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APAC Energy Security: Conflict Spillover Dataset Modeling

Explore a synthetic dataset documenting Middle-East conflict effects on Asia-Pacific energy security, shipping disruptions, and supply chain stress.

#energy-security#supply-chain-analysis#data-modeling#maritime-logistics#economic-simulation#asia-pacific#synthetic-dataset
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Dataset Documentation
CONFLICT
SPILLOVER:
APAC ENERGY & SUPPLY CHAIN STRESS DATASET
Synthetic Modelling of Middle-East Armed Conflict Cascading Effects on Asia-Pacific Energy Security.
20 APAC Countries
10 Shipping Routes
6 Fuel Types
8 Economic Sectors
18 Months
Synthetic Dataset | Sources inspired by IEA, EIA, OPEC, BP Statistical Review, World Bank, IMF, UNCTAD, Lloyd's List | Designed for EDA, Time-Series & Policy Modelling
RADAR-LINK-ACTIVE
Made byBobr AI
DATASET
OVERVIEW
Six interlinked CSV files capture the cascading economic and logistical effects of a simulated Middle-East armed conflict on Asia-Pacific energy systems over 18 months of conflict phases.
MODULE 1
Fuel Import Dependency
20 countries × 6 fuel types
MODULE 2
Shipping Route Disruptions
10 routes × 18 months
MODULE 3
Energy Price Volatility
Daily benchmarks, 6 fuel types
MODULE 4
Supply Chain Stress Index
8 sectors × 20 countries
MODULE 5
Maritime Insurance & Freight Rates
Weekly, 10 routes
MODULE 6
Government Strategic Responses
Policy measures, 20 countries
20 Countries | 10 Routes | 6 Fuel Types | 8 Sectors | 18 Months | ~500K+ Synthetic Records
Made byBobr AI
MODULE-01-ACTIVE
01
MODULE 1
FUEL IMPORT
DEPENDENCY
Tracks each APAC country's reliance on imported fuel by type and source origin. Captures pre-conflict baselines, conflict-phase shifts, and alternative sourcing patterns.
country_code
fuel_type
import_source_region
dependency_ratio
conflict_phase
baseline_delta_pct
Fuel Types Covered:
Crude Oil
LNG
Coal
Diesel
Jet Fuel
Naphtha
Countries: 20 APAC nations including China, Japan, South Korea, India, Australia, Singapore, Taiwan + more
Import Dependency Index by Fuel Type (Conflict Phase vs Baseline)
Baseline Ratio
Conflict Phase Shift
Crude Oil
LNG
Coal
Diesel
Jet Fuel
Naphtha
0% 25% 50% 75% 100%
+25%
+22%
+10%
+30%
+15%
+18%
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02
MODULE 2
Shipping Route Disruptions
Event-level log of maritime disruption incidents across 10 critical APAC-Middle East shipping corridors — capturing severity, duration, cargo type affected, and rerouting cost premiums.
Red Sea / Suez
Strait of Hormuz
Indian Ocean Trunk
Malacca Strait
South China Sea
Data Schema Configuration
▼ route_id
▼ disruption_date
▼ disruption_type
● severity_score (1-10)
● duration_days
▼ cargo_affected
● reroute_premium_pct
Captures real-time severity levels, transit delay durations, container/bulk affected, and resulting cost markups.
10
Routes Monitored
Blockade / Strike / Piracy / Weather / Sanctions
Disruption Types
18-Month
Conflict Timeline
Made byBobr AI
03
MODULE 3
ENERGY PRICE
VOLATILITY
Daily benchmark prices for 6 fuel types across 18 months, segmented by conflict phase (Pre-Conflict / Escalation / Peak / De-escalation). Captures price spikes, volatility clustering, and mean-reversion patterns ideal for time-series modelling.
- date, fuel_type, benchmark_price_usd,
  conflict_phase, 7d_volatility, 30d_rolling_avg,
  pct_change_from_baseline
Pre-Conflict
⟶
Escalation
⟶
Peak Conflict
⟶
De-escalation
Use Cases: ARIMA / GARCH modelling · Regime detection · Volatility clustering · Correlation analysis
PRICE (USD)
MONTH 1–18
CRUDE OIL
LNG
COAL
PEAK CONFLICT
RADAR-VOLATILITY-03
Made byBobr AI
04
SUPPLY CHAIN
STRESS INDEX
Monthly stress scores (0–100) across 8 economic sectors for all 20 APAC countries, quantifying upstream disruption propagation from energy shortages and freight bottlenecks.
▶ Sector × Country Stress Heatmap — Peak Conflict Phase
China
Japan
S. Korea
India
Australia
Singapore
Manufacturing
88
74
80
65
45
50
Petrochemicals
92
85
88
70
40
60
Agriculture
40
35
30
65
20
25
Electronics
85
90
95
55
30
75
Steel & Metals
80
65
70
75
45
35
Automotive
75
85
80
60
25
30
Textiles
60
40
45
75
20
25
Food Processing
50
45
40
60
35
30
METRIC COMPOSITION
Stress Index is quantified per sector via composite statistical modeling of:
Input Cost Surges Tracker
Transit Delays (TEU Diff)
Depletion of Inventory
Demand Side Volatility
SEVERITY SCALE
Critical State 70 — 100
Moderate Stress 40 — 70
Manageable 0 — 40
SCHEMA TARGET FIELDS
country_code
sector
month
stress_index_0_100
conflict_phase
energy_price_sensitivity
freight_exposure_score
RADAR-LINK-ACTIVE
Made byBobr AI
05
MODULE
MARITIME INSURANCE
& FREIGHT RATES
Weekly war-risk insurance premiums and freight rate indices for 10 shipping routes over 18 months. Captures cost escalation during conflict escalation, peak disruption, and gradual normalization.
Schema Fields
> week, route_id
> freight_rate_usd_per_teu, war_risk_premium_pct
> route_status (Active/Diverted/Closed)
> vessel_count, avg_voyage_days
Route Status Categories:
ACTIVE
DIVERTED
CLOSED
ANALYTICAL USES // Freight Rate Forecasting · Insurance Premium Modelling · Route Optimization · Lagged Correlation with Energy Prices
INSURANCE_PREMIUM_vs_FREIGHT_RATES.dat
X-AXIS: WEEKS 1-78
LIVE_METRICS
CONFLICT_PHASE_DETECTED
Made byBobr AI
06
MODULE OVERVIEW
GOVERNMENT STRATEGIC RESPONSES
Tracks policy interventions adopted by 20 APAC governments across 18 months — from strategic reserve releases and fuel subsidies to import diversification mandates and emergency LNG contracts.
Status Indication
Active
Review
Inactive
Adoption Intensity
None
Limited
Moderate
Widespread
Policy Category PRE-CONFLICT ESCALATION PEAK DE-ESCAL
Strategic Reserve Release
Emergency LNG Contracts
Fuel Subsidy Expansion
Import Source Diversification
Demand Rationing
Refinery Capacity Boost
Bilateral Energy Agreements
Carbon/Fuel Tax Suspension
Key Insight: Most common response: Strategic Reserve Release (adopted by 17/20 countries during Peak Conflict phase)
RADAR-LINK-ACTIVE
DATABASE SCHEMA: POLICY_INTERVENTIONS_V2
JSON / READ-ONLY
{
"country_code": "string",
// ISO 3166-1 alpha-3
"policy_type": "string",
"activation_date": "date",
"conflict_phase": "enum",
// Pre, Esc, Peak, De-esc
"intensity_score": "int",
// 0-3 scale
"estimated_cost_usd_bn": "float",
"duration_weeks": "int",
"effectiveness_rating": "float"
// 0.0-1.0
}
Made byBobr AI
RADAR-LINK-ACTIVE
ANALYTICAL USE CASES
EXPLORATORY DATA ANALYSIS
Cross-module correlation
Dependency ratio profiling
Sector vulnerability ranking
TIME-SERIES MODELLING
ARIMA/GARCH for price volatility
LSTM for freight rate forecasting
Regime change detection
GEOSPATIAL MAPPING
Route disruption choropleth
Import dependency map by country
Shipping lane stress overlays
POLICY IMPACT MODELLING
DiD analysis of strategic responses
Cost-effectiveness scoring
Scenario simulation
NETWORK ANALYSIS
Supply chain interdependency graphs
Shock propagation modelling
Sector linkage matrices
STRESS TESTING
Scenario-based energy shock simulation
Monte Carlo for freight rates
Country resilience scoring
[DATA GENERATION METHODOLOGY] All values synthetic, statistically calibrated against: IEA World Energy Outlook · EIA Short-Term Outlook · OPEC Monthly Reports · BP Statistical Review · World Bank Commodity Markets · Lloyd's List War Risk · IMF World Economic Outlook
Made byBobr AI
System Architecture
DATA SCHEMA & INTERLINKAGE
fuel_type
country_code
route_id
country_code
SHARED KEY
conflict_phase
fuel_import_dependency.csv
JOIN country_code, fuel_type, conflict_phase
shipping_disruptions.csv
JOIN route_id, date, conflict_phase
energy_price_volatility.csv
JOIN fuel_type, date, conflict_phase
maritime_insurance_freight.csv
JOIN route_id, week, conflict_phase
supply_chain_stress.csv
JOIN country_code, sector, month, conflict_phase
government_responses.csv
JOIN country_code, policy_type, conflict_phase
Primary Join Keys
country_code · route_id · fuel_type · conflict_phase · date/week/month
Recommended Technology Stack
Python (pandas, geopandas) · R (tidyverse) · SQL · Spark for large joins
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APAC Energy Security: Conflict Spillover Dataset Modeling

Explore a synthetic dataset documenting Middle-East conflict effects on Asia-Pacific energy security, shipping disruptions, and supply chain stress.

Dataset Documentation

CONFLICT

SPILLOVER:

APAC ENERGY & SUPPLY CHAIN STRESS DATASET

Synthetic Modelling of Middle-East Armed Conflict Cascading Effects on Asia-Pacific Energy Security.

20 APAC Countries

10 Shipping Routes

6 Fuel Types

8 Economic Sectors

18 Months

Synthetic Dataset | Sources inspired by IEA, EIA, OPEC, BP Statistical Review, World Bank, IMF, UNCTAD, Lloyd's List | Designed for EDA, Time-Series & Policy Modelling

DATASET

OVERVIEW

Six interlinked CSV files capture the cascading economic and logistical effects of a simulated Middle-East armed conflict on Asia-Pacific energy systems over 18 months of conflict phases.

MODULE 1

Fuel Import Dependency

20 countries × 6 fuel types

MODULE 2

Shipping Route Disruptions

10 routes × 18 months

MODULE 3

Energy Price Volatility

Daily benchmarks, 6 fuel types

MODULE 4

Supply Chain Stress Index

8 sectors × 20 countries

MODULE 5

Maritime Insurance & Freight Rates

Weekly, 10 routes

MODULE 6

Government Strategic Responses

Policy measures, 20 countries

20 Countries

10 Routes

6 Fuel Types

8 Sectors

18 Months

~500K+ Synthetic Records

01

MODULE 1

FUEL IMPORT

DEPENDENCY

Tracks each APAC country's reliance on imported fuel by type and source origin. Captures pre-conflict baselines, conflict-phase shifts, and alternative sourcing patterns.

country_code

fuel_type

import_source_region

dependency_ratio

conflict_phase

baseline_delta_pct

Crude Oil

LNG

Coal

Diesel

Jet Fuel

Naphtha

Countries: 20 APAC nations including China, Japan, South Korea, India, Australia, Singapore, Taiwan + more

Import Dependency Index by Fuel Type (Conflict Phase vs Baseline)

MODULE 2

Shipping Route Disruptions

Event-level log of maritime disruption incidents across 10 critical APAC-Middle East shipping corridors — capturing severity, duration, cargo type affected, and rerouting cost premiums.

Red Sea / Suez

Strait of Hormuz

Indian Ocean Trunk

Malacca Strait

South China Sea

10

Routes Monitored

Blockade / Strike / Piracy / Weather / Sanctions

Disruption Types

18-Month

Conflict Timeline

03

MODULE 3

ENERGY PRICE

VOLATILITY

Daily benchmark prices for 6 fuel types across 18 months, segmented by conflict phase (Pre-Conflict / Escalation / Peak / De-escalation). Captures price spikes, volatility clustering, and mean-reversion patterns ideal for time-series modelling.

ARIMA / GARCH modelling · Regime detection · Volatility clustering · Correlation analysis

04

SUPPLY CHAIN

STRESS INDEX

Monthly stress scores (0–100) across 8 economic sectors for all 20 APAC countries, quantifying upstream disruption propagation from energy shortages and freight bottlenecks.

Sector × Country Stress Heatmap — Peak Conflict Phase

05

MARITIME INSURANCE

& FREIGHT RATES

Weekly war-risk insurance premiums and freight rate indices for 10 shipping routes over 18 months. Captures cost escalation during conflict escalation, peak disruption, and gradual normalization.

ACTIVE

DIVERTED

CLOSED

Freight Rate Forecasting · Insurance Premium Modelling · Route Optimization · Lagged Correlation with Energy Prices

06

MODULE OVERVIEW

GOVERNMENT STRATEGIC RESPONSES

Tracks policy interventions adopted by 20 APAC governments across 18 months — from strategic reserve releases and fuel subsidies to import diversification mandates and emergency LNG contracts.

Most common response: Strategic Reserve Release (adopted by 17/20 countries during Peak Conflict phase)

ANALYTICAL USE CASES

EXPLORATORY DATA ANALYSIS

Cross-module correlation

Dependency ratio profiling

Sector vulnerability ranking

TIME-SERIES MODELLING

ARIMA/GARCH for price volatility

LSTM for freight rate forecasting

Regime change detection

GEOSPATIAL MAPPING

Route disruption choropleth

Import dependency map by country

Shipping lane stress overlays

POLICY IMPACT MODELLING

DiD analysis of strategic responses

Cost-effectiveness scoring

Scenario simulation

NETWORK ANALYSIS

Supply chain interdependency graphs

Shock propagation modelling

Sector linkage matrices

STRESS TESTING

Scenario-based energy shock simulation

Monte Carlo for freight rates

Country resilience scoring

All values synthetic, statistically calibrated against: IEA World Energy Outlook · EIA Short-Term Outlook · OPEC Monthly Reports · BP Statistical Review · World Bank Commodity Markets · Lloyd's List War Risk · IMF World Economic Outlook

System Architecture

DATA SCHEMA

INTERLINKAGE

fuel_import_dependency.csv

country_code, fuel_type, conflict_phase

shipping_disruptions.csv

route_id, date, conflict_phase

energy_price_volatility.csv

fuel_type, date, conflict_phase

supply_chain_stress.csv

country_code, sector, month, conflict_phase

maritime_insurance_freight.csv

route_id, week, conflict_phase

government_responses.csv

country_code, policy_type, conflict_phase

Primary Join Keys

Recommended Technology Stack

  • energy-security
  • supply-chain-analysis
  • data-modeling
  • maritime-logistics
  • economic-simulation
  • asia-pacific
  • synthetic-dataset