気候介入技術
炭素除去と提案されている気候介入:物理的リスク、ガバナンスリスク、終了リスク。公表された評価のみに基づきます。
5
Climate physical hazard · Climate transition exposure · Environmental pressure · Governance weakness.
114
4 index domains
23
Planetary boundaries and Earth-system tipping · Frontier and exponential technology.
41
Climate, nature and biodiversity · Policy, regulation and governance.
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 interventions are being proposed and tested?
- What governance exists?
- What are the stated physical and termination risks?
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 Climate intervention technologies index is built
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気候の物理的ハザードDomain index · IDX · CLI0–10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041–2060 by default, with other scenarios as alternative runs).
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気候移行エクスポージャーDomain 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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環境負荷Domain index · IDX · ENV0–10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
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ガバナンスの脆弱性Domain index · IDX · GOVWeighted aggregation, on 0 to 10, of governance quality, rule of law, policy and institutional quality and statistical capacity, each oriented by its own polarity so that higher values mean weaker governance.
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技術集中リスクDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
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Climate intervention technologies indexSeries index · SERIES · XT-18炭素除去と提案されている気候介入:物理的リスク、ガバナンスリスク、終了リスク。公表された評価のみに基づきます。
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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
| インデックス | 値 | 変化 | 変化 % | 90% 区間 | 区分 · 確率 | 傾向 | 幅 |
|---|---|---|---|---|---|---|---|
気候の物理的ハザードNXS-GRX · CLI |
– | – | – | – | – | ||
気候移行エクスポージャーNXS-GRX · CLI |
– | – | – | – | – | ||
環境負荷NXS-GRX · ENV |
– | – | – | – | – | ||
ガバナンスの脆弱性NXS-GRX · GOV |
– | – | – | – | – | ||
技術集中リスクNXS-GRX · TEC |
– | – | – | – | – |
Domains read: Climate, Environment and biodiversity, Governance and institutions, Technology and frontier.
114 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| 指標 | 分野 | Sub-domain | 構成要素 | 単位 | レベル | Crosswalks |
|---|---|---|---|---|---|---|
LIC-DSF 複合指標スコア(公表値、参考)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
炭素集約型セクターへの銀行のエクスポージャーIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
物理的気候リスクの高い銀行貸出IND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
天然資源レント(GDP 比)IND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
重要鉱物の純輸入依存度IND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
産業革命前からの地表温暖化IND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
年間降水量の変化IND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
相対的海面上昇率IND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
年最高気温(TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
暖かい日の割合(TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
猛暑日(35 °C 以上)の変化IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
暖候期の継続期間(WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
年最大日降水量(Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
年最大 5 日間降水量(Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
非常に湿潤な日の降水量(R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
最長連続無降水日数(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) |
産業革命前からの予測温暖化IND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
年最高気温の予測変化IND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
最大 5 日間降水量の予測変化IND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
予測される相対的海面上昇IND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
将来の 100 年確率の沿岸洪水水位より低い場所の人口(割合)IND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
LULUCF を除く温室効果ガス総排出量IND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
1 人あたり温室効果ガス排出量IND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
GDP の炭素集約度IND.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) |
化石燃料レント(GDP 比)IND.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 |
燃料輸出(商品輸出に占める割合)IND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
明示的な化石燃料補助金(GDP 比)IND.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) |
NDC 2030 経済全体の排出目標IND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
国家適応計画の提出IND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
適応投資に向けた経済的準備度IND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
適応に向けたガバナンスの準備度IND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
適応に向けた社会的準備度IND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
1 人あたり国際適応資金の受取額IND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
標高 5 m 未満の人口(割合)IND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
深刻な気象干ばつの頻度IND.HAZ.drought.spei_drought_frequency |
HAZ | 干ばつ | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
危険な湿潤暑熱の年間日数IND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
極端な火災気象の年間日数IND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | 林野火災 | hazard | d/a |
COUNTRY, ADM1, GRID | |
年間焼失面積(国土面積に占める割合)IND.HAZ.wildfire.burned_area.share |
HAZ | 林野火災 | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
PM2.5 エクスポージャー(人口加重平均)IND.ENV.air.pm25_exposure |
ENV | 大気質 | hazard | ug/m3 |
COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
WHO の PM2.5 指針値を超える環境にさらされる人口(割合)IND.ENV.air.pm25_guideline_exceedance.share |
ENV | 大気質 | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
季節ピーク時のオゾン・エクスポージャーIND.ENV.air.ozone_exposure |
ENV | 大気質 | hazard | [ppb] |
COUNTRY, ADM1, CITY, GRID | |
国土面積IND.ENV.land.land_area |
ENV | Land and forests | context | km2 |
COUNTRY, ADM1, ADM2, CITY | WB_WDI AG.LND.TOTL.K2 |
森林面積(国土面積に占める割合)IND.ENV.land.forest_cover.share |
ENV | Land and forests | vulnerability | % |
COUNTRY, ADM1 | SDG 15.1.1 WB_WDI AG.LND.FRST.ZS |
樹木被覆の年間喪失率IND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
劣化した土地(国土面積に占める割合)IND.ENV.land.land_degradation.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, GRID | SDG 15.3.1 |
道路密度IND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Red List Index(レッドリスト指数)IND.ENV.biodiversity.red_list_index |
ENV | 生物多様性 | vulnerability | 1 |
GLOBAL, REGION, COUNTRY | SDG 15.5.1 |
Biodiversity Intactness Index(生物多様性完全性指数)IND.ENV.biodiversity.biodiversity_intactness |
ENV | 生物多様性 | vulnerability | 1 |
COUNTRY, ADM1, GRID | |
陸域保護区(国土面積に占める割合)IND.ENV.biodiversity.terrestrial_protected.share |
ENV | 生物多様性 | response | % |
COUNTRY, ADM1 | WB_WDI ER.LND.PTLD.ZS |
保護区に含まれる生物多様性重要地域IND.ENV.biodiversity.key_biodiversity_area_protected.share |
ENV | 生物多様性 | response | % |
COUNTRY, REGION | SDG 15.1.2 |
海洋保護区(領海に占める割合)IND.ENV.ocean.marine_protected.share |
ENV | Ocean | response | % |
COUNTRY | WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1 |
沿岸富栄養化指数IND.ENV.ocean.coastal_eutrophication |
ENV | Ocean | hazard | % |
COUNTRY, REGION | SDG 14.1.1 |
海洋の平均酸性度(pH)IND.ENV.ocean.ocean_acidity |
ENV | Ocean | hazard | [pH] |
COUNTRY, REGION, SITE | SDG 14.3.1 |
生物学的に持続可能な水準にある魚類資源IND.ENV.ocean.sustainable_fish_stocks.share |
ENV | Ocean | vulnerability | % |
GLOBAL, REGION, COUNTRY | SDG 14.4.1 |
年間の海洋熱波日数IND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
1 人あたり一般廃棄物発生量IND.ENV.pollution.msw_generation.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, CITY | |
管理された施設で処理される一般廃棄物IND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
1 人あたりの不適正管理プラスチック廃棄物IND.ENV.pollution.mismanaged_plastic_waste.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, ADM1 | |
自然への依存度が高いセクターの GDP(割合)IND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
動物による受粉に依存する作物生産額(割合)IND.ENV.nature_dependence.pollinator_dependent_crops.share |
ENV | Nature dependence | exposure | % |
COUNTRY, ADM1 | |
周辺水質が良好な水域IND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
安全に処理される排水IND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
国外の再生可能水資源への依存率IND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
運用中の協力体制がある越境流域の面積IND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
マラリア罹患率IND.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 |
農林水産業の付加価値(GDP 比)IND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
農業就業者(総就業者に占める割合)IND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
穀物収量の変動性(15 年)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
耕地(国土面積に占める割合)IND.FOO.agriculture.cropland.share |
FOO | Agricultural production and dependence | exposure | % |
COUNTRY, ADM1, ADM2, GRID | WB_WDI AG.LND.ARBL.ZS |
耕地の植生健全度指数(Vegetation Health Index)IND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
国会で女性が占める議席IND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
国民の発言力と説明責任(WGI)IND.GOV.quality.voice_accountability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_VA.SC WB_WGI GOV_WGI_VA.EST |
政治的安定と暴力の不在(WGI)IND.GOV.quality.political_stability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_PV.SC WB_WGI GOV_WGI_PV.EST |
政府の有効性(WGI)IND.GOV.quality.government_effectiveness |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST |
汚職の抑制(WGI)IND.GOV.quality.control_of_corruption |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_CC.SC WB_WGI GOV_WGI_CC.EST |
腐敗認識指数(Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
報道の自由スコア(RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
法の支配(WGI)IND.GOV.rule_of_law.rule_of_law |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RL.SC WB_WGI GOV_WGI_RL.EST |
財産権とルールに基づくガバナンス(CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
未決拘禁者(受刑者人口に占める割合)IND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
企業の贈賄発生率IND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
規制の質(WGI)IND.GOV.policy.regulatory_quality |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RQ.SC WB_WGI GOV_WGI_RQ.EST |
CPIA 総合評価(IDA 資源配分指数)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA 公共部門の管理と制度IND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA 公共部門の透明性、説明責任、汚職IND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
歳入動員の効率性(CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
承認予算からの予算執行の乖離IND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
統計パフォーマンス指標の総合スコアIND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
出生登録の完全性IND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
前回の国勢調査からの年数IND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
ビジネス環境スコア(B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
最終エネルギー消費総量に占める再生可能エネルギーの割合IND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
GDP の一次エネルギー原単位IND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
発電量に占める化石燃料の割合IND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
1 人あたり再生可能エネルギー設備容量IND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
冷暖房度日IND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
重要鉱物の輸入供給元集中度IND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
ITU GCI 法的措置の柱IND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
ITU GCI 組織的措置の柱IND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
データ保護・プライバシー法の施行IND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
電子政府の発展度IND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
研究開発費総額(GDP 比)IND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
人口 100 万人あたり研究者数IND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
ハイテク輸出(工業製品輸出に占める割合)IND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
半導体の輸入供給元集中度IND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
クラウド・インフラ提供者の集中度IND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
外国または単一提供者の管理下にある AI 計算能力IND.TEC.ai.ai_compute_foreign_control |
TEC | 人工知能 | vulnerability | % |
COUNTRY | |
基盤モデル提供者の集中度IND.TEC.ai.foundation_model_concentration |
TEC | 人工知能 | vulnerability | % |
COUNTRY | |
高度封じ込め実験施設のバイオセーフティとバイオセキュリティの監督IND.TEC.bio.biosecurity_lab_oversight |
TEC | バイオテクノロジー | coping capacity | {score} |
COUNTRY | |
仙台防災枠組に沿った国の DRR 戦略IND.CRS.drr.national_drr_strategy |
CRS | DRR strategy | coping capacity | {score} |
COUNTRY | SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2 |
国の戦略に沿った DRR 戦略を持つ地方自治体IND.CRS.drr.local_drr_strategies |
CRS | DRR strategy | coping capacity | % |
COUNTRY, ADM1 | SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| ファミリー | 分野 | ハザード | Count |
|---|---|---|---|
| Planetary boundary transgressions | プラネタリー・バウンダリーと地球システムの転換点 | Climate-forcing boundary transgression, Global temperature overshoot, Global warming acceleration, Atmospheric methane surge, Extinction-rate boundary transgression, Biosphere functional integrity loss, Land-system change boundary transgression, Blue-water flow disturbance … | 14 |
| Ice tipping elements | プラネタリー・バウンダリーと地球システムの転換点 | Greenland ice sheet tipping, West Antarctic ice sheet collapse, East Antarctic subglacial basin retreat, Arctic winter sea-ice collapse, Antarctic sea-ice regime shift, Regional glacier extinction | 6 |
| Ocean circulation and marine tipping | プラネタリー・バウンダリーと地球システムの転換点 | Atlantic overturning weakening, Atlantic overturning collapse, Subpolar gyre convection collapse, Antarctic overturning slowdown, Arctic Ocean atlantification, Warm-water coral reef die-off, Marine methane hydrate destabilisation | 7 |
| Biome tipping elements | プラネタリー・バウンダリーと地球システムの転換点 | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | プラネタリー・バウンダリーと地球システムの転換点 | Permafrost carbon release, Abrupt permafrost thaw emission, Subsea permafrost greenhouse gas release, Wetland methane feedback, Land carbon sink weakening, Ocean carbon sink weakening, Soil carbon respiration feedback | 7 |
| Atmospheric circulation and monsoon tipping | プラネタリー・バウンダリーと地球システムの転換点 | South Asian monsoon regime shift, West African monsoon regime shift, South American monsoon weakening, East Asian monsoon regime shift, Tropical belt widening, Tropical Pacific regime change, Jet-stream regime change, Marine stratocumulus deck breakup … | 9 |
| Deep-time and cosmic catastrophes | プラネタリー・バウンダリーと地球システムの転換点 | Supereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova … | 10 |
| AI system failure and misalignment | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 |
| バイオテクノロジーと合成生物学 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| 気候介入技術 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | フロンティア技術と指数関数的技術 | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | フロンティア技術と指数関数的技術 | 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 | フロンティア技術と指数関数的技術 | Smart-contract and oracle exploit | 1 |
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.
気候、自然、生物多様性
Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …
政策、規制、ガバナンス
Scenario Counterfactual · Regulatory Change Risk · Policy Uncertainty · Policy Effectiveness · Implementation Gap · Regulatory Exposure · Compliance Obligation Mapping …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Universities and research
Replicate every value. Study methods. Contribute data and review.
UN system and humanitarian organisations
Compare needs across contexts with intervals. Watch weekly signals for review. Read outlooks for anticipatory planning.
Nexus Reports
- Edition code
XT-18- Edition status
- 予定
- 対象
- Set by Nexus Reports at commissioning
引用と再利用
- Series key
grix:SER.XT-18:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:Anis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:Anis:IDX.ENV.biodiversity.environmental_pressure:{ISO3}:{YEAR}:A
ステータス
The Global Risks Index の手法、構造、定義は準備段階の作業草案(2026 年)であり、レビューと意見募集のために配布されているもので、実施を目的としたものではありません。管理されたエビデンスの区切りから版が公表されるまで、値は一切表示されません。公表後の値には、区間、区分、出典、訂正の経路が付されます。シミュレーターは、公表された手法をあなたが選んだ数値で実行するものであり、NXS-GRX の値を表示することはありません。
NXS-GRX ではないもの
NXS-GRX は研究およびリスク分析の情報です。信用格付や ESG 格付ではなく、格付尺度を用いず、金融商品のベンチマークでも、公的統計でも、緊急警報や公式分類でも、助言でもありません。自然人の評価に用いてはなりません。リスククラスは公開された尺度上の区分であり、国や人の順位付けではありません。
機関と情報源
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.
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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.