Environmental Social and Governance, usually shortened to ESG, is a framework for evaluating how a company manages environmental issues, people-related issues, and governance quality alongside financial performance. In finance, ESG is used in investing, lending, corporate strategy, disclosure, and risk management, but it is often misunderstood as either a single score or a synonym for sustainability. This tutorial explains ESG from the ground up, then builds toward advanced use in reporting, analysis, regulation, and decision-making.

1. Term Overview

• Official Term: Environmental Social and Governance
• Common Synonyms: ESG; Environmental, Social, and Governance
• Alternate Spellings / Variants: Environmental-Social-and-Governance; ESG factors; ESG considerations
• Domain / Subdomain: Finance / ESG, Sustainability, and Climate Finance
• One-line definition: ESG refers to environmental, social, and governance factors used to assess a company’s risks, opportunities, behavior, and long-term resilience.
• Plain-English definition: ESG asks three broad questions: 1. How does the business affect the environment? 2. How does it treat people? 3. How well is it governed?
• Why this term matters:
  ESG matters because many important business risks do not show up clearly in short-term financial statements. Pollution, labor problems, weak boards, corruption, cyber failures, unsafe products, and poor climate planning can all damage earnings, reputation, financing access, and valuation.

2. Core Meaning

At its core, Environmental Social and Governance is a decision framework.

It helps users look beyond traditional financial numbers such as revenue, profit, debt, and margins. A company may look strong financially today but still carry major hidden risks, such as regulatory penalties, worker unrest, supply chain abuse, water scarcity, safety failures, or governance scandals.

What it is

ESG is a structured way to analyze non-traditional but economically important factors. It can be used to examine:

• risk exposure
• management quality
• operational resilience
• long-term value creation
• stakeholder impacts
• disclosure quality

Why it exists

Traditional financial analysis often captures outcomes after damage has already happened. ESG tries to identify drivers earlier.

Examples:

• A coal-heavy manufacturer may face future carbon costs.
• A company with weak labor controls may face strikes or boycotts.
• A company with poor governance may hide losses, manipulate disclosures, or misuse capital.

What problem it solves

ESG helps solve several practical problems:

• Information gaps: Financial statements alone may not show climate exposure or labor risk.
• Short-term bias: Managers and investors may ignore long-term risks.
• Comparability problems: ESG frameworks create more structured disclosure.
• Risk pricing issues: Lenders and investors need better inputs for credit spreads, cost of capital, and valuation assumptions.
• Accountability issues: Boards, regulators, and shareholders need better oversight tools.

Who uses it

ESG is used by:

• investors and asset managers
• banks and lenders
• insurers
• private equity firms
• boards and management teams
• auditors and assurance providers
• regulators and stock exchanges
• ESG rating agencies and data vendors
• procurement teams and large buyers
• researchers and policymakers

Where it appears in practice

You will see ESG in:

• annual reports and sustainability reports
• Business Responsibility and Sustainability Reporting
• climate disclosures
• proxy voting and shareholder resolutions
• loan agreements and bond frameworks
• stewardship reports
• fund fact sheets and mandate restrictions
• credit memos
• supply-chain audits
• ESG ratings and controversy screens

Important: ESG is not a guarantee of ethical perfection, positive impact, or superior returns. It is a framework for analysis and management.

3. Detailed Definition

Formal definition

Environmental Social and Governance refers to a set of environmental, social, and governance considerations used to evaluate an entity’s management quality, risk exposure, performance, and sustainability-related opportunities.

Technical definition

In technical finance and reporting practice, ESG is a multidimensional analytical framework that incorporates:

• environmental factors such as emissions, resource use, pollution, biodiversity, and climate risk
• social factors such as labor practices, health and safety, diversity, community relations, human rights, and customer welfare
• governance factors such as board structure, executive pay, controls, ethics, compliance, audit quality, and shareholder rights

These factors may affect enterprise value, cost of capital, earnings stability, legal exposure, and stakeholder outcomes.

Operational definition

Operationally, ESG means turning broad ideas into processes, metrics, controls, and decisions, such as:

• measuring greenhouse gas emissions
• tracking injury rates and employee turnover
• assessing supplier labor standards
• reviewing board independence
• linking financing terms to sustainability KPIs
• disclosing climate risks under reporting frameworks
• integrating ESG variables into credit and valuation models

Context-specific definitions

In investing

ESG means using non-financial factors to screen, compare, price, or monitor investments.

In corporate management

ESG means managing environmental, workforce, community, and governance issues as part of business strategy and risk control.

In banking and lending

ESG means assessing how sustainability-related factors may affect borrower default risk, collateral quality, reputation risk, and portfolio exposure.

In reporting and disclosure

ESG means communicating policies, metrics, targets, governance, and risk management related to sustainability topics.

In regulation

ESG may be defined differently depending on the jurisdiction: – some systems focus mainly on financial materiality for investors – others also include impact materiality, meaning how the company affects society and the environment

4. Etymology / Origin / Historical Background

Origin of the term

The phrase ESG became widely recognized in mainstream finance in the early 2000s, especially after global institutional initiatives began using it to connect sustainability topics with investment decision-making.

Historical development

Early roots: ethical and values-based investing

Before ESG became common, investors used exclusionary approaches such as avoiding:

• tobacco
• alcohol
• gambling
• weapons
• firms tied to apartheid or severe human-rights concerns

This was often called socially responsible investing rather than ESG.

Governance rises in importance

Corporate scandals, accounting failures, and shareholder-rights debates pushed governance into the spotlight. Investors realized that board quality, audit integrity, and executive incentives could strongly affect returns.

Environmental and social issues become financially visible

As climate risk, labor abuses, supply chain failures, and reputational crises became more material, investors and regulators started treating them as business issues, not just moral issues.

How usage has changed over time

Period	Typical Focus	How ESG Was Viewed
Pre-2000	Ethical exclusions	Values-based investing
Early 2000s	Governance + responsibility	Better corporate behavior
2010s	Risk/opportunity integration	Material long-term financial factors
2020s	Disclosure, regulation, climate transition, anti-greenwashing	Strategic, regulatory, and market-relevant framework

Important milestones

• 2004: ESG terminology gained mainstream visibility in institutional finance discussions.
• 2006: Principles for Responsible Investment accelerated investor adoption.
• 2010s: ESG ratings, materiality frameworks, and sector-based sustainability standards expanded.
• 2015 onward: Paris climate goals and stronger climate-risk awareness pushed ESG into core finance.
• Late 2010s to 2020s: TCFD-style disclosure, sustainable finance regulation, and anti-greenwashing rules strengthened.
• 2020s: ISSB standards, EU sustainability reporting rules, and India’s BRSR increased formalization.

Why the meaning broadened

Originally, ESG often meant “invest more responsibly.” Today it can mean all of the following:

• risk management
• reporting and disclosure
• investment integration
• product labeling
• stewardship
• supply-chain due diligence
• transition planning
• market integrity

5. Conceptual Breakdown

Environmental Social and Governance has three core pillars, but in practice it also depends on data quality, materiality, and time horizon.

Component	Meaning	Role	Interaction With Other Components	Practical Importance
Environmental	How the company uses natural resources and affects climate, pollution, waste, water, land, and biodiversity	Identifies physical risk, transition risk, regulatory cost, efficiency opportunities	Weak governance can undermine environmental targets; social conflict can arise from pollution or land use	Important for energy, manufacturing, transport, agriculture, utilities, finance portfolios
Social	How the company treats workers, customers, suppliers, and communities	Identifies labor, product, human-rights, safety, and reputation risks	Environmental harms often become social disputes; governance determines whether complaints are handled fairly	Important for supply chains, brand value, talent retention, customer trust
Governance	How the company is directed, controlled, and held accountable	Sets incentives, oversight, ethics, controls, and transparency	Governance is the “enabler” of E and S management; poor governance can nullify good policy promises	Important across every sector, especially where capital allocation and disclosure quality matter
Materiality	Which ESG issues matter most for a specific company or sector	Prevents box-ticking and prioritizes decision-relevant topics	Material issues vary by industry and geography	Essential for efficient analysis and reporting
Data and Controls	How ESG information is measured, checked, and reported	Improves reliability and comparability	Governance affects controls; weak data can hide environmental or social problems	Critical for assurance, compliance, and investor trust
Time Horizon	When ESG issues affect the firm: now, medium term, or long term	Helps avoid short-term blindness	Climate transition can be long-term; safety failures can be immediate	Important for valuation, strategy, and scenario analysis

Environmental

Common topics:

• greenhouse gas emissions
• energy use
• renewable energy
• water use and wastewater
• pollution and toxic releases
• waste and circularity
• biodiversity and land use
• climate adaptation and transition planning

Social

Common topics:

• wages and working conditions
• occupational health and safety
• diversity, equity, and inclusion
• training and retention
• human rights
• customer safety and privacy
• community impact
• supply chain labor standards

Governance

Common topics:

• board independence
• audit quality
• executive remuneration
• anti-corruption controls
• related-party transactions
• whistleblower systems
• shareholder rights
• risk oversight
• tax transparency and ethics

How the three interact

ESG should not be treated as three isolated silos.

Examples:

• A company may set ambitious climate targets, but weak governance may make those targets unreliable.
• A mining project may be environmentally permitted but still face social opposition.
• A company with good employee policies may still destroy value if capital allocation is poor.

6. Related Terms and Distinctions

Related Term	Relationship to Main Term	Key Difference	Common Confusion
Sustainability	Broader umbrella concept	Sustainability can include long-term viability and planetary/social systems beyond investor analysis	Many people use ESG and sustainability as if they are identical
CSR (Corporate Social Responsibility)	Earlier corporate responsibility concept	CSR often focuses on philanthropy and corporate citizenship; ESG is more analytical and finance-linked	People assume ESG means charity programs
SRI (Socially Responsible Investing)	Predecessor / related investment style	SRI often uses values-based exclusions; ESG may include broader risk and opportunity analysis	ESG is not only about avoiding “sin stocks”
Responsible Investment	Broader investment philosophy	Responsible investment may include ESG integration, stewardship, voting, and engagement	Not every responsible-investment strategy uses the same ESG methods
Impact Investing	Related but distinct	Impact investing seeks measurable positive outcomes intentionally; ESG may only assess risk and management quality	A high ESG score does not prove positive impact
Climate Risk	Subset of ESG	Climate risk covers physical and transition climate issues; ESG includes social and governance too	ESG is not just climate
Carbon Footprint	Metric within environmental analysis	Carbon footprint measures emissions; ESG is much broader	Low emissions alone do not mean good ESG
Greenwashing	Misuse / false claim risk	Greenwashing is deceptive sustainability messaging	A glossy ESG report may still be misleading
Stewardship	Tool used alongside ESG	Stewardship involves voting, engagement, and monitoring after investment	ESG analysis and stewardship are related, not identical
ESG Rating / ESG Score	Measurement output	A rating is one vendor’s view; ESG is the underlying framework	People mistake one score for objective truth
Double Materiality	Reporting lens used in some jurisdictions	Covers both financial effects on the company and the company’s impacts on people/environment	Not all jurisdictions use this concept in the same way
Sustainable Finance	Larger field	Includes ESG, climate finance, green bonds, transition finance, and policy tools	ESG is one component of sustainable finance
Sustainability-Linked Finance	Financing structure using KPI targets	Focuses on contractual KPIs and pricing mechanisms	Not all ESG activity involves linked financing
Corporate Governance	One pillar of ESG	Governance is a component, not the full framework	People sometimes reduce ESG to governance only

Most commonly confused terms

ESG vs Sustainability

• ESG: often used as an analytical framework for risk, disclosure, and finance.
• Sustainability: broader idea about long-term environmental and social viability.

ESG vs CSR

• ESG: integrated into investment, lending, governance, and reporting.
• CSR: often associated with corporate responsibility programs and social initiatives.

ESG vs Impact Investing

• ESG: may focus on managing risk or protecting value.
• Impact investing: aims to generate positive measurable social or environmental impact intentionally.

7. Where It Is Used

Finance and investing

ESG is widely used in:

• equity research
• portfolio construction
• screening and exclusions
• best-in-class selection
• active ownership and engagement
• proxy voting
• index design
• ETF and mutual fund product positioning

Accounting and financial reporting

ESG is not itself a traditional accounting line item, but it affects accounting judgments through:

• asset impairment
• useful lives and residual values
• provisions and contingent liabilities
• expected credit losses
• fair value assumptions
• going concern assessments
• narrative reporting and connected disclosures

Economics

In economics, ESG relates to:

• externalities
• public goods
• information asymmetry
• agency problems
• regulatory correction of market failures
• intergenerational resource use
• distributional and labor effects

Stock market

In listed markets, ESG appears through:

• listing-related disclosure expectations
• analyst questions
• shareholder resolutions
• governance voting
• inclusion in sustainability indices
• market reaction to controversies

Policy and regulation

Regulators use ESG concepts in:

• corporate reporting rules
• anti-greenwashing requirements
• stewardship guidance
• climate risk management expectations
• fund labeling
• taxonomy systems
• due diligence requirements

Business operations

Companies apply ESG in:

• procurement and vendor selection
• health and safety management
• energy strategy
• waste reduction
• workforce planning
• ethics and compliance
• cybersecurity and data governance
• community relations

Banking and lending

Banks use ESG to assess:

• borrower risk
• sector concentration
• collateral resilience
• reputational exposure
• financed emissions
• sustainability-linked loan structures
• transition risk in loan books

Valuation and investing

Analysts integrate ESG into:

• revenue assumptions
• margins and cost inflation
• capex requirements
• tax and carbon-cost assumptions
• terminal value
• cost of capital adjustments
• downside scenario analysis

Reporting and disclosures

ESG appears in:

• annual reports
• sustainability reports
• climate reports
• regulatory filings
• BRSR and related local frameworks
• investor presentations
• green bond or sustainability-linked finance reporting

Analytics and research

Research teams use ESG for:

• peer benchmarking
• controversy tracking
• factor models
• sector heat maps
• scenario analysis
• transition readiness assessment
• supply-chain mapping

8. Use Cases

1. Portfolio Screening for an Equity Fund

• Who is using it: Asset manager
• Objective: Avoid or reduce exposure to companies with material ESG weaknesses
• How the term is applied: The fund screens out companies with severe controversies, weak governance, or unacceptable sector exposure
• Expected outcome: Lower reputational risk and better alignment with mandate constraints
• Risks / limitations: Over-screening may reduce diversification; different ESG data providers may disagree

2. Credit Underwriting for a Corporate Loan

• Who is using it: Bank or credit committee
• Objective: Assess whether ESG factors raise default risk or covenant risk
• How the term is applied: The lender evaluates emissions exposure, safety record, litigation history, board oversight, and transition plan
• Expected outcome: Better pricing, covenants, loan tenor decisions, or risk-based rejection
• Risks / limitations: ESG data may be incomplete, especially for private firms or SMEs

3. Supplier and Supply-Chain Risk Management

• Who is using it: Manufacturing company or retailer
• Objective: Reduce labor, safety, and environmental risks in the supply chain
• How the term is applied: ESG questionnaires, audits, corrective action plans, and supplier code-of-conduct requirements
• Expected outcome: Lower disruption risk, better customer trust, and stronger export readiness
• Risks / limitations: Audits can become box-ticking; hidden subcontracting can bypass controls

4. Sustainability-Linked Financing

• Who is using it: Corporate treasury team and lender/investor
• Objective: Tie financing cost to ESG performance targets
• How the term is applied: Loan or bond terms include KPIs such as emissions intensity reduction or safety targets
• Expected outcome: Incentive to improve measurable performance and communicate accountability
• Risks / limitations: Poorly chosen KPIs can encourage gaming or weak ambition

5. M&A and Private Equity Due Diligence

• Who is using it: Acquirer or private equity sponsor
• Objective: Identify hidden liabilities and value-creation opportunities
• How the term is applied: Review permits, legacy contamination, labor practices, governance controls, board quality, cyber risk, and reporting readiness
• Expected outcome: Better pricing, post-deal integration plan, or deal abandonment
• Risks / limitations: Time pressure and limited access to reliable site-level data

6. Board Oversight and Executive Incentives

• Who is using it: Board of directors and remuneration committee
• Objective: Improve long-term strategy and accountability
• How the term is applied: ESG risks are assigned to board committees; some incentive plans include measurable ESG metrics
• Expected outcome: Better oversight, stronger controls, and more credible disclosures
• Risks / limitations: Vague ESG targets in pay plans can create optics without substance

7. Product and Fund Labeling

• Who is using it: Fund manager or financial product manufacturer
• Objective: Market products accurately and comply with sustainability-label rules
• How the term is applied: ESG criteria define portfolio eligibility, stewardship approach, exclusions, or sustainability characteristics
• Expected outcome: Better transparency for end-investors
• Risks / limitations: Misleading labels may trigger regulatory or reputational problems

9. Real-World Scenarios

A. Beginner Scenario

• Background: A retail investor compares two listed companies in the same sector.
• Problem: Both have similar profits, but one has repeated pollution fines and weak board independence.
• Application of the term: The investor uses ESG to go beyond profit figures and examine environmental compliance and governance quality.
• Decision taken: The investor chooses the company with stronger controls and fewer controversies, even if near-term profit growth is slightly lower.
• Result: The selected company faces fewer negative surprises over the next year.
• Lesson learned: ESG helps identify hidden risks before they fully appear in the numbers.

B. Business Scenario

• Background: A textile exporter supplies global brands.
• Problem: Buyers are demanding data on emissions, worker welfare, and supplier labor controls.
• Application of the term: The company maps material ESG issues, installs energy monitoring, upgrades worker safety systems, and formalizes supplier audits.
• Decision taken: Management invests in compliance systems and board-level ESG oversight instead of treating ESG as a marketing brochure.
• Result: The company retains export contracts and improves financing discussions with banks.
• Lesson learned: ESG is often operational, commercial, and strategic—not just reputational.

C. Investor / Market Scenario

• Background: A portfolio manager holds multiple utility stocks.
• Problem: Carbon prices, regulation, and renewable transition could affect future cash flows.
• Application of the term: The manager compares transition plans, capex alignment, emissions intensity, governance credibility, and regulatory exposure.
• Decision taken: The portfolio is reweighted toward firms with clearer transition pathways and stronger governance.
• Result: The fund may reduce transition-risk concentration, though short-term performance can still vary.
• Lesson learned: ESG is useful when tied to sector-specific financial drivers.

D. Policy / Government / Regulatory Scenario

• Background: A regulator wants better market transparency on sustainability risks.
• Problem: Companies use inconsistent language and investors struggle to compare disclosures.
• Application of the term: Reporting rules are introduced or strengthened around governance, strategy, risk management, metrics, and targets.
• Decision taken: Mandatory or semi-mandatory sustainability disclosures are phased in.
• Result: Data quality and comparability improve over time, though compliance costs rise initially.
• Lesson learned: ESG regulation tries to reduce information asymmetry and greenwashing.

E. Advanced Professional Scenario

• Background: A bank has a large loan portfolio in steel, cement, and power.
• Problem: The bank needs to understand financed emissions and transition risk concentration.
• Application of the term: The risk team calculates portfolio emissions metrics, identifies high-risk sectors, reviews borrower transition plans, and updates credit appetite.
• Decision taken: The bank tightens due diligence for high-emitting sectors and links some facilities to transition KPIs.
• Result: Risk visibility improves, but data gaps remain for smaller borrowers and supply-chain emissions.
• Lesson learned: Advanced ESG practice requires measurement discipline, governance, and sector expertise.

10. Worked Examples

Simple Conceptual Example

A restaurant chain has rising sales, but customers complain about single-use plastics, workers report unsafe kitchen conditions, and the founder dominates the board without independent oversight.

• Environmental issue: waste and packaging
• Social issue: employee safety
• Governance issue: weak board independence

Even if profits look good, ESG analysis suggests future risks: – legal penalties – staff turnover – reputational damage – weaker investor confidence

Practical Business Example

A mid-sized manufacturer wants to improve ESG performance.

It takes these steps:

1. Measures electricity, fuel, and water use
2. Tracks accident frequency and training hours
3. Forms a board risk committee
4. Creates a supplier code of conduct
5. Sets a target to reduce emissions intensity by 20% in three years

Business effect:
The company becomes better prepared for customer audits, investor questions, and lending discussions.

Numerical Example: Weighted ESG Score

Assume an analyst uses the following weights:

• Environmental weight = 40%
• Social weight = 30%
• Governance weight = 30%

Company metrics:

• Environmental score = 75
• Social score = 60
• Governance score = 85

Step 1: Write the formula

ESG Score = (0.40 × E) + (0.30 × S) + (0.30 × G)

Step 2: Substitute values

ESG Score = (0.40 × 75) + (0.30 × 60) + (0.30 × 85)

Step 3: Calculate each part

• 0.40 × 75 = 30
• 0.30 × 60 = 18
• 0.30 × 85 = 25.5

Step 4: Add them

ESG Score = 30 + 18 + 25.5 = 73.5

Interpretation:
The company scores 73.5 out of 100 under this methodology.

Caution: Another provider may use different metrics and weights, so the score may change materially.

Advanced Example: Financed Emissions Attribution

A bank lends 40 million to a company.

• Borrower emissions = 500,000 tCO2e
• Borrower EVIC (enterprise value including cash) = 400 million
• Bank exposure = 40 million

Formula

Financed Emissions = (Exposure / EVIC) × Borrower Emissions

Calculation

Financed Emissions = (40 / 400) × 500,000
Financed Emissions = 0.10 × 500,000
Financed Emissions = 50,000 tCO2e

Interpretation:
The bank attributes 50,000 tCO2e of financed emissions to this exposure under a proportional approach.

Limitation:
This is a portfolio-accounting measure, not a statement that the bank physically emits that amount.

11. Formula / Model / Methodology

There is no single universal formula for ESG. ESG is a framework, and organizations use different methodologies. Still, several formulas are commonly used around ESG analysis.

1. Weighted ESG Score

Formula name

Weighted ESG Composite Score

Formula

ESG Score = (wE × E) + (wS × S) + (wG × G)

Meaning of each variable

• wE = weight assigned to environmental factors
• wS = weight assigned to social factors
• wG = weight assigned to governance factors
• E, S, G = underlying scores for each pillar

The weights usually sum to 1.

Interpretation

A higher score generally indicates better performance under that specific methodology.

Sample calculation

If: – wE = 0.4 – wS = 0.3 – wG = 0.3 – E = 72 – S = 64 – G = 80

Then:

ESG Score = (0.4 × 72) + (0.3 × 64) + (0.3 × 80)
= 28.8 + 19.2 + 24
= 72.0

Common mistakes

• treating the score as objective truth
• ignoring sector-specific materiality
• comparing scores from different vendors without adjustment
• using equal weights when the sector is not balanced across E, S, and G

Limitations

• highly sensitive to methodology
• may hide major controversies behind a good average
• can oversimplify trade-offs

2. Emissions Intensity

Formula name

Carbon or Emissions Intensity

Formula

Emissions Intensity = Total Emissions / Activity Denominator

Common denominators: – revenue – units produced – tonnage transported – megawatt-hours generated

Meaning of each variable

• Total Emissions = usually Scope 1 and Scope 2, and sometimes Scope 3
• Activity Denominator = economic or physical output measure

Interpretation

Lower intensity generally means lower emissions per unit of business activity.

Sample calculation

If a company emits 48,000 tCO2e and has revenue of 240 million:

Emissions Intensity = 48,000 / 240
= 200 tCO2e per 1 million of revenue

Common mistakes

• mixing currencies or revenue periods
• comparing across sectors without context
• mixing Scope 1+2 for one company and Scope 1+2+3 for another

Limitations

• intensity can improve even if total emissions rise
• revenue-based intensity can move due to price changes, not operational efficiency

3. Portfolio Weighted Average Carbon Intensity (WACI)

Formula name

WACI

Formula

WACI = Σ [Portfolio Weight(i) × Carbon Intensity(i)]

Meaning of each variable

• Portfolio Weight(i) = weight of security i in the portfolio
• Carbon Intensity(i) = emissions per unit of revenue or other denominator for issuer i

Interpretation

WACI estimates the carbon intensity exposure of a portfolio.

Sample calculation

Suppose a portfolio has:

• Company A: 50% weight, intensity 120
• Company B: 30% weight, intensity 60
• Company C: 20% weight, intensity 400

WACI = (0.50 × 120) + (0.30 × 60) + (0.20 × 400)
= 60 + 18 + 80
= 158

Common mistakes

• inconsistent emissions scopes
• stale revenue data
• assuming WACI equals actual financed emissions

Limitations

• more useful for comparison than for absolute impact
• can understate exposure if Scope 3 is omitted in high-value-chain sectors

4. Financed Emissions Attribution

Formula name

Proportional Financed Emissions

Formula

Financed Emissions = (Exposure / Attribution Base) × Borrower or Investee Emissions

Common attribution bases: – enterprise value including cash – outstanding debt and equity share – other accepted portfolio-accounting bases

Meaning of each variable

• Exposure = loan amount, investment amount, or outstanding balance
• Attribution Base = denominator used to allocate a share of the issuer’s emissions
• Borrower or Investee Emissions = emissions associated with the entity

Interpretation

Shows the share of portfolio emissions attributed to a lender or investor.

Sample calculation

If: – Exposure = 25 million – Attribution base = 250 million – Borrower emissions = 300,000 tCO2e

Then:

Financed Emissions = (25 / 250) × 300,000
= 0.10 × 300,000
= 30,000 tCO2e

Common mistakes

• using book value when methodology requires another base
• mixing estimated and reported emissions without disclosure
• forgetting off-balance-sheet exposures where relevant

Limitations

• data availability is often weak
• methodology can vary by asset class
• not a direct measure of physical climate harm caused by the financier

12. Algorithms / Analytical Patterns / Decision Logic

ESG does not have one universal algorithm, but it often uses repeatable decision logic.

| Framework / Logic | What It Is | Why It Matters | When