The Global Risks Index · XT-18 · Exponential technology series
기후 개입 기술
탄소 제거와 제안된 기후 개입: 물리적, 거버넌스, 중단 리스크. 공개된 평가에서만 파악합니다.
Page GRX-SER-XT-18Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX (canonical data, provenance and risk) proposedNexus Reports XT-18 (planned)Values not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
영역 지수
5
Climate physical hazard · Climate transition exposure · Environmental pressure · Governance weakness.
지표
114
4 index domains
Hazard families
23
Planetary boundaries and Earth-system tipping · Frontier and exponential technology.
방법론
41
Climate, nature and biodiversity · Policy, regulation and governance.
5
영역 지수
114
indicators in scope
2
재해 영역
3
client groups
01범위
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?
02Construction
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.
computation
How the Climate intervention technologies index is built
Graph9 nodes
그래프
01영역 지수
02Series index
03Readings
100%
색인
-
기후 물리적 재해Domain 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).
-
기후 전환 노출Domain 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).
-
환경 압력Domain 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.
-
거버넌스 취약성Domain 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.
-
기술 집중 리스크Domain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
-
Climate intervention technologies indexSeries index · SERIES · XT-18탄소 제거와 제안된 기후 개입: 물리적, 거버넌스, 중단 리스크. 공개된 평가에서만 파악합니다.
-
Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
-
Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
-
Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
실행 전진행 중완료
03지수
Domain indices in this series
The Global Risks Index · XT-18 · 195 profiles · 0–10 scale
Climate intervention technologies index, world
–
값은 판과 함께 게시되며, 구간, 등급, 변화가 여기에 표시됩니다.
| 지수 | 값 | 변화 | 변화 % | 90% 구간 | 등급 · 확률 | 추세 | 범위 |
|---|---|---|---|---|---|---|---|
기후 물리적 재해NXS-GRX · CLI |
– | – | – | – | – | ||
기후 전환 노출NXS-GRX · CLI |
– | – | – | – | – | ||
환경 압력NXS-GRX · ENV |
– | – | – | – | – | ||
거버넌스 취약성NXS-GRX · GOV |
– | – | – | – | – | ||
기술 집중 리스크NXS-GRX · TEC |
– | – | – | – | – |
Domains read: Climate, Environment and biodiversity, Governance and institutions, Technology and frontier.
04지표
114 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
FIG 3 · Indicators in scope, by domain and sub-domain
| 지표 | 영역 | Sub-domain | 구성 요소 | 단위 | 단계 | Crosswalks |
|---|---|---|---|---|---|---|
LIC-DSF 복합 지표 점수(공표치, 참고)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
탄소 집약 부문에 대한 은행 노출IND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
높은 물리적 기후 리스크에 노출된 은행 대출IND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
천연자원 지대, GDP 대비 비율IND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
핵심 광물 순수입 의존도IND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
산업화 이전 대비 지표면 온난화IND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
연 강수량 변화IND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
상대 해수면 상승 속도IND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
연중 최고 일최고기온(TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
온난일 비율(TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
폭염일(35 °C 이상) 변화IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
온난 기간 지속일수(WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
연중 최다 일강수량(Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
연중 최다 5일 강수량(Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
극한 다우일 강수량(R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
최장 연속 건조일수(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) |
산업화 이전 대비 예상 온난화IND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
연중 최고기온의 예상 변화IND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
최다 5일 강수량의 예상 변화IND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
예상 상대 해수면 상승IND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
미래 100년 빈도 해안 홍수 수위 아래 인구, 비율IND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
LULUCF 제외 온실가스 총배출량IND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
1인당 온실가스 배출량IND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
GDP 탄소 집약도IND.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) |
화석연료 지대, GDP 대비 비율IND.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 |
연료 수출, 상품 수출 대비 비율IND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
명시적 화석연료 보조금, GDP 대비 비율IND.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 경제 전반 배출 목표IND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
국가 적응 계획 제출 여부IND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
적응 투자에 대한 경제적 준비도IND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
적응에 대한 거버넌스 준비도IND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
적응에 대한 사회적 준비도IND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
1인당 국제 적응 재원 수취액IND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
해발 5 m 이하 인구, 비율IND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
심각한 기상학적 가뭄 빈도IND.HAZ.drought.spei_drought_frequency |
HAZ | 가뭄 | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
연간 위험한 습열 일수IND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
연간 극한 산불 기상 일수IND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | 산불 | hazard | d/a |
COUNTRY, ADM1, GRID | |
연간 산불 피해 면적, 육지 면적 대비 비율IND.HAZ.wildfire.burned_area.share |
HAZ | 산불 | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
PM2.5 노출, 인구 가중 평균IND.ENV.air.pm25_exposure |
ENV | 대기질 | hazard | ug/m3 |
COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
WHO PM2.5 지침 초과 노출 인구, 비율IND.ENV.air.pm25_guideline_exceedance.share |
ENV | 대기질 | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
계절별 최고 오존 노출IND.ENV.air.ozone_exposure |
ENV | 대기질 | hazard | [ppb] |
COUNTRY, ADM1, CITY, GRID | |
육지 면적IND.ENV.land.land_area |
ENV | Land and forests | context | km2 |
COUNTRY, ADM1, ADM2, CITY | WB_WDI AG.LND.TOTL.K2 |
산림 면적, 육지 면적 대비 비율IND.ENV.land.forest_cover.share |
ENV | Land and forests | vulnerability | % |
COUNTRY, ADM1 | SDG 15.1.1 WB_WDI AG.LND.FRST.ZS |
연간 수목 피복 손실률IND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
황폐화된 토지, 육지 면적 대비 비율IND.ENV.land.land_degradation.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, GRID | SDG 15.3.1 |
도로 밀도IND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
적색 목록 지수IND.ENV.biodiversity.red_list_index |
ENV | 생물다양성 | vulnerability | 1 |
GLOBAL, REGION, COUNTRY | SDG 15.5.1 |
생물다양성 온전성 지수IND.ENV.biodiversity.biodiversity_intactness |
ENV | 생물다양성 | vulnerability | 1 |
COUNTRY, ADM1, GRID | |
육상 보호구역, 육지 면적 대비 비율IND.ENV.biodiversity.terrestrial_protected.share |
ENV | 생물다양성 | response | % |
COUNTRY, ADM1 | WB_WDI ER.LND.PTLD.ZS |
보호구역에 포함된 핵심 생물다양성 지역IND.ENV.biodiversity.key_biodiversity_area_protected.share |
ENV | 생물다양성 | response | % |
COUNTRY, REGION | SDG 15.1.2 |
해양 보호구역, 영해 대비 비율IND.ENV.ocean.marine_protected.share |
ENV | Ocean | response | % |
COUNTRY | WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1 |
연안 부영양화 지수IND.ENV.ocean.coastal_eutrophication |
ENV | Ocean | hazard | % |
COUNTRY, REGION | SDG 14.1.1 |
평균 해양 산성도(pH)IND.ENV.ocean.ocean_acidity |
ENV | Ocean | hazard | [pH] |
COUNTRY, REGION, SITE | SDG 14.3.1 |
생물학적으로 지속 가능한 수준의 어족 자원IND.ENV.ocean.sustainable_fish_stocks.share |
ENV | Ocean | vulnerability | % |
GLOBAL, REGION, COUNTRY | SDG 14.4.1 |
연간 해양 폭염 일수IND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
1인당 생활폐기물 발생량IND.ENV.pollution.msw_generation.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, CITY | |
관리 시설에서 처리된 생활폐기물IND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
1인당 부적절하게 관리된 플라스틱 폐기물IND.ENV.pollution.mismanaged_plastic_waste.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, ADM1 | |
자연 의존도가 높은 부문의 GDP, 비율IND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
동물 수분에 의존하는 작물 생산액, 비율IND.ENV.nature_dependence.pollinator_dependent_crops.share |
ENV | Nature dependence | exposure | % |
COUNTRY, ADM1 | |
주변 수질이 양호한 수역IND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
안전하게 처리된 폐수IND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
외부 재생 가능 수자원 의존 비율IND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
운영 협력이 이루어지는 초국경 유역 면적IND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
말라리아 발생률IND.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 |
농림어업 부가가치, GDP 대비 비율IND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
농업 고용, 총고용 대비 비율IND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
곡물 수확량 변동성(15년)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
경작지, 육지 면적 대비 비율IND.FOO.agriculture.cropland.share |
FOO | Agricultural production and dependence | exposure | % |
COUNTRY, ADM1, ADM2, GRID | WB_WDI AG.LND.ARBL.ZS |
경작지 식생 건강 지수IND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
국회 내 여성 의석 비율IND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
발언권과 책임성(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 |
정치적 안정성과 폭력 부재(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 |
정부 효과성(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 |
부패 통제(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 |
부패인식지수(Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
언론 자유 점수(RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
법치(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 |
재산권과 규칙 기반 거버넌스(CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
미결 구금자, 수감 인구 대비 비율IND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
기업 대상 뇌물 발생률IND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
규제 품질(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 종합 등급(IDA 자원 배분 지수)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA 공공부문 관리 및 제도IND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA 공공부문의 투명성, 책임성 및 부패IND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
세입 동원 효율성(CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
승인 예산 대비 예산 집행 편차IND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
통계 성과 지표 종합 점수IND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
출생 등록 완전성IND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
마지막 인구 센서스 이후 경과 연수IND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
기업 환경 점수(B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
최종 에너지 소비 중 재생에너지 비중IND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
GDP 1차 에너지 집약도IND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
발전량 중 화석연료 비중IND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
1인당 재생에너지 설비 용량IND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
난방 및 냉방 도일IND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
핵심 광물 수입 공급처 집중도IND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
ITU GCI 법적 조치 기둥IND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
ITU GCI 조직적 조치 기둥IND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
개인정보 보호 법률 시행 여부IND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
전자정부 발전도IND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
국내 총 R&D 지출, GDP 대비 비율IND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
주민 100만 명당 연구원 수IND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
첨단기술 수출, 제조업 수출 대비 비율IND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
반도체 수입 공급처 집중도IND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
클라우드 인프라 제공자 집중도IND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
외국 또는 단일 제공자가 통제하는 AI 컴퓨팅 역량IND.TEC.ai.ai_compute_foreign_control |
TEC | 인공지능 | vulnerability | % |
COUNTRY | |
파운데이션 모델 제공자 집중도IND.TEC.ai.foundation_model_concentration |
TEC | 인공지능 | vulnerability | % |
COUNTRY | |
고위험 밀폐 실험실의 생물안전 및 생물보안 감독IND.TEC.bio.biosecurity_lab_oversight |
TEC | 생명공학 | coping capacity | {score} |
COUNTRY | |
센다이 프레임워크에 부합하는 국가 DRR 전략IND.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 |
국가 전략에 부합하는 DRR 전략을 갖춘 지방정부IND.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 |
05재해
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
FIG 4 · Hazard families this series reads
| 계열 | 영역 | 재해 | Count |
|---|---|---|---|
| Planetary boundary transgressions | 행성 한계와 지구 시스템 티핑 | 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 | 행성 한계와 지구 시스템 티핑 | 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 | 행성 한계와 지구 시스템 티핑 | 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 | 행성 한계와 지구 시스템 티핑 | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | 행성 한계와 지구 시스템 티핑 | 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 | 행성 한계와 지구 시스템 티핑 | 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 | 행성 한계와 지구 시스템 티핑 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 |
| 생명공학과 합성생물학 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| 기후 개입 기술 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | 첨단 및 기하급수적 기술 | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | 첨단 및 기하급수적 기술 | 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 | 첨단 및 기하급수적 기술 | Smart-contract and oracle exploit | 1 |
06경로
How this risk can move to 2100
FIG 5 · Explorer: a pathway fan chart to 2100
–
브라우저에서 실행됨
07방법론
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.
24 methods
기후, 자연, 생물다양성
Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …
17 methods
정책, 규제, 거버넌스
Scenario Counterfactual · Regulatory Change Risk · Policy Uncertainty · Policy Effectiveness · Implementation Gap · Regulatory Exposure · Compliance Obligation Mapping …
08Users
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.
09보고서
Nexus Reports
- Edition code
XT-18- Edition status
- 계획
- 주제
- Set by Nexus Reports at commissioning
10인용
인용과 재사용
GCRI Canada (2026). The Global Risks Index (NXS-GRX): Climate intervention technologies series (GRX-SER-XT-18), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-18/ UNI NXS-GRX-AR-000105.
- 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
상태
Global Risks Index의 방법론, 구조, 정의는 검토와 의견 수렴을 위해 배포된 예비 작업 초안(2026)이며 이행용이 아닙니다. 관리되는 근거 마감에 따라 판이 공개되기 전까지는 어떠한 값도 표시되지 않으며, 공개 후 값에는 구간, 등급, 출처, 정정 경로가 함께 표시됩니다. 시뮬레이터는 귀하가 선택한 숫자에 공개된 방법을 적용할 뿐이며 NXS-GRX 값을 표시하지 않습니다.
NXS-GRX가 아닌 것
NXS-GRX는 연구 및 리스크 분석 정보입니다. 신용등급이나 ESG 등급이 아니며 등급 척도를 사용하지 않고, 금융상품의 벤치마크도, 공식 통계도, 긴급 경보나 공식 분류도, 자문도 아닙니다. 자연인 평가에 사용해서는 안 됩니다. 리스크 등급은 공개된 척도 위의 구간이며, 국가나 사람의 순위가 결코 아닙니다.
기관과 출처
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.
모든 값에는 출처 표시가 함께 제공되며, 각 출처는 고유한 라이선스를 유지합니다. 외부 명칭은 상호운용성을 위해서만 인용됩니다. Nexus가 작성한 텍스트는 공개 시 CC BY 4.0 적용을 예정합니다.
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.