G-P15 · TOPIC · food-energy-water-economicsGCRI dossier · service level R0
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Topic dossier · Economic Development

Food energy water economics

Food, energy and water are inputs to every sector and large shares of household budgets in poorer countries. Their prices, markets, subsidies and investment shape growth, inflation, poverty and fiscal balances, and they are linked to each other. This page sets out how these resource markets affect development, how price and access are measured, and what evidence serves the ministries and regulators involved.

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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

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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.

For food energy water economics, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with a past-year temperature and sunshine chart at the centre, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · GDACS · Copernicus Sentinel-2 L2ASources 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 H3 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 H3 cells where shown (modified). NASA open data
  • 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 H3 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 H3 cells where shown (modified). CC BY 4.0
  • 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 H3 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 H3 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 H3 cells where shown (modified). 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 H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 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.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (35 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

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Gross primary production, 8-day total: MODIS Aqua GPP (MYD17), NASA LP DAAC · 30 Sep 2026

01In brief

The short answer.

Resource prices in development is the study of prices, markets, subsidies and investment in three resources every sector depends on. Food prices dominate poor budgets, energy costs pass through the economy, universal subsidies are costly and often regressive, and underpriced water leaves infrastructure underfunded.

02Console

Shock propagation model, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Shock propagation model

Food energy water economics · National economy · Scenario: import price shock

Output loss above thresholdGCRI · Economic Development

Output impact by channel

Most affected sectors

Food processing▼ 83062Backward
Transport▼ 65411Forward
Construction▼ 44826Backward
Retail▼ 37308Demand

Fiscal room

local units, billions, illustrative

Revenue loss2.2Support measures3.4Contingency reserve1.0 · req 2.5
Shock propagation model: the screen's structure, terms and states for Food energy water economics.Placeholder names and illustrative values; a design, not a record or a live system.
03The question

Food energy water economics: how the risk develops.

Critical cost and livelihood dependencies. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Food prices dominate poor budgets

Poor households spend a large share of income on food, so food price spikes cut real incomes sharply and can push people into poverty.

Mechanism

Energy prices pass through the economy

Fuel and electricity costs feed into transport, production and food prices, spreading energy shocks across sectors.

Mechanism

Subsidies are costly and regressive

Universal fuel and electricity subsidies cost budgets heavily and often benefit wealthier households most. Targeted support costs less per poor household.

Mechanism

Water is underpriced and underinvested

Low tariffs and weak utilities leave water infrastructure underfunded, raising costs for those served by vendors and reducing reliability.

04Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Pass-throughThe extent to which a change in one price is transmitted to other prices.
Regressive subsidyA subsidy whose benefits go disproportionately to higher-income households rather than the poor.
Cost of a healthy dietThe lowest cost of foods meeting dietary guidelines in a country.
05Indicators

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.

IndicatorUnitCadenceSource typeLabel
Food inflationpercent change in food consumer pricesmonthlyConsumer price indicesOFFICIAL
Share of food in household spendingpercentper surveyHousehold budget surveysESTIMATED
Energy subsidiespercent of GDPannualIMF and IEA estimatesESTIMATED
Electricity accesspercent of populationannualTracking SDG 7ESTIMATED
Water tariff cost recoveryratio of revenue to operating costannualUtility dataREPORTED
Cost of a healthy dietcurrency per person per dayannualFAO and World Bank estimatesESTIMATED
06Canvas

From sources to decisions.

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.

Pipeline canvas · Food energy water economics as a run graphDesign, not a record
Food energy water economics: debt sustainability analysisA macro baseline drives debt dynamics; standard and tailored shocks (growth, rates, exchange rate, disasters, contingent liabilities) give a fan of paths; thresholds and the heat map give a risk rating that informs the debt strategy. Design of the process, not a record of a run.

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.

07Sources

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.

SourceWhat it givesLicence class
FAOSTAT food price and food security dataPrices and cost of a healthy dietOpen, CC BY 4.0
IMF fossil fuel subsidy estimatesExplicit and implicit energy subsidiesPublic, IMF terms
Tracking SDG 7 reportEnergy access by countryOpen, CC BY 3.0 IGO
IBNET utility dataWater tariffs and cost recoveryPublic, World Bank terms (to check)
National consumer price indicesFood and energy inflationPublic records, licence per statistics office
08Decisions

Who decides, and what the evidence serves.

Economic Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Ministries of finance and energyHow to reform subsidies while protecting the poorSubsidy distribution reviews; incidence analyses
Ministries of agriculture and social protectionHow to respond to food price spikesPrice shock incidence evidence
Water and energy regulatorsHow to set tariffs that fund services and remain affordableCost recovery and affordability evidence

Outputs this topic produces

  • Price shock incidence analyses by household group
  • Subsidy cost and distribution reviews
  • Resource access and affordability profiles
  • Evidence notes on reform options
09Core questions

What experts ask about essential costs.

  • How much of household spending goes to food, energy and water, and how does that vary by income?
  • How do price changes in one of these goods affect the others?
  • How do subsidies and tariffs affect fiscal budgets and incentives?
  • Which livelihoods depend directly on agriculture, water and energy?
  • How do climate shocks affect prices and incomes in these sectors?
10Mechanisms and drivers

How essential costs shape development.

Poorer households spend a larger share of their income on food and energy, so price increases hit them hardest and can push people into poverty. Rising food prices can reduce nutrition, with long-term effects on health and learning.

The three goods are interlinked. Energy is used to pump and treat water and to produce fertiliser, process and transport food; water is used in agriculture and in many forms of power generation. A shock in one can raise costs in the others.

Many governments subsidise food, fuel or water to protect households. Subsidies can be costly, poorly targeted and hard to reform, and they can encourage overuse. Reform without adequate compensation can cause hardship and unrest.

11Methods and data

Methods and their limits.

  1. 01

    Household budget surveys

    Data on spending patterns by income group. Surveys are infrequent.

  2. 02

    Price transmission analysis

    Studying how prices pass through markets using econometrics. Transmission changes with policy.

  3. 03

    Microsimulation

    Estimating effects of price or subsidy changes on households. Behavioural responses are simplified.

  4. 04

    Coupled sector models

    Linking food, energy and water models with coupled systems modelling. Coupling assumptions matter.

Price data in many markets are incomplete, and informal markets are poorly captured.

12Methods

How it is studied, and what the methods cannot say.

13Questions

Questions and answers.

Why do food prices matter for poverty?
Because poor households spend a large share of their income on food, so price increases reduce what they can afford most.
Who benefits from fuel subsidies?
Studies by the IMF and others find that universal fuel subsidies often benefit wealthier households most, because they consume more energy.
What is cost recovery in water services?
The extent to which a utility's revenue covers its costs of operating, maintaining and replacing infrastructure.
Why study these three together?
Because they are linked in production and in household budgets, so shocks in one affect the others.
Does the platform take a view on subsidies?
No. It analyses costs, benefits and distributional effects, and leaves choices to governments.
Are livelihoods included?
Yes. Many people earn their living in agriculture, water and energy, and their incomes are part of the topic.
How do climate shocks affect these costs?
Droughts, floods and heat reduce harvests, hydropower and water availability, raising prices and cutting incomes for those who depend on these sectors.
Economic Development

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