Tecnologias da transição energética
Baterias, hidrogênio, armazenamento na rede, renováveis e suas cadeias de abastecimento, modos de falha e risco de transição.
1
Exposição à transição climática
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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Exposição à transição climáticaDomain 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-13Baterias, hidrogênio, armazenamento na rede, renováveis e suas cadeias de abastecimento, modos de falha e risco de transição.
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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
| Índice | Valor | Variação | Variação % | Intervalo de 90% | Classe · probabilidade | Tendência | Faixa |
|---|---|---|---|---|---|---|---|
Exposição à transição climáticaNXS-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.
| Indicador | Domínio | Sub-domain | Componente | Unidade | Níveis | Crosswalks |
|---|---|---|---|---|---|---|
Exportações de bens e serviços, em dólares americanos correntesIND.MAC.external.exports.usd |
MAC | External balance and reserves | context | [USD] |
COUNTRY | WB_WDI BX.GSR.GNFS.CD WB_WDI NE.EXP.GNFS.CD |
Volatilidade dos termos de troca (10 anos)IND.MAC.external.terms_of_trade_volatility |
MAC | External balance and reserves | vulnerability | % |
COUNTRY | |
Receita de recursos naturais, em % da receita do governo geralIND.FIS.revenue.resource_revenue_share |
FIS | Revenue | vulnerability | % |
COUNTRY | |
Exposição bancária a setores intensivos em carbonoIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Empréstimos bancários expostos a alto risco climático físicoIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Abertura comercial (exportações mais importações, em % do PIB)IND.ECO.trade.trade_openness.gdp |
ECO | Comércio | exposure | % |
COUNTRY | WB_WDI NE.TRD.GNFS.ZS |
Receitas do turismo internacional, em % das exportaçõesIND.ECO.trade.tourism_receipts.exports |
ECO | Comércio | vulnerability | % |
COUNTRY | WB_WDI ST.INT.RCPT.XP.ZS |
Remessas pessoais recebidas, em % do PIBIND.ECO.trade.remittances.gdp |
ECO | Comércio | exposure | % |
COUNTRY | WB_WDI BX.TRF.PWKR.DT.GD.ZS SDG 17.3.2 |
Ajuda oficial ao desenvolvimento líquida recebida, em % da RNBIND.ECO.trade.oda_dependence.gni |
ECO | Comércio | exposure | % |
COUNTRY | WB_WDI DT.ODA.ODAT.GN.ZS |
Concentração de produtos exportados (HHI normalizado)IND.ECO.concentration.export_product_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Concentração dos mercados de exportação (HHI normalizado)IND.ECO.concentration.export_market_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Dependência das exportações de commoditiesIND.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 |
Manufaturados, em % das exportações de mercadoriasIND.ECO.concentration.manufactures_export_share |
ECO | Export and import concentration | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.MANF.ZS.UN |
Rendas de recursos naturais, em % do PIBIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Índice de complexidade econômicaIND.ECO.concentration.economic_complexity |
ECO | Export and import concentration | adaptive capacity | {score} |
COUNTRY | |
Importações de alimentos, em % das importações de mercadoriasIND.ECO.concentration.food_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FOOD.ZS.UN |
Importações de combustíveis, em % das importações de mercadoriasIND.ECO.concentration.fuel_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Dependência líquida de importações de minerais críticosIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Concentração da origem das importações (HHI normalizado)IND.ECO.concentration.import_partner_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Parcela de valor agregado estrangeiro nas exportações brutasIND.ECO.supply_chain.gvc_backward_participation |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Concentração de fornecedores das importações de bens intermediáriosIND.ECO.supply_chain.intermediate_supplier_concentration |
ECO | Supply-chain exposure | vulnerability | % |
COUNTRY | |
Comércio marítimo exposto a pontos de estrangulamento marítimosIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Entradas líquidas de investimento estrangeiro direto, em % do PIBIND.ECO.investment.fdi_inflows.gdp |
ECO | Investimento | coping capacity | % |
COUNTRY | WB_WDI BX.KLT.DINV.WD.GD.ZS |
Aquecimento da superfície desde o período pré-industrialIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Variação da precipitação anualIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Taxa de elevação relativa do nível do marIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Dia mais quente do ano (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Proporção de dias quentes (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Variação dos dias muito quentes (35 °C ou mais)IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
Duração dos períodos quentes (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Dia mais chuvoso do ano (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Cinco dias mais chuvosos do ano (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Precipitação dos dias muito chuvosos (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Período seco mais longo (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) |
Aquecimento projetado desde o período pré-industrialIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Variação projetada da temperatura do dia mais quenteIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Variação projetada da precipitação dos cinco dias mais chuvososIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
Elevação relativa projetada do nível do marIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
População abaixo do nível futuro de inundação costeira de 100 anos, em %IND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Emissões totais de gases de efeito estufa, excluindo LULUCFIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Emissões de gases de efeito estufa per capitaIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
Intensidade de carbono do 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) |
Rendas de combustíveis fósseis, em % do 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 |
Exportações de combustíveis, em % das exportações de mercadoriasIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Subsídios explícitos a combustíveis fósseis, em % do 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) |
Meta de emissões da NDC 2030 para toda a economiaIND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Plano nacional de adaptação apresentadoIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Preparação econômica para investimentos em adaptaçãoIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Preparação da governança para a adaptaçãoIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Preparação social para a adaptaçãoIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Financiamento internacional para adaptação recebido per capitaIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
População abaixo de 5 m de altitude, em %IND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Frequência de secas meteorológicas severasIND.HAZ.drought.spei_drought_frequency |
HAZ | Seca | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Dias de calor úmido perigoso por anoIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Dias de condições meteorológicas extremas de incêndio por anoIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Incêndio florestal | hazard | d/a |
COUNTRY, ADM1, GRID | |
Taxa anual de perda de cobertura arbóreaIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Dias de onda de calor marinha por anoIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
PIB em setores altamente dependentes da natureza, em %IND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Nível de estresse hídricoIND.WAT.stress.water_stress |
WAT | Estresse hídrico | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Eficiência do uso da águaIND.WAT.stress.water_use_efficiency |
WAT | Estresse hídrico | adaptive capacity | [USD]/m3 |
COUNTRY | SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD |
PIB em atividades dependentes de GNSS, em %IND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Rede de alta tensão em zonas de alta ameaça geoelétrica, em %IND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Incidência de maláriaIND.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 |
Índice de dependência das importações de cereaisIND.FOO.availability.cereal_import_dependency |
FOO | Availability | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21035 |
Fatura das importações de alimentos, em % das exportações de mercadoriasIND.FOO.prices.food_import_bill_to_exports |
FOO | Food prices | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21033 |
Valor agregado da agricultura, silvicultura e pesca, em % do PIBIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Emprego na agricultura, em % do emprego totalIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilidade do rendimento de cereais (15 anos)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Índice de Saúde da Vegetação em terras de cultivoIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Pontuação do ambiente de negócios (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
População com acesso à eletricidadeIND.ENE.access.electricity_access |
ENE | Acesso | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS |
População que depende principalmente de combustíveis e tecnologias limpos para cozinharIND.ENE.access.clean_cooking |
ENE | Acesso | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Consumo de eletricidade per capitaIND.ENE.access.electricity_consumption.pc |
ENE | Acesso | context | kW.h/a/{person} |
COUNTRY | WB_WDI EG.USE.ELEC.KH.PC |
Parcela renovável do consumo final total de energiaIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Intensidade energética primária do PIBIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Concentração da matriz de geração elétricaIND.ENE.mix.generation_concentration |
ENE | Energy mix | vulnerability | 1 |
COUNTRY | |
Parcela fóssil da geração de eletricidadeIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Capacidade instalada de geração renovável per capitaIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Geração de eletricidade dependente de água, em %IND.ENE.mix.water_dependent_generation.share |
ENE | Energy mix | vulnerability | % |
COUNTRY, ADM1 | |
Dependência líquida de importações de energiaIND.ENE.security.net_energy_imports |
ENE | Supply security and import dependence | exposure | % |
COUNTRY | WB_WDI EG.IMP.CONS.ZS |
Fatura das importações de combustíveis, em % das exportações de bens e serviçosIND.ENE.security.fuel_import_bill.exports |
ENE | Supply security and import dependence | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Concentração de fornecedores de importações de petróleo bruto e derivadosIND.ENE.security.oil_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentração de fornecedores de importações de gás naturalIND.ENE.security.gas_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentração de fornecedores de importações de carvãoIND.ENE.security.coal_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Estoques de petróleo em dias de importações líquidasIND.ENE.security.strategic_oil_stocks |
ENE | Supply security and import dependence | coping capacity | d |
COUNTRY | |
Cortes de energia sofridos pelas empresas num mês típicoIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Valor perdido com cortes de energia, em % das vendas das empresasIND.ENE.reliability.outage_sales_loss |
ENE | Reliability | impact | % |
COUNTRY | WB_WDI IC.FRM.OUTG.ZS |
Duração média das interrupções do sistema (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Frequência média das interrupções do sistema (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Perdas na transmissão e distribuição de energia elétricaIND.ENE.reliability.td_losses |
ENE | Reliability | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.LOSS.ZS |
Graus-dia de aquecimento e resfriamentoIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Concentração de fornecedores de importações de minerais críticosIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Parcela do maior fornecedor nas importações de minerais críticosIND.ENE.minerals.critical_mineral_top_supplier_share |
ENE | Critical minerals | vulnerability | % |
COUNTRY | |
Desempenho logísticoIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Conectividade do transporte marítimo regular em relação à fronteiraIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Resiliência da rede elétricaIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Ativos de geração e de rede elétrica em zonas de alta ameaça, em %IND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Déficit de investimento em infraestrutura, em % do 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 |
Valor agregado dos serviços de TIC, em % do PIBIND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
Despesa interna bruta em P&D, em % do PIBIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Pesquisadores por milhão de habitantesIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Exportações de alta tecnologia, em % das exportações de manufaturadosIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentração de fornecedores de importações de semicondutoresIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentração de provedores de infraestrutura em nuvemIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacidade de computação de IA sob controle estrangeiro ou de um único provedorIND.TEC.ai.ai_compute_foreign_control |
TEC | Inteligência artificial | vulnerability | % |
COUNTRY | |
Concentração de provedores de modelos de fundaçãoIND.TEC.ai.foundation_model_concentration |
TEC | Inteligência artificial | vulnerability | % |
COUNTRY | |
Supervisão de biossegurança e bioproteção de laboratórios de alta contençãoIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotecnologia | coping capacity | {score} |
COUNTRY |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Família | Domínio | Ameaças | Count |
|---|---|---|---|
| AI system failure and misalignment | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 |
| Biotecnologia e biologia sintética | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Tecnologias de intervenção climática | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Tecnologias de fronteira e exponenciais | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Tecnologias de fronteira e exponenciais | 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 | Tecnologias de fronteira e exponenciais | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Sistemas construídos | 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 | Sistemas construídos | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Sistemas construídos | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Sistemas construídos | 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 | Sistemas construídos | 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 | Sistemas construídos | 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 | Sistemas construídos | 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 | Sistemas construídos | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Sistemas construídos | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Sistemas construídos | 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 | Sistemas construídos | 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 | Sistemas construídos | 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 | Sistemas construídos | 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.
Risco energético
Generation Adequacy · Load Forecasting · Renewable Intermittency · Reserve Margin · Loss of Load Probability · Expected Unserved Energy · Grid Reliability …
Mercados, comércio e cadeias de suprimentos
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.
Nexus Reports
- Edition code
XT-13- Edition status
- prevista
- Objeto
- Set by Nexus Reports at commissioning
Citar e reutilizar
- 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.
Situação
A metodologia, a estrutura e as definições do The Global Risks Index constituem um projeto de trabalho preparatório (2026), divulgado para revisão e comentários e não para implementação. Nenhum valor aparece até que uma edição seja publicada a partir de um corte de evidências governado; os valores passam então a ter intervalos, classes, fontes e o respectivo percurso de correção. Os simuladores executam os métodos publicados sobre números que você escolhe e nunca mostram um valor do NXS-GRX.
O que o NXS-GRX não é
O NXS-GRX é informação de pesquisa e de análise de risco. Não é rating de crédito ou ESG e não usa escala de rating, não é referência para instrumentos financeiros, não é estatística oficial, não é alerta de emergência nem classificação oficial e não é aconselhamento. Não deve ser usado para avaliar pessoas físicas. As classes de risco são faixas em uma escala publicada, nunca classificações de países ou pessoas.
Instituições e fontes
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.
Cada valor inclui a atribuição das suas fontes, que mantêm as suas próprias licenças. Os nomes externos são citados apenas para fins de interoperabilidade. Os textos de autoria da Nexus destinam-se a ser publicados sob 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.