Finarva

Research library

Reports that shape
how we think about Bharat.

A running shelf of the papers, reports and field studies we return to — each with a short summary and what it means for Finarva.

Credit Constraints among Unincorporated Enterprises in India — An Empirical Investigation Using Unit-Level ASUSE Data

Summary of report

NIPFP's Shivani Badola and Sacchidananda Mukherjee use unit-level data from NSSO's Annual Survey of Unincorporated Sector Enterprises (ASUSE) 2022-23 to measure how credit-constrained India's unincorporated enterprises actually are — the exact universe of nano and micro businesses that make up the Tier 2+ MSME base.

Enterprises are classified into three buckets — fully constrained, partially constrained, and not constrained — using their sources of outstanding loans and their own survey responses on unmet demand. A large share of unincorporated firms sit in the fully or partially constrained band, meaning credit is either unavailable to them or available only through informal, high-cost channels.

Manufacturing enterprises face materially higher credit constraints than trading and services firms, because their working-capital cycles are longer and their assets don't fit conventional collateral norms.

Female entrepreneurs and owners from SC/ST and OBC communities face significantly greater credit constraints than others — even after controlling for size, sector and location — pointing to structural bias in how formal credit is priced and rationed.

Turnover, asset value, GST registration status, price-cost margin, and rural vs urban location emerge as the strongest determinants of who gets institutional credit and who doesn't — small, unregistered, thin-margin rural businesses are systematically the most constrained.

The paper's core policy implication: without underwriting models that go beyond formal registration and audited books, a large majority of unincorporated enterprises will continue to be locked out of institutional credit even as the sector grows.

Key takeaways for Finarva

  • This is a first-principles, government-data validation of Finarva's segment — the credit-constrained unincorporated enterprise IS our borrower. The paper puts empirical weight behind what we see on the ground every day.
  • The finding that manufacturing is the most credit-constrained sub-segment maps directly to businesses like Haalurappa's fertiliser shop, Anantha Lakshmi's roti unit, and Doddaiah Swamy's hotel — cash-intensive, working-capital-heavy Bharat enterprises that banks won't touch.
  • SC/ST/OBC and female entrepreneurs are systemically underserved even after controlling for firm characteristics. Our branch + Household Liability Group model is designed to reach exactly these borrowers — Alima and Lakshman would be classified 'fully constrained' by this paper's framework.
  • GST registration, asset value and turnover are the paper's dominant predictors of access — which is precisely why the pure-formal underwriting stack fails Bharat. HLG lets us underwrite the household cash-flow and community-liability layer that sits underneath these formal signals.
  • This paper strengthens our institutional narrative: we are not chasing a niche, we are financing the empirically dominant, credit-rationed segment of India's enterprise base — and doing it with an underwriting layer the paper's own data implies is necessary.

Credit Disrupted — Digital MSME Lending in India

Summary of report

India has 55–60 million MSMEs contributing meaningfully to GDP and employment, yet roughly 40% of MSME credit still flows through the informal sector at rates at least twice the formal market.

The report estimates the unmet MSME credit demand at ₹30 lakh crore — roughly $400 billion — a gap that exists because formal lenders underwrite against assets and audited books, while most Tier 2+ businesses operate on cash flows and household balance sheets that are invisible to conventional scoring.

The report projects MSME digital lending to grow 10–15x, reaching ₹6–7 lakh crore ($80–100B) in annual disbursements, driven by three shifts: MSME formalization/digitization (post demonetization, UPI, GST), a maturing India Stack unlocking API-based data across the value chain, and MSMEs' rising willingness to adopt digital finance.

It maps six lender archetypes — from incumbent banks to new-age digital lenders and platform-embedded players — and argues the winners will re-architect underwriting around cash-flow data, alternative signals, and near-zero-touch operations.

Segment focus falls on MSMEs with annual revenue between ₹10L and ₹1Cr — the same cash-flow driven 'missing middle' that formal banking still under-serves.

Key takeaways for Finarva

  • The ₹10L–₹1Cr revenue band the report singles out is precisely Finarva's Tier 2+ borrower — validating that our segment is the largest under-priced pool in Bharat, not a niche.
  • 'Cash-flow lending over collateral' is the report's core thesis. Our Household Liability Group (HLG) architecture operationalizes it by turning invisible cash-flows and household-level signals into an institutional-grade underwriting layer.
  • The India Stack + alternative data flywheel the authors describe is the rail we ride: GST, bank statement AA, UPI trails and geospatial signals — combined with on-ground HLG verification — let us underwrite where pure-digital lenders still can't.
  • The report warns that app-only players will struggle to reach the deepest Bharat customer. Our branch + HLG hybrid is designed for exactly that customer — the Alima, the Lakshman, the Haalurappa — who a screen-first lender never onboards.
  • The 10–15x disbursement expansion frames the market Finarva is building into: not a share-shift story, but a category-creation story where the informal 40% gets absorbed into formal, priced-right credit.

More reports being added as we read them. Have one we should engage with? Send it to us.