·The Hindu·15 marks·250–350 words

Digital lending and Buy-Now-Pay-Later have made credit easy to get but hard to manage. Suggest a regulatory framework to protect consumers.

In this answer
  1. Why easy credit becomes hard to manage
  2. Existing safeguards and gaps
  3. Suggested framework

India's household debt rose to 45.5% of GDP by September 2025. Most of the rise came from non-housing retail loans [1]. App-based loans and Buy-Now-Pay-Later (BNPL) let people borrow in one click, but consumer protection has not kept up. A framework built around the borrower is needed.

Why easy credit becomes hard to manage

  • Unsecured, asset-less debt: bad loans (gross NPAs) were 1.7% on unsecured retail loans, against 0.7% on secured ones [1].
  • Loan stacking: small BNPL and app loans taken from many lenders may not be visible to the next lender.
  • Opaque pricing: hidden fees, over-collection of data and harsh recovery practices.
  • Systemic risk: household debt booms raise the chance of a later banking crisis, and lenders tend to ignore this risk while the boom lasts [4].

Existing safeguards and gaps

  • RBI Digital Lending Directions, 2025: a Key Fact Statement giving the all-in cost (APR); a cooling-off exit; money paid only into the borrower's own account; explicit consent for data use; a public directory of lending apps; and grievance officers [2].
  • November 2023: RBI raised risk weights on consumer credit by 25 percentage points to 125% [3].
  • Gap: both measures regulate the lender. Neither limits a borrower's total repayment burden.

Suggested framework

Licensing → Disclosure → Affordability → Reporting → Fair recovery → Redress

Fig: Lifecycle of consumer protection

  • Regulatory perimeter: every BNPL or fintech product must be tied to an RBI-regulated lender. Apps not in the RBI directory should be delisted from app stores.
  • Affordability test: cap total monthly repayments (EMIs) as a share of income for unsecured credit. Check income before raising BNPL limits.
  • Full credit-bureau reporting: report every small-ticket and BNPL loan in near real time, so lenders can see stacked loans.
  • Disclosure by design: show the Key Fact Statement and APR at checkout. Ban pre-ticked "pay later" options and cap late fees.
  • Fair recovery and data use: a binding code of conduct for recovery agents, and data handling in line with the Digital Personal Data Protection Act, 2023.
  • Macroprudential monitoring: the Financial Stability Report should track household debt against household income. Risk weights should be adjusted with the credit cycle [3].
  • Financial literacy: short nudges inside apps for first-time borrowers.

Digital credit deepens financial inclusion; the risk comes from how it is sold and how fast it grows. A framework that combines licensing, affordability checks, transparency and redress can keep credit flowing without trapping borrowers in debt. This would advance SDG 8.10 (wider access to financial services) and support a stable, inclusive financial system.

Sources

  1. 1RBI Financial Stability Report, June 2026: household debt at 45.5% of GDP driven by non-housing retail loans; GNPA of unsecured vs secured retail loans
  2. 2Reserve Bank of India (Digital Lending) Directions, 2025: KFS/APR, cooling-off period, direct disbursal, data consent, app directory, grievance officers
  3. 3RBI: Regulatory measures towards consumer credit and bank credit to NBFCs (16 Nov 2023): consumer-credit risk weights raised by 25 percentage points to 125%
  4. 4IMF Working Paper WP/18/76: Understanding the Macro-Financial Effects of Household Debt (2018): household debt booms raise banking-crisis risk; crash risk is neglected during booms

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