Prototype only. Prototype only. Outputs are indicative and do not constitute legal or compliance advice.
Methodology & Context

About This Tool

What this tool is, how it was built, what it does not do, and the data and methodology behind every output.

What This Tool Is

This is a prototype demonstration tool built to show what a client-facing CCTS compliance and policy intelligence platform could look like for the firms advising India's industrial sector on carbon market obligations. It was built independently to demonstrate the depth of research behind India's emerging carbon market and to illustrate the kind of analytical product that an advisory team could deploy with covered entities ahead of the mid-2026 CCTS full trading launch.

Framing: This is a candidate-built prototype. It is not affiliated with, authorised by, or an official product of any firm. All references to regulatory bodies, government notifications, and industry benchmarks are based on publicly available sources cited below.

What It Does

✓ CCTS Compliance Calculator

Takes a company's sector, annual production, and emission intensity (or uses the sector average if unknown) and calculates: compliance status (over/under/at threshold), CCC surplus or deficit in tonnes CO₂e, financial exposure at three CCTS price scenarios (₹150, ₹250, ₹600/tCO₂e), sector peer benchmark, and advisory actions mapped to each result.

✓ Policy Intelligence Tracker

Structured, searchable, filterable database of 30+ India climate and environmental policies from 1972 to 2035 — historical foundations, the 2022–2024 legislative reform wave, active programs, and forthcoming commitments. Tagged by category, sector, status, and advisory opportunity.

Explicit Scope Boundaries

CCTS Calculator Methodology

The calculation engine is implemented in Python (calculator.py) with 45 unit tests, and mirrored in JavaScript for the frontend (data/calculator-data.js). The Python module serves as the source of truth and will also power the Phase 2 Jupyter notebook analysis.

Live tool: carbonintel.snehatatiwala.com  ·  Source code: github.com/sneha-tatiwala/deloitte-carbon-tool. The repository includes calculator.py, test_calculator.py, and all data layer files.
Step 1 — CCTS Target Intensity
ccts_target = sector_baseline × (1 − reduction_target_pct)
Where sector_baseline is the Indian industry average emission intensity for FY2023–24, and reduction_target_pct is the midpoint of BEE's published reduction range for that sector.
Step 2 — CCC Surplus or Deficit
ccc_delta = (actual_intensity − ccts_target) × annual_production
Positive = deficit (must buy CCCs). Negative = surplus (can sell CCCs). Units: tonnes CO₂e.
Step 3 — Financial Exposure
exposure_inr = ccc_delta × price_inr
Calculated at three price scenarios: ₹150 (floor), ₹250 (expected average), ₹600 (ceiling) per tCO₂e. Converted to USD at ₹84.5/USD — verify before financial decisions. All financial outputs are indicative only.
Step 4 — Peer Benchmark Percentile
Linear interpolation across four reference points: worst performer (assumed 40% above sector average), sector average (50th percentile), top quartile threshold (75th percentile), best-in-class (assumed 20% below top quartile). Gives an estimated sector percentile for the user's intensity. Methodology note included in every output.

Sector Benchmark Data Sources

Sector Target Notified? Baseline Source

* Sectors marked "Proxy" use a reduction range of 3.0%–6.0% consistent with the three officially notified sectors. BEE had not published individual targets for these sectors as of April 2026.

What a Production Version Would Add

A production version would extend this prototype in three directions:

  1. Live data pipeline: Scheduled scraping of PIB, MoEFCC, BEE, and MNRE notifications to keep the policy tracker current. BRSR PDF extraction to populate company-level emission data for the top 1,000 listed companies.
  2. Company assessment engine: A decision-tree module (built in Python) that takes company name, sector, size, and listed status and outputs a full regulatory obligation checklist — CCTS coverage, BRSR tier, CAFE III applicability, NCAP exposure, TNFD biodiversity relevance — with advisory service recommendations mapped to each gap.
  3. Lead intelligence dashboard: A gated internal view showing CCTS-covered companies ranked by estimated compliance gap — identifying the largest potential buyers of MRV verification, decarbonisation roadmap, and CCC procurement advisory services.

Primary Data Sources

Disclaimer: This tool is a prototype demonstration built for portfolio and research purposes. It is not affiliated with or authorised by any advisory firm. All outputs are indicative only and do not constitute legal, financial, regulatory, or compliance advice. Companies subject to CCTS obligations should consult a qualified professional for a verified compliance assessment. Emission intensity benchmarks are derived from published industry sources and represent sector averages — individual company baselines may differ materially.