NGFT Classifier

Client & Loan Details
Activity Details
DNSH Assessment
Social Safeguard Check
Disclaimer: This tool is a classification support template (Capstone Prototype v PK1 by the author, TU SOM). It does not replace credit appraisal, ESRM/ESDD, legal due diligence, or final approving authority. Validate all results against your bank's approved policy and the latest NRB NGFT guidance before use.
Portfolio Classifier

Classify an entire loan portfolio at once using the same NGFT whitelist, DNSH and Social Safeguard logic as the single-loan Classifier. For each loan, first set # Activities: if one loan funds a single activity, leave it at 1; if it's split across activities (e.g. NPR 100,000 as 60,000 + 40,000), set it to 2, 3... up to 5, and matching activity column-groups appear for that row. Type directly into the grid (Sector/Subsector/Activity are dropdowns matched exactly to the NGFT criteria library), or import/paste an existing sheet to pre-fill it, then click Classify Portfolio.

Column order expected on import: S.N | Name of Borrower | MainCode | Limit | OutStanding | Sector | Subsector | Activity/Criteria | Core Principles followed | Is DNSH followed? | Does activity adhere to Social and inclusion Aspects? For a loan split across several activities, repeat the same S.N on one line per activity (each with its own OutStanding portion); those lines are automatically grouped into one loan row with multiple activity columns. Imported Sector/Subsector/Activity text is auto-matched to the closest NGFT criteria (same matching engine used inside the Mapper tab); double-check and correct each dropdown before classifying.
Portfolio Data Entry Grid

# Activities sets how many activities that specific loan is broken into. Grayed-out columns beyond that count are simply unused for that row.

Disclaimer: Bulk classification is an automated preliminary screen. Always have a credit/ESG officer verify each row's Sector/Subsector/Activity match and evidence before finalizing portfolio-level green tagging.
Activity Mapper Adaptive Interview
This is not a keyword search. The Mapper conducts an adaptive interview: like consulting an experienced Green Finance Specialist, progressively narrowing down to the single most appropriate official NGFT 2024 activity.
Badda - your NGFT Green Finance Specialist AI
Trained on the Nepal Green Finance Taxonomy 2024 · Ask about any loan or project and I'll walk you through classifying it.
External Reviewer Queue Principle-Based Submissions
Every activity classified via the Principle-Based Approach (not on the Annex 2 whitelist) lands here as Provisional until an independent reviewer confirms it. This is separate from internal ESRM/credit committee sign-off - NGFT Section 5.4 calls for external, case-by-case scrutiny on non-whitelisted classifications before they're treated as final.
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Green
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Amber
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Red
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Total
1
Sector
2
Subsector
3
Criteria
4
Details
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Green
Transformative: Invest freely. Activity fully aligns with climate goals.
Solar irrigation · Organic farming · Reforestation · EV charging
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Amber
Transitional: Invest with conditions. Moving toward green, needs monitoring.
Conservation tillage · Energy efficiency upgrades · Low-emission manufacturing
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Red
Non-compliant: Do not tag as green. Escalate for ESRM review.
Coal mining · Deforestation · Fossil fuel plants · Diesel-pump irrigation
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Classify a Loan
Get Green/Amber/Red in 5 minutes
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Activity Mapper
Talk to the AI Specialist to find the right NGFT activity
🧭
NGFT Navigator
Browse all 586 criteria visually
📖
Learn NGFT
12 lessons: NGFT-ready in ~50 minutes
📋
Evidence & Reporting
Checklists and annual green targets
🎮
Gaming Centre
Learn NGFT through quizzes and challenges
📖 Course Progress
0 / 12 lessons 📄 Official NGFT PDF ↗
Lesson 1 of 12
Before NGFT: what is a "taxonomy," really?
The building blocks every sustainable finance taxonomy shares, so NGFT's own design choices make sense from the very first lesson.
⏱ ~4 min read 🟢 Beginner 5 sections
Why taxonomies exist The three building blocks Three ways to test alignment DNSH and taxonomy "flavours"
Lesson 0.1: Sustainable Finance Taxonomies, Explained
Before NGFT: what is a "taxonomy," really?

Financial markets are how the world funds its response to climate change: capital has to move toward low-carbon, resource-efficient, resilient activities, and away from ones that make things worse. That redirection of money is what people mean by "sustainable finance." But redirecting capital only works if everyone agrees on what counts as sustainable in the first place. For years, they didn't. Different banks, funds and rating agencies each used their own definitions, methodologies and scores, and a well-known UBS survey found that roughly three-quarters of high-net-worth investors found the resulting maze of sustainability labels confusing.

That confusion has a name economists use: information asymmetry. The bank or company raising money knows exactly what the loan or bond is funding; the depositor, investor or regulator reading the annual report doesn't. Left unresolved, that gap opens the door to greenwashing: labelling an ordinary loan "green" because it sounds good, not because it earns it. A taxonomy is the tool built to close that gap. It's a classification system: a rulebook that sorts economic activities (a poultry farm, a cement plant, a hydropower project) against a shared, checkable definition of "sustainable," so the label means the same thing no matter who's using it.

💡
In one sentence: a sustainable finance taxonomy is a common language: it turns "is this green?" from a matter of opinion into a matter of checking an activity against agreed criteria.
0.2: What a taxonomy actually does for the financial system

Think of a sustainable finance taxonomy as an encyclopaedia of sustainable economic activities: a detailed list of sectors and activities, paired with the criteria an activity has to meet to be considered aligned. Once that exists, three things become possible that weren't possible before: investors can actually compare how sustainable different investments are, rather than taking a label on faith; greenwashing gets much harder, because there's now an objective standard to be checked against; and the market stops fragmenting into dozens of competing private definitions, because everyone converges on the same reference tool.

This is also where taxonomies earn their keep for a bank specifically, not just for the system in the abstract: they give you confidence that a loan you're tagging "green" will hold up to scrutiny, they help direct capital toward activities that lower your own portfolio's exposure to climate and environmental risk, and internationally, taxonomy alignment is increasingly the ticket needed to access green bonds, climate funds (like the GCF) and preferential green finance instruments. It's worth being equally clear on what a taxonomy is not: it says nothing about the financial return of an investment, and it doesn't ban unsustainable activities either, it simply doesn't label them sustainable.

🤝
Confidence & Trust
Gives depositors, regulators and investors a reason to believe a "green" label is real.
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Better Decisions
Lets investors and lenders compare sustainability across activities on the same terms.
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Mobilised Capital
Redirects domestic and international capital toward genuinely aligned activities.
0.3: The building blocks every taxonomy shares

Whatever country you look at, a taxonomy is assembled from the same three core elements, decided in roughly this order:

STEP 1
Objectives
The environmental and/or social goals the taxonomy exists to serve, usually anchored to a country's own climate strategy or NDC, and often to the Paris Agreement and SDGs.
STEP 2
Scope
Which sectors and activities the taxonomy actually covers, derived from the objectives, often mapped using national or international industrial classification codes.
STEP 3
Alignment Criteria
The actual test an activity inside that scope has to pass to be called "aligned." This is where Lesson 2 onward will spend most of its time.
⚠️
Common misconception: being listed inside a taxonomy's scope does not automatically make an activity sustainable. It still has to be checked, granularly, against the alignment criteria in Step 3.
0.4: Three ways taxonomies test alignment

Once the scope is set, a taxonomy needs a method for actually deciding whether a given activity clears the bar. Around the world, three approaches show up, often blended together:

Technical Screening Criteria
Concrete, often science-based qualitative or quantitative thresholds an activity must meet (e.g. a maximum gCO2e/kWh for a power plant). Used by the EU, ASEAN and South Africa taxonomies, among others. Very precise, but data- and capacity-intensive to build.
Whitelist
A pre-approved catalogue: if your activity's description matches an entry on the list, it's aligned. Easier for banks to apply day-to-day, though the lack of granular criteria leaves more room for interpretation.
Principles-Based
No fixed list of sectors or numeric thresholds: instead, a set of guiding questions used to assess an activity or company case by case. Highly flexible, but harder to compare across borders.
💡
As you'll see in Lesson 1, NGFT is a hybrid: it pairs a principles-based foundation with a ready-made whitelist on top, aiming to get the day-to-day simplicity of a whitelist without losing the defensibility of clear underlying principles.
0.5: The DNSH principle, and the main "flavours" of taxonomy

Most taxonomies pursue more than one objective at once (say, climate mitigation and biodiversity protection), and that raises an obvious question: what if an activity helps one objective while quietly damaging another? A large hydropower plant can genuinely cut emissions and still flood a habitat. The answer most taxonomies (the EU's included) build in is Do No Significant Harm (DNSH): an activity only counts as aligned if, in serving one objective, it doesn't meaningfully undermine any of the others. You'll meet NGFT's own version of this gate in Lesson 3.

🌿 Green Taxonomies
The most common type: activities aligned with environmental goals like mitigation, adaptation, biodiversity and pollution control. What NGFT is.
🤲 Social Taxonomies
Focused on social goals: living standards, decent work, inclusive communities. Often paired with a green taxonomy's own social safeguards.
🚫 Negative-Screen Taxonomies
List harmful activities to steer capital away from, rather than list what to fund.
🚦 Traffic-Light Taxonomies
Sort activities as Green, Amber or Red rather than just "in or out," so a transition pathway is visible. This is NGFT's own model, as you'll see next.
📝 Key takeaways from this lesson
  1. A taxonomy exists to fix information asymmetry: without one, "sustainable" means whatever the person selling the product says it means.
  2. Every taxonomy is built from the same three blocks: objectives, scope, and alignment criteria.
  3. Alignment is tested one of three ways (or a mix): technical screening criteria, a whitelist, or a principles-based approach.
  4. DNSH keeps a taxonomy honest when it has more than one objective: helping one goal can't come at serious cost to another.
  5. NGFT, which you'll meet in the next lesson, is a green, traffic-light taxonomy built on a hybrid principles + whitelist approach.
NGFT Training Games

Four quick games built from the real 586-criteria NGFT whitelist. Sharpen your Green, Amber and Red instincts, learn to spot DNSH failures, and practice portfolio-level trade-offs.

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Balloon Pop Blitz
An activity flies in. Pop the Green, Amber or Red balloon before it drifts away. Combos, confetti, sound effects, the works. 🏆 Real cash prize on offer.
Play →
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Build the Portfolio
NPR 500M to lend. Pick loans, hit your green target, and don't blow the budget.
Play →
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DNSH Detective
10 cases. An activity looks Green on the whitelist, but something is off. Find which safeguard it secretly breaks.
Play →
🌳
Tree Quest Quiz
100 tricky, funny NGFT questions across 10 levels, easy to brutal. Clear a level, plant a tree. Clear all 10, grow a forest.
Play →
🎈 Balloon Pop Blitz Leaderboard
Cross 250 points to join the prize board
Phased Implementation Pathway

From Whitelist Fast-Track to Full Activity-Based Classification

NGFT adoption does not need to be all-or-nothing on day one. A phased pathway lets BFIs build capacity gradually while staying aligned with NGFT's long-term vision of activity-level classification. This tool (the Classifier, Mapper and Navigator tabs) implements the Activity-Based Classification (ABC) approach in full, matching each funded activity against the NGFT whitelist, DNSH and social safeguard criteria.

Year 1
Whitelist
🌞
Direct Green tagging via sunset-clause circular
Years 2-3
PABC
📊
Primary Activity-Based Classification (core activity)
Year 4+
ABC
🗂️
Full activity-level NGFT classification (this tool)
Caveat: DNSH Declaration Required for Whitelisted (Fast-Track) Activities. Being on the NGFT whitelist (Annex 2) only confirms that an activity contributes to a green objective; it does not by itself confirm the activity avoids significant harm to the other environmental objectives. Before any Year-1 whitelist activity is direct-tagged Green under the sunset-clause fast-track, the BFI must obtain a signed Do No Significant Harm (DNSH) self-declaration from the borrower, confirming that the whitelisted activity does not cause significant harm to climate change mitigation, climate change adaptation, sustainable use of water and marine resources, circular economy/pollution prevention, or biodiversity and ecosystem protection (NGFT Table 1). This declaration, together with supporting evidence where available, must be retained in the credit file and is a precondition for Green tagging, regardless of which phase is used.
YEAR 1
Whitelisted Sectors
Direct Green tagging, sunset clause via NRB circular
Activities that sit squarely on the NGFT whitelist (Annex 2) can be tagged Green directly, without running the full ABC or PABC workflow, provided DNSH and minimum social safeguard checks pass. This fast-track is time-bound by design: an NRB circular would set a "sunset" date after which any loan not migrated to a documented ABC/PABC assessment reverts to Amber/unclassified until reassessed. It exists to unblock early adoption for the most unambiguous, well-evidenced whitelist activities (e.g., run-of-river hydropower, certified organic tea, solar PV) while the bank builds its classification muscle.
YEARS 2-3
PABC
Primary Activity-Based Classification
For general-purpose business loans that fund a mix of activities (working capital, fixed-asset purchase, receivables), the entire loan is classified on the borrower's primary/core business activity, verified via registration certificate, PAN, sector licence and the Credit Appraisal Memorandum (CAM), rather than splitting out every rupee of use-of-funds. Inspired by the CDP Activity Classification System (CDP-ACS), PABC trades some precision for speed and low data burden, letting BFIs classify portfolio-wide without overhauling loan-monitoring systems.
YEAR 4+
ABC
Activity-Based Classification (this tool)
Each funded activity within a loan is broken out and individually matched against NGFT whitelist/DNSH/safeguard criteria, then aggregated to a blended Green/Amber/Red/Not-aligned profile for the loan. This is the most precise and fully NGFT-aligned method, but requires granular use-of-proceeds tracking and stronger borrower reporting. The Classifier, Mapper and Navigator tabs in this tool are built for ABC, use them once loan-level activity data is available.
💡
Why phase it? BFIs beginning NGFT integration typically lack the granular use-of-funds data ABC requires. PABC lets classification start immediately with documentation banks already collect at credit appraisal, while a whitelist sunset-clause fast-tracks unambiguous Year-1 cases. As data systems, borrower reporting and internal capacity mature, banks graduate to a hybrid model (PABC for smaller/general loans, ABC for high-value or project-specific loans) before moving to full ABC across the portfolio. Source: adapted from "ABC or PABC: A Pathway for Implementing the Nepal Green Finance Taxonomy" and the Nepal Green Finance Taxonomy 2024, para 3.5.1 on monitoring taxonomy-aligned financing.
📊 PABC: Primary Activity-Based Classification
How: Identify the borrower's core revenue-generating activity, check its NGFT alignment, then classify the whole loan accordingly, regardless of specific fund allocation, provided the primary activity accounts for the majority of operations.

Verification: Business registration certificate, PAN, sector licence, Credit Appraisal Memorandum (CAM).

Best for: General-purpose working-capital loans, SME facilities, portfolio-wide rapid rollout.

Trade-off: Low data burden and fast to apply, but may overlook secondary negative impacts of minority fund use.
🗂️ ABC: Activity-Based Classification
How: Break the loan into discrete funded activities, classify each against NGFT whitelist/DNSH/safeguard criteria individually, then aggregate into a blended Green/Amber/Red/Not-aligned profile.

Verification: Loan utilization schedules, disbursement-linked evidence, activity-level documentation.

Best for: Project-specific finance, high-value loans, term loans with clear disbursement tranches.

Trade-off: Highest precision and full NGFT alignment, but needs granular use-of-proceeds tracking and stronger institutional capacity.
Year 1 Reference: Whitelisted Green Products/Projects/Initiatives

The following sector list is reproduced from Bangladesh Bank's Sustainable Finance Policy for Banks and Financial Institutions (October 2023), section 3.3.3.1 "List of Green Products/Projects/Initiatives applicable for Term Finance." It is included here as a comparative regional benchmark of a whitelist-style, sector/product-tagged fast-track list, the same structural idea proposed for a Year-1 NRB circular-based sunset-clause whitelist under NGFT. Category letters (A-N) and item numbers match the original circular.

Visitor Feedback

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This tool is a capstone prototype and still evolving. If you tried the Classifier, Mapper or Navigator, share your thoughts below. Featured comments from visitors appear underneath.

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Researchers

A Chartered Accountant with hands-on green financing experience and a PhD- academic, together bringing 25+ years of combined expertise in Research, sustainable finance, ESG regulation and applied taxonomy research to this tool.

Prabin Kumar Kafle
Prabin Kumar Kafle
CA, SCR®, MBS, PGDSBM, LLB, BCOM (A&F)

Prabin Kumar Kafle has served as Green Financing Officer at MNBBL, where his experience in credit appraisal and green financing sits directly behind how this tool operationalises the Nepal Green Finance Taxonomy for real loan files. He previously worked in financing roles at Mega Capital Markets Limited and as Credit Manager at We Finance Association. He is a Chartered Accountant (ICAI) and SCR®-certified sustainability and climate risk professional, holding a Post Graduate Diploma in Sustainable Business Management (SOMTU), an MBS (Shanker Dev Campus), an LLB (Nepal Law Campus) and a BCOM in Accounts and Finance (IGNOU), alongside certifications in IFRS S1 & S2, ESG reporting, life cycle assessment and GHG accounting from ICAI, the IFRS Foundation, the ESG Institute and Erasmus University Rotterdam. He has delivered green taxonomy and ESG workshops across Nepal's banking sector, including with USAID, Deloitte, IFC and SEBON, has trained professionals for the GARP SCR® certification, and taught Sustainable Finance and ESG Reporting as Adjunct Faculty at KUSOM and SOMTU. His recent work spans technical input to The World Bank Group's B-READY assessment, the GARP SCR® item-writer drive, a green finance market assessment with IFC, EY and WindPower Nepal, and refinement work on the Green Finance Taxonomy alongside DBAN, USAID Urja and Deloitte. His paper on Green Finance Taxonomy implementation won first place in the National Banking Institute's Mini Research Paper Competition.

Rajesh Sharma
Rajesh Sharma, PhD

Rajesh Sharma, PhD, is an academic, researcher and management consultant with expertise in corporate finance, sustainability (ESG) and financial regulation. He is an Assistant Professor at Kathmandu University School of Management, teaching corporate finance, financial modelling and valuation, sustainability (ESG) and econometrics across undergraduate, postgraduate and doctoral programs. He holds a PhD in Finance from Ca' Foscari University of Venice (Italy), a Master's in Mathematical Models in Economics and Finance (MMEF) from the University of Paris 1 Panthéon-Sorbonne (France) and a certification in Environmental Data Science from Yale School of the Environment (USA). With over 15 years spanning academia, industry and consulting, he advises governments, international organizations, financial institutions and businesses on finance, sustainability and public policy. His publications focus on sustainable finance, corporate disclosure, financial stability, market risk and AI-driven financial analytics in emerging markets, and he provides consulting, executive training and research supervision in ESG, financial modelling, econometric analysis and policy evaluation, bringing a rigorous, data-driven lens to the taxonomy and classification methodology underpinning this tool. He has also earned MBS, MBA, MPhil and MRes degrees, reflecting a broad interdisciplinary academic foundation and deep expertise in finance, management and applied research.

Why This Tool Exists

NGFT 2024 gives Nepal's banks and financial institutions a clear taxonomy, but applying it consistently to real loan files is hard in practice. This tool operationalizes that taxonomy into a rule-based classifier, built to help BFIs bridge the gap between regulatory policy and on-the-ground loan classification, tested against real portfolio data rather than idealized examples.

Get in Touch
📞  +977 9840647512
Open to Collaboration

We welcome conversations with banks, regulators, researchers and development partners working on green finance taxonomies, ESG integration and sustainable banking policy in Nepal and beyond. If you're applying NGFT in practice, exploring similar tools, or interested in research or capacity-building collaboration, We'd be glad to connect.

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External references, frameworks and reading material relevant to NGFT and green finance taxonomies more broadly.

🌍 Global Sustainable Finance Intelligence Resources

Curated global tools, databases, and frameworks supporting sustainable finance taxonomy development, comparison, and implementation.

🌍
Global Taxonomy Overview
World of Taxonomies
Climate Bonds Initiative's global overview of green and sustainable finance taxonomies.
Visit Resource →
🌍
Global Taxonomy Database
Global Taxonomy Map
Explore sustainable finance taxonomies developed worldwide.
Visit Resource →
🧭
Taxonomy Classification Tool
EU Taxonomy Navigator
Search economic activities, technical screening criteria, and taxonomy requirements.
Visit Resource →
📚
Global Taxonomy Repository
Global Taxonomy Library
Access country-level green and sustainable finance taxonomy resources.
Visit Resource →
🌱
Green Finance Classification Tool
Climate Bonds Taxonomy
Global sector eligibility framework for green finance and green bonds.
Visit Resource →
🔄
Taxonomy Interoperability
SBFN Toolkit on Sustainable Finance Taxonomies
Compare and understand alignment between global taxonomies.
Visit Resource →
Global Taxonomy Navigator

A working reference of green, sustainable and transition finance taxonomies issued or under development around the world, covering 53 frameworks from national regulators, regional bodies and international institutions.

Country / Region Taxonomy Year Status Issuing Authority DNSH Link