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Economy as a Code (EaaC)

An open source methodology for measuring ESG impact indicators of companies using open data.

What is EaaC?

Economy as a Code is a technical approach to measuring the economic, social, fiscal, and carbon impact of companies across territories. It relies on certified open data sources, making results reproducible, auditable, and transparent.

Book: Economy as a Code: A technical approach to ESG indicators Website: economy-as-a-code.com Author: Tristan Méneret Official implementation partner: IN France (Société.com Group)

The 4 indicators

Indicator Abbr. What it measures Unit
Economic Impact IE Revenue contribution to territories EUR
Social Impact IS Jobs generated across territories ETP
Fiscal Impact IF Tax contribution to territories EUR
Carbon Impact IC CO2e footprint of economic activity tCO2e

Results are presented as macro totals and broken down by country with percentages.

Installation

pip install eaac

Quick start

French company (automatic via SIRENE)

from eaac import EaaCEngine

engine = EaaCEngine()
impact = engine.compute(siren="443061841")

print(impact.summary())

Data is fetched automatically from open sources (INSEE SIRENE, ADEME).

International company (manual data)

impact = engine.compute(
    company_data={
        "name": "Acme Corp",
        "country": "DE",
        "revenue": 5_000_000,
        "employees": 45,
        "taxes": 120_000,
        "nace_code": "6201",
        "establishments": [
            {"country": "DE", "revenue": 4_000_000, "employees": 38},
            {"country": "FR", "revenue": 800_000, "employees": 5},
            {"country": "PL", "revenue": 200_000, "employees": 2},
        ],
    }
)

With supplier data (precise indirect effects)

impact = engine.compute(siren="443061841", suppliers="suppliers.csv")

Suppliers CSV format:

supplier_siren,country,amount,revenue,employees,name
123456789,FR,150000,0,0,French Supplier
,ES,22000,500000,12,Spanish Supplier
,GB,627,800000,5,UK Supplier
  • French suppliers: provide supplier_siren, data is fetched automatically
  • International suppliers: provide country, amount, revenue, employees

Output format

Macro totals

940k EUR    7.4 ETP    55k EUR    6.6 tCO2e

Country breakdown

Country              Economic        Social         Fiscal         Carbon
France               916k EUR (97%)  7.1 ETP (96%)  54k EUR        5.8 tCO2e (88%)
Spain                 22k EUR  (2%)  0.3 ETP  (4%)  316 EUR        0.8 tCO2e (12%)
Estonia               676 EUR  (0%)  0.0 ETP  (0%)  6.9 EUR        0.0 tCO2e  (0%)
...

CLI

# French company
eaac compute --siren 443061841

# With suppliers
eaac compute --siren 443061841 --suppliers suppliers.csv

# International company
eaac compute --data company.json --suppliers suppliers.csv

# Export
eaac compute --siren 443061841 --format json --output report.json
eaac compute --siren 443061841 --format csv --output report.csv

Data sources

Source Data Scope
API SIRENE (INSEE) Company data (revenue, employees, NAF) France (automatic)
Base Empreinte (ADEME) GHG emission factors by sector France / EU
INSEE TES Input-Output Table (sector purchase ratios) France
Manual input Company data for non-French entities International

Project structure

economy-as-a-code/
├── src/eaac/
│   ├── engine.py              # Main engine (ImpactResult, EaaCEngine)
│   ├── cli.py                 # Command-line interface
│   ├── indicators/
│   │   ├── economic.py        # IE (Economic Impact)
│   │   ├── social.py          # IS (Social Impact)
│   │   ├── fiscal.py          # IF (Fiscal Impact)
│   │   └── carbon.py          # IC (Carbon Impact)
│   └── connectors/
│       ├── sirene.py          # INSEE SIRENE API (French companies)
│       ├── insee_tes.py       # Input-Output Table (sector ratios)
│       ├── ademe.py           # ADEME emission factors
│       └── international.py   # Country names and international utilities
├── docs/methodology/          # Methodology documentation
├── examples/                  # Usage examples
└── tests/                     # Test suite

Contributing

Contributions are welcome. Please open an issue first to discuss what you would like to change.

License

MIT

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Open source methodology for measuring ESG impact indicators (economic, social, fiscal, carbon) using open data

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