Technologies de la transition énergétique
Batteries, hydrogène, stockage sur réseau, énergies renouvelables et leurs chaînes d’approvisionnement, modes de défaillance et risque de transition.
1
Exposition à la transition climatique
111
4 index domains
29
Frontier and exponential technology · Built systems
56
Energy risk · Markets, trade and supply chains.
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which transition technologies carry concentrated supply risk?
- What new failure modes do they introduce?
- How do they shift energy security?
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
How the Energy transition technologies index is built
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Exposition à la transition climatiqueDomain index · IDX · CLI0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
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Energy transition technologies indexSeries index · SERIES · XT-13Batteries, hydrogène, stockage sur réseau, énergies renouvelables et leurs chaînes d’approvisionnement, modes de défaillance et risque de transition.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Indice | Valeur | Variation | Variation % | Intervalle à 90 % | Classe · probabilité | Tendance | Plage |
|---|---|---|---|---|---|---|---|
Exposition à la transition climatiqueNXS-GRX · CLI |
– | – | – | – | – |
Domains read: Energy, Technology and frontier, Economic structure and trade, Climate.
111 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indicateur | Domaine | Sub-domain | Composant | Unité | Niveaux | Crosswalks |
|---|---|---|---|---|---|---|
Exportations de biens et services, dollars US courantsIND.MAC.external.exports.usd |
MAC | External balance and reserves | context | [USD] |
COUNTRY | WB_WDI BX.GSR.GNFS.CD WB_WDI NE.EXP.GNFS.CD |
Volatilité des termes de l'échange (10 ans)IND.MAC.external.terms_of_trade_volatility |
MAC | External balance and reserves | vulnerability | % |
COUNTRY | |
Recettes tirées des ressources naturelles, part des recettes des administrations publiquesIND.FIS.revenue.resource_revenue_share |
FIS | Revenue | vulnerability | % |
COUNTRY | |
Exposition bancaire aux secteurs à forte intensité de carboneIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Prêts bancaires exposés à un risque physique climatique élevéIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Ouverture commerciale (exportations plus importations, part du PIB)IND.ECO.trade.trade_openness.gdp |
ECO | Commerce | exposure | % |
COUNTRY | WB_WDI NE.TRD.GNFS.ZS |
Recettes du tourisme international, part des exportationsIND.ECO.trade.tourism_receipts.exports |
ECO | Commerce | vulnerability | % |
COUNTRY | WB_WDI ST.INT.RCPT.XP.ZS |
Envois de fonds personnels reçus, part du PIBIND.ECO.trade.remittances.gdp |
ECO | Commerce | exposure | % |
COUNTRY | WB_WDI BX.TRF.PWKR.DT.GD.ZS SDG 17.3.2 |
Aide publique au développement nette reçue, part du RNBIND.ECO.trade.oda_dependence.gni |
ECO | Commerce | exposure | % |
COUNTRY | WB_WDI DT.ODA.ODAT.GN.ZS |
Concentration des produits exportés (IHH normalisé)IND.ECO.concentration.export_product_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Concentration des marchés d'exportation (IHH normalisé)IND.ECO.concentration.export_market_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Dépendance aux exportations de produits de baseIND.ECO.concentration.commodity_export_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN WB_WDI TX.VAL.MMTL.ZS.UN WB_WDI TX.VAL.FOOD.ZS.UN WB_WDI TX.VAL.AGRI.ZS.UN |
Produits manufacturés, part des exportations de marchandisesIND.ECO.concentration.manufactures_export_share |
ECO | Export and import concentration | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.MANF.ZS.UN |
Rentes des ressources naturelles, part du PIBIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Indice de complexité économiqueIND.ECO.concentration.economic_complexity |
ECO | Export and import concentration | adaptive capacity | {score} |
COUNTRY | |
Importations alimentaires, part des importations de marchandisesIND.ECO.concentration.food_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FOOD.ZS.UN |
Importations de carburants, part des importations de marchandisesIND.ECO.concentration.fuel_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Dépendance nette aux importations de minerais critiquesIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Concentration des origines des importations (IHH normalisé)IND.ECO.concentration.import_partner_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Part de la valeur ajoutée étrangère dans les exportations brutesIND.ECO.supply_chain.gvc_backward_participation |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Concentration des fournisseurs de biens intermédiaires importésIND.ECO.supply_chain.intermediate_supplier_concentration |
ECO | Supply-chain exposure | vulnerability | % |
COUNTRY | |
Commerce maritime exposé aux points d'étranglement maritimesIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Entrées nettes d'investissements directs étrangers, part du PIBIND.ECO.investment.fdi_inflows.gdp |
ECO | Investissement | coping capacity | % |
COUNTRY | WB_WDI BX.KLT.DINV.WD.GD.ZS |
Réchauffement en surface depuis l'ère préindustrielleIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Évolution des précipitations annuellesIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Taux d'élévation relative du niveau de la merIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Jour le plus chaud de l'année (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Part des jours chauds (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Évolution des jours très chauds (35 °C ou plus)IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
Durée des périodes chaudes (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Jour le plus pluvieux de l'année (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Cinq jours les plus pluvieux de l'année (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Précipitations des jours très pluvieux (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Plus longue période sèche (CDD)IND.CLI.physical_acute.consecutive_dry_days |
CLI | Acute climate extremes | hazard | d |
COUNTRY, ADM1, GRID | |
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share |
CLI | Acute climate extremes | exposure | % |
SITE, PORTFOLIO | IFRS_S2 29(c) |
Réchauffement projeté depuis l'ère préindustrielleIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Évolution projetée de la température du jour le plus chaudIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Évolution projetée des précipitations des cinq jours les plus pluvieuxIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
Élévation relative projetée du niveau de la merIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Population sous le futur niveau de crue côtière de période de retour 100 ans, partIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Émissions totales de gaz à effet de serre hors UTCATFIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Émissions de gaz à effet de serre par habitantIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
Intensité carbone du PIBIND.CLI.emissions.carbon_intensity_gdp |
CLI | Emissions | exposure | kg/[USD] |
COUNTRY | WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1 |
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions |
CLI | Emissions | exposure | Mt/a |
PORTFOLIO | IFRS_S2 29(a)(vi) |
Rentes des combustibles fossiles, part du PIBIND.CLI.transition.fossil_fuel_rents.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS |
Exportations de carburants, part des exportations de marchandisesIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Subventions explicites aux combustibles fossiles, part du PIBIND.CLI.transition.fossil_fuel_subsidies.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | |
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share |
CLI | Transition exposure | exposure | % |
PORTFOLIO | IFRS_S2 29(b) |
Objectif d'émissions de la CDN 2030 pour l'ensemble de l'économieIND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Plan national d'adaptation soumisIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Préparation économique à l'investissement dans l'adaptationIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Préparation de la gouvernance à l'adaptationIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Préparation sociale à l'adaptationIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Financement international de l'adaptation reçu par habitantIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
Population à moins de 5 m d'altitude, partIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Fréquence des sécheresses météorologiques sévèresIND.HAZ.drought.spei_drought_frequency |
HAZ | Sécheresse | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Jours de chaleur humide dangereuse par anIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Jours de conditions météorologiques extrêmes propices aux incendies par anIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Feux de forêt | hazard | d/a |
COUNTRY, ADM1, GRID | |
Taux annuel de perte du couvert arboréIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Jours de vague de chaleur marine par anIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
PIB des secteurs fortement dépendants de la nature, partIND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Niveau de stress hydriqueIND.WAT.stress.water_stress |
WAT | Stress hydrique | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Efficacité de l'utilisation de l'eauIND.WAT.stress.water_use_efficiency |
WAT | Stress hydrique | adaptive capacity | [USD]/m3 |
COUNTRY | SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD |
PIB des activités dépendantes du GNSS, partIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Réseau haute tension en zones d'aléa géoélectrique élevé, partIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Incidence du paludismeIND.HLT.burden.malaria_incidence |
HLT | Disease burden and mortality | hazard | /10*3 |
COUNTRY | WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA |
Taux de dépendance aux importations de céréalesIND.FOO.availability.cereal_import_dependency |
FOO | Availability | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21035 |
Facture des importations alimentaires, part des exportations de marchandisesIND.FOO.prices.food_import_bill_to_exports |
FOO | Food prices | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21033 |
Valeur ajoutée de l'agriculture, de la sylviculture et de la pêche, part du PIBIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Emploi dans l'agriculture, part de l'emploi totalIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilité du rendement céréalier (15 ans)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Indice de santé de la végétation sur les terres cultivéesIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Score de l'environnement des affaires (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Population ayant accès à l'électricitéIND.ENE.access.electricity_access |
ENE | Accès | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS |
Population utilisant principalement des combustibles et technologies de cuisson propresIND.ENE.access.clean_cooking |
ENE | Accès | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Consommation d'électricité par habitantIND.ENE.access.electricity_consumption.pc |
ENE | Accès | context | kW.h/a/{person} |
COUNTRY | WB_WDI EG.USE.ELEC.KH.PC |
Part des renouvelables dans la consommation finale totale d'énergieIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Intensité énergétique primaire du PIBIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Concentration du mix de production d'électricitéIND.ENE.mix.generation_concentration |
ENE | Energy mix | vulnerability | 1 |
COUNTRY | |
Part fossile de la production d'électricitéIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Capacité de production renouvelable installée par habitantIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Production d'électricité dépendante de l'eau, partIND.ENE.mix.water_dependent_generation.share |
ENE | Energy mix | vulnerability | % |
COUNTRY, ADM1 | |
Dépendance nette aux importations d'énergieIND.ENE.security.net_energy_imports |
ENE | Supply security and import dependence | exposure | % |
COUNTRY | WB_WDI EG.IMP.CONS.ZS |
Facture des importations de carburants, part des exportations de biens et servicesIND.ENE.security.fuel_import_bill.exports |
ENE | Supply security and import dependence | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Concentration des fournisseurs de pétrole brut et de produits pétroliers importésIND.ENE.security.oil_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentration des fournisseurs de gaz naturel importéIND.ENE.security.gas_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentration des fournisseurs de charbon importéIND.ENE.security.coal_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Stocks pétroliers en jours d'importations nettesIND.ENE.security.strategic_oil_stocks |
ENE | Supply security and import dependence | coping capacity | d |
COUNTRY | |
Coupures de courant subies par les entreprises au cours d'un mois typeIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Valeur perdue du fait des coupures de courant, part du chiffre d'affaires des entreprisesIND.ENE.reliability.outage_sales_loss |
ENE | Reliability | impact | % |
COUNTRY | WB_WDI IC.FRM.OUTG.ZS |
Durée moyenne des interruptions du réseau (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Fréquence moyenne des interruptions du réseau (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Pertes de transport et de distribution d'électricitéIND.ENE.reliability.td_losses |
ENE | Reliability | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.LOSS.ZS |
Degrés-jours de chauffage et de climatisationIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Concentration des fournisseurs de minerais critiques importésIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Part du premier fournisseur dans les importations de minerais critiquesIND.ENE.minerals.critical_mineral_top_supplier_share |
ENE | Critical minerals | vulnerability | % |
COUNTRY | |
Performance logistiqueIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Connectivité des transports maritimes réguliers par rapport à la frontièreIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Résilience du réseau électriqueIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Actifs de production et de réseau électriques en zones d'aléa élevé, partIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Déficit d'investissement dans les infrastructures, part du PIBIND.INF.utilities.infrastructure_investment_gap.gdp |
INF | Utilities | vulnerability | % |
COUNTRY | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
Valeur ajoutée des services TIC, part du PIBIND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
Dépense intérieure brute de R&D, part du PIBIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Chercheurs par million d'habitantsIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Exportations de haute technologie, part des exportations de produits manufacturésIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentration des fournisseurs de semi-conducteurs importésIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentration des fournisseurs d'infrastructure cloudIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacité de calcul pour l'IA sous contrôle étranger ou d'un fournisseur uniqueIND.TEC.ai.ai_compute_foreign_control |
TEC | Intelligence artificielle | vulnerability | % |
COUNTRY | |
Concentration des fournisseurs de modèles de fondationIND.TEC.ai.foundation_model_concentration |
TEC | Intelligence artificielle | vulnerability | % |
COUNTRY | |
Supervision de la biosûreté et de la biosécurité des laboratoires de haut confinementIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Famille | Domaine | Aléas | Count |
|---|---|---|---|
| AI system failure and misalignment | Technologies de pointe et exponentielles | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Technologies de pointe et exponentielles | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Technologies de pointe et exponentielles | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Technologies de pointe et exponentielles | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Technologies de pointe et exponentielles | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Technologies de pointe et exponentielles | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnologie et biologie de synthèse | Technologies de pointe et exponentielles | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Technologies de pointe et exponentielles | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Technologies de pointe et exponentielles | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Technologies de pointe et exponentielles | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologies d’intervention climatique | Technologies de pointe et exponentielles | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Technologies de pointe et exponentielles | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Technologies de pointe et exponentielles | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Technologies de pointe et exponentielles | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Technologies de pointe et exponentielles | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Technologies de pointe et exponentielles | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Systèmes bâtis | Building collapse, Facade and cladding failure, Non-building structure failure, Bridge failure, Tunnel failure, Dam failure, Levee breach, Pipeline rupture | 8 |
| Utility and communication network outage | Systèmes bâtis | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Systèmes bâtis | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Systèmes bâtis | Industrial explosion, Reactive chemical store explosion, Industrial fire, Building and urban fire, Explosives accident, Mine accident, Oil and gas extraction accident, Battery thermal runaway fire … | 15 |
| Energy system instability and shortfall | Systèmes bâtis | Low-inertia grid instability, System frequency collapse, Voltage collapse, Mass inverter disconnection, Grid power oscillation, Generation adequacy shortfall, Low wind and solar energy drought, Drought-driven hydropower shortfall … | 22 |
| Water and wastewater system failure | Systèmes bâtis | Wastewater treatment plant failure, Distribution network contamination intrusion, Water treatment dosing error, Prolonged drinking-water advisory, Desalination plant outage, Raw-water intake loss, Chronic distribution leakage, Intermittent piped supply … | 9 |
| Telecom and data-centre failure | Systèmes bâtis | Data-centre outage, Data-centre fire, Mobile or fixed core network failure, Terrestrial fibre backbone cut, Internet exchange or landing hub failure, Time and synchronisation failure, Telecom backup power exhaustion, Broadcast transmission loss | 8 |
| Space-based service loss | Systèmes bâtis | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Systèmes bâtis | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Systèmes bâtis | Air traffic management failure, Large-scale airspace closure, Rail network outage, Heat-induced track buckling, Strategic road network closure, Low-water navigation restriction, Navigation lock or canal structure failure, Dangerous goods transport accident … | 12 |
| Food system infrastructure failure | Systèmes bâtis | Food storage loss, Irrigation system failure, Food processing bottleneck, Strategic food reserve depletion, Loss of energy for food production | 5 |
| Urban and building-stock stress | Systèmes bâtis | Building overheating, Seismically and structurally vulnerable stock, Defective building material in use, Construction and temporary works collapse, Tunnelling and excavation ground damage, High-rise evacuation failure | 6 |
| Ageing and degraded infrastructure | Systèmes bâtis | Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage | 7 |
How this risk can move to 2100
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
Risque énergétique
Generation Adequacy · Load Forecasting · Renewable Intermittency · Reserve Margin · Loss of Load Probability · Expected Unserved Energy · Grid Reliability …
Marchés, commerce et chaînes d'approvisionnement
Commodity Price Risk · Price Volatility · Market Regime · Demand Forecasting · Supply Forecasting · Trade Dependency · Bilateral Concentration …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Banks, asset managers and sovereign investors
Read sovereign and systemic context. Run climate pathway packs. Build portfolio postures.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
International financial institutions and development banks
Screen country and project context. Read fiscal resilience and protection gaps. Design pre-arranged finance questions.
Rapports Nexus
- Edition code
XT-13- Edition status
- prévue
- Objet
- Set by Nexus Reports at commissioning
Citer et réutiliser
- Series key
grix:SER.XT-13:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Statut
La méthodologie, la structure et les définitions de The Global Risks Index constituent un projet de travail préparatoire (2026), diffusé pour examen et commentaires et non pour mise en œuvre. Aucune valeur n'apparaît avant la publication d'une édition à partir d'une coupe de données probantes encadrée ; les valeurs comportent alors des intervalles, des classes, des sources et leur voie de correction. Les simulateurs appliquent les méthodes publiées à des nombres que vous choisissez et n'affichent jamais de valeur NXS-GRX.
Ce que NXS-GRX n'est pas
NXS-GRX est une information de recherche et d'analyse des risques. Ce n'est pas une notation de crédit ou ESG et il n'utilise aucune échelle de notation ; ce n'est pas un indice de référence pour des instruments financiers, ni une statistique officielle, ni une alerte d'urgence ou une classification officielle, ni un conseil. Il ne doit pas servir à évaluer des personnes physiques. Les classes de risque sont des bandes sur une échelle publiée, jamais des classements de pays ou de personnes.
Institutions et sources
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Chaque valeur porte l'attribution de ses sources, qui conservent leurs propres licences. Les noms externes ne sont cités qu'à des fins d'interopérabilité. Les textes rédigés par Nexus sont destinés à être publiés sous licence CC BY 4.0.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.