A validated farming package raises water-efficient output
How much of this scenario’s gain each nation is ready to take, set against what it stands to lose and how well it can adapt.
Third illustrative run, on the second-pass scenario set. The capability scores are candidate ratings and the test settings were drafted with the scenario records in the second pass; neither has been adopted. Scores are from the GINC National Capability Index 2026, which describes them as candidate ratings. Exposure is set nation by nation from the CIA World Factbook 2025 and the scenario’s regional exposure. Results show the method working on real scores; they are not findings about any nation. How the tests work.
- Gainers
- 37
- net position above +10
- Mixed
- 109
- between the two
- Losers
- 51
- net position below -10
- Largest net gain
- +32
- South Africa
Net position, by region
One dot per nation. The bar marks each region’s mean. Filled dots are net gains; hollow dots are net losses.
- Region mean
- Net gain
- Net loss
Readiness against outcome
Each nation’s readiness to take the gain against its net position. Nations below the zero line lose more than they capture.
- North America
- Europe
- China
- Indo-Pacific
- South Asia
- Gulf and Middle East
- Africa
- Latin America and Caribbean
- Russia and Eurasia
Mean net position by region
Loss exposure in this scenario: farm income and cropland values in grain-exporting nations, highest where production costs are high.
All 197 nations
Capture is gain exposure times readiness. Loss is loss exposure times what adaptability does not cover. The binding capability is the weakest of those the scenario requires: raising it raises the capture rate most.
197 of 197 nations
Rank | Nation | Region | Position | Net | Capture | Loss | Readiness | Adaptability | Binding capability |
|---|---|---|---|---|---|---|---|---|---|
| 1 | South Africa | Africa | Gainer | +31.9 | 33.9 | 2.0 | 56 | 59 | Technology Adoption & Diffusion 10.5 · Transitional |
| 2 | India | South Asia | Gainer | +29.3 | 31.1 | 1.8 | 53 | 64 | Technical & Vocational Skills 9 · Transitional |
| 3 | Egypt | Gulf and Middle East | Gainer | +28.5 | 31.2 | 2.7 | 44 | 46 | Regulatory Governance & Strategic Controls 7.7 · Foundational |
| 4 | Israel | Gulf and Middle East | Gainer | +28.3 | 29.8 | 1.4 | 67 | 71 | Transport Infrastructure 12.4 · Established |
| 5 | China | China | Gainer | +28.0 | 29.0 | 1.0 | 72 | 80 | Technical & Vocational Skills 13 · Established |
| 6 | Taiwan | Indo-Pacific | Gainer | +27.1 | 32.0 | 4.9 | 71 | 76 | Biotechnology & Health Technologies 13.2 · Established |
| 7 | Kenya | Africa | Gainer | +26.9 | 29.9 | 2.9 | 33 | 41 | Biotechnology & Health Technologies 5.2 · Nascent |
| 8 | South Korea | Indo-Pacific | Gainer | +26.0 | 29.2 | 3.2 | 80 | 84 | Technical & Vocational Skills 15.5 · Advanced |
| 9 | Iran | Gulf and Middle East | Gainer | +25.3 | 28.5 | 3.2 | 39 | 35 | Regulatory Governance & Strategic Controls 6.7 · Foundational |
| 11 | Morocco | Africa | Gainer | +24.3 | 26.5 | 2.2 | 42 | 57 | Biotechnology & Health Technologies 6.4 · Foundational |
| 10 | Japan | Indo-Pacific | Gainer | +24.3 | 27.0 | 2.7 | 81 | 87 | Technical & Vocational Skills 15.5 · Advanced |
| 12 | Pakistan | South Asia | Gainer | +24.0 | 27.1 | 3.1 | 36 | 38 | Technology Adoption & Diffusion 6.5 · Foundational |
| 13 | Algeria | Africa | Gainer | +23.7 | 27.0 | 3.3 | 31 | 34 | Biotechnology & Health Technologies 4.4 · Nascent |
| 14 | Nigeria | Africa | Gainer | +23.1 | 26.2 | 3.1 | 33 | 38 | Biotechnology & Health Technologies 5.6 · Nascent |
| 15 | Senegal | Africa | Gainer | +22.3 | 25.5 | 3.2 | 30 | 37 | Biotechnology & Health Technologies 4.6 · Nascent |
| 16 | Singapore | Indo-Pacific | Gainer | +22.2 | 25.3 | 3.0 | 68 | 85 | Agriculture & Food Infrastructure 10.8 · Transitional |
| 17 | Tunisia | Africa | Gainer | +21.2 | 23.9 | 2.7 | 38 | 45 | Biotechnology & Health Technologies 6 · Foundational |
| 18 | Türkiye | Gulf and Middle East | Gainer | +21.1 | 23.0 | 1.8 | 58 | 63 | Biotechnology & Health Technologies 10.4 · Transitional |
| 19 | United Arab Emirates | Gulf and Middle East | Gainer | +20.5 | 22.2 | 1.8 | 52 | 65 | Biotechnology & Health Technologies 8 · Foundational |
| 20 | Saudi Arabia | Gulf and Middle East | Gainer | +19.7 | 21.8 | 2.1 | 51 | 58 | Biotechnology & Health Technologies 8 · Foundational |
| 21 | Rwanda | Africa | Gainer | +19.4 | 22.6 | 3.2 | 28 | 36 | Biotechnology & Health Technologies 4.2 · Nascent |
| 22 | Ghana | Africa | Gainer | +16.1 | 19.1 | 3.0 | 31 | 40 | Biotechnology & Health Technologies 4.8 · Nascent |
| 23 | Uganda | Africa | Gainer | +16.0 | 19.3 | 3.4 | 26 | 33 | Biotechnology & Health Technologies 4 · Nascent |
| 24 | Ethiopia | Africa | Gainer | +15.8 | 19.1 | 3.3 | 24 | 33 | Biotechnology & Health Technologies 3.6 · Nascent |
| 26 | Tanzania | Africa | Gainer | +15.2 | 18.4 | 3.3 | 26 | 35 | Biotechnology & Health Technologies 3.4 · Nascent |
Showing 1–25 of 197 nations · page 1 of 8
Settings of this run
- Required
- Agriculture & Food Infrastructure
- Water, Sanitation & Waste Infrastructure
- Biotechnology & Health Technologies
- Regulatory Governance & Strategic Controls
- Government Effectiveness & Public Administration
- Financial System Depth & Access
- Technology Adoption & Diffusion
- Transport Infrastructure
- Technical & Vocational Skills
Readiness is the average of the mean and the minimum of the nation's scores on the capabilities the scenario requires, as a share of the top of the scale. The minimum holds it down: the weakest required capability limits the gain.
- Adaptive
- Structural Transformation & Complexity
- Export Capability & Sophistication
- Fiscal Capacity & Public Finance
- Trade Policy & Market Access
- Gain exposure
regional exposure (30%); staple foods among the top five imports (25%); low real gdp per head (ranked) (25%); little renewable water per head (ranked) (20%).
- Loss exposure
Farm income and cropland values in grain-exporting nations, highest where production costs are high: regional exposure (100%). Gain and loss exposure are set nation by nation from indicators where one fits, and by region with named exceptions where none does.
- Likelihood
4 per cent over three years and 15 per cent over ten, as used in the opportunity index.