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NGFS Data & Metrics → 한국 금융기관 기후 데이터 인프라 → 한국은행 / 금융감독원 / 금융위원회

한국은행 / 금융감독원 / 금융위원회

BProbable echo
Evidence tier

Echo patterns are similarity-based hypotheses, not proof of causation. Open the sources and evaluate the linkage yourself.

Evidence Scorecard

A single score cannot prove an echo. This card triangulates semantic, temporal, and linkage evidence.

Probable echo
Semantic
Strong semantic alignment
Temporal
Global precedent precedes Korea
Linkage
Official Korean agency source + concept alignment (no explicit citation recorded)
Tier B — Probable echo — agency/committee linkage + global-first timing + semantic signal
Multilingual semantic similarity
cosine similarity (method detail)0.819

Computed with intfloat/multilingual-e5-small multilingual embeddings. Display score is a calibrated mapping of the raw cross-lingual cosine (0.819); higher means closer meaning. Reflects semantic similarity, not proof of causation.

Could also be…

  • •Parallel domestic policy development is possible.
  • •Industry or market pressure may have driven similar language.
  • •A common external shock (e.g., financial crisis, pandemic) could explain parallel adoption.

Interrogate the Evidence

Answers are rendered directly from this record’s own curated fields — nothing is generated.

Bprobable echo · 78%

  • SemanticStrong semantic alignment
  • TemporalGlobal precedent precedes Korea
  • LinkageOfficial Korean agency source + concept alignment (no explicit citation recorded)

Matched concepts: climate data gaps ↔ 기후 데이터 격차; common methodologies ↔ 공통 방법론; climate-related disclosures ↔ 기후 관련 공시

Cross-lingual similarity 55/100 (multilingual e5 embedding) — a computed signal, not proof.

Similarity type: NGFS Data & Metrics → 한국 금융기관 기후 데이터 인프라 | climate data gaps → 기후 데이터 격차

Matched Concepts

3 pairs
climate data gaps
↓
기후 데이터 격차
common methodologies
↓
공통 방법론
climate-related disclosures
↓
기후 관련 공시
Original (Global)

NGFS bridges climate data gaps① and develops common risk assessment methodologies.

Echo (Korea)

한국 금융당국은 NGFS 데이터 작업에 참여하여 기후 데이터 인프라를 구축한다.

Echo Strength

sourceVerified
hasKoreanSource
hasGlobalSource
hasDate
keywordDiversity
agendaTags

Influence Mechanism

policy learning
Origin
NGFS (Network for Greening the Financial System)
Timeline

2020–2024

NGFS Data & Metrics → 한국 금융기관 기후 데이터 인프라 | climate data gaps → 기후 데이터 격차

Sources

🌍Global source
🇰🇷기후위기 대응을 위한 탄소중립·녹색성장 기본법 (법제처)

Related Patterns

NGFS Nature-Related Financial Risks → 한국 금융기관 자연자본 리스크

NGFS
P(B|A) = 77%temporal
45%

NGFS Supervision Guidance → 한국 금융감독원 기후감독 강화

NGFS
P(B|A) = 77%temporal
43%

NGFS Net Zero for Central Banks → 한국은행 기후행동계획

NGFS
P(B|A) = 72%temporal
43%

NGFS climate scenarios → 한국은행 기후스트레스테스트

NGFS
P(B|A) = 70%temporal
40%

Climate Stress Testing (NGFS / Central Bank)

NGFS
P(B|A) = 37%agenda
24%

Central Bank Climate Risk Integration (NGFS)

NGFS
P(B|A) = 62%temporal
23%

FSB/NGFS Climate Stress Testing → 금융위·금감원 기후 스트레스테스트 가이드라인 (FSC/FSS Climate Stress Test Guidance)

NGFS
P(B|A) = 31%agenda
16%

Semantically Related

Closest patterns by multilingual embedding (e5) — conceptual similarity beyond shared keywords. A computed signal, not a sourced claim.

Central Bank Climate Risk Integration (NGFS)

ESG & Disclosure

cos 0.93

NGFS Net Zero for Central Banks → 한국은행 기후행동계획

ESG & Disclosure

cos 0.91

Climate Stress Testing (NGFS / Central Bank)

Climate

cos 0.91

NGFS Supervision Guidance → 한국 금융감독원 기후감독 강화

ESG & Disclosure

cos 0.91

NGFS Nature-Related Financial Risks → 한국 금융기관 자연자본 리스크

ESG & Disclosure

cos 0.91

NGFS climate scenarios → 한국은행 기후스트레스테스트

ESG & Disclosure

cos 0.90
Keywords
NGFSclimate data기후데이터data gaps데이터격차한국은행금융감독원탄소배출량ESG 공시정량지표risk assessment리스크평가methodology방법론
Score Guide
Confidence — Editorial judgment, now shown as a confidence tier (A–D) based on semantic, temporal, and linkage evidence. Not proof of causation.
Echo Strength — Metadata completeness score. Rewards verified sources, paired links, explicit dates, keyword diversity, and origin tags.
Vocabulary Overlap — Heuristic score measuring shared tokens between global and Korean texts. Reflects loanwords and repeated terms, not meaning across languages.
PATTERN #ngfs-data-2