
Assembled from the Nexus Standards area profile Political and governance risk standards: 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.
Systems and couplings
Controls
NS-0Constitution and principlesNS-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)NRS-H112Hazard family: Governance and institutional failure (NHS-1 soc.governance)NRS-U9Universe platform profile: Financial Regulation NexusNRS-H59Hazard family: Economic shocks and governance failure (NHS-1 soc.economic)NRS-H118Hazard family: Organised crime and illicit economies (NHS-1 soc.crime)NRS-A5Built-in licensing and rightsNRS-U24Universe platform profile: Policy Nexus
Observation
- Worldwide Governance Indicators (listed for reference)
- V-Dem dataset (listed for reference)
- Global SDG Indicators Database (listed for reference)
- Proportion of population satisfied with their last experience of public services
- Proportion of population who believe decision-making is inclusive and responsive
- Number of countries that adopt and implement national DRR strategies in line with the Sendai Framework
Risk and development are intertwined.
Shocks can reverse years of development gains, particularly for households that sell assets, withdraw children from school or reduce food intake to cope. Repeated shocks can trap people and places in poverty. At the same time, development itself can create risk, as rapid urbanisation, infrastructure expansion and economic concentration increase exposure and interdependence.
Economic transformation creates winners and losers. Structural change, trade shifts and technological adoption can raise average incomes while leaving some regions and groups behind. Policies that combine growth with social protection, investment in human capital and attention to regional disparities tend to produce more resilient development paths.
Why now: the Fourth International Conference on Financing for Development (Seville, 2025) set a new framework for development cooperation, as many countries face debt pressure. Policy Nexus compares how development policy integrates risk and convenes public institutions on the governance questions, leaving finance readiness to the Global Risks Alliance (GRA).
How development 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.
Policy instrument matrix
The kinds of instrument available on development policy, by level of government and cooperation.
| Instrument type | Local | National | Regional | Global |
|---|---|---|---|---|
| Regulatory | Zoning, building codes | Laws, standards, licensing | Harmonised rules | Conventions and treaties |
| Economic | Local levies, grants | Budget lines, taxes, insurance schemes | Risk pools, regional funds | Financing mechanisms |
| Information | Local warnings | Disclosure, early warning, statistics | Data sharing arrangements | Global monitoring and reporting |
| Institutional | Local committees | Lead agencies, coordination councils | Regional bodies and secretariats | Multilateral mandates |
| Cooperative | Community agreements | Partnership compacts | Memoranda and joint programmes | Agreements and joint commitments |
How the evidence is built, and where it stops.
- 01
Macro and fiscal analysis
Assessing fiscal space, debt and external vulnerability. Projections depend on uncertain assumptions.
- 02
Household panel analysis
Tracking effects of shocks on households over time with causal inference. Panels are costly and rare.
- 03
Institutional analysis
Examining state capacity and governance with policy and institutional science. Capacity is hard to measure.
- 04
Option analysis
Comparing development strategies under uncertainty with decision analysis. Outcomes depend on context.
How it is studied, and what the methods cannot say.
- 01Causal inference and impact evaluationStaggered adoption of a reform · Eligibility thresholds in programmesApplied here
- 02Policy, institutional and decision scienceMandate mapping for a cross-sector risk · Review of regulatory impact assessmentsApplied here
- 03Decision analysis under uncertaintyOption appraisal for a policy instrument · Adaptive pathways for public planningApplied here
- 04Game theory and mechanism designStability of a transboundary agreement · Design of a regional risk poolApplied here
Questions and answers.
What is a PEFA assessment?
Why use country systems?
Can an impact evaluation from one country guide another?
Why do shocks have lasting effects on development?
Is risk reduction a development cost or investment?
Does Policy Nexus finance development?
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