Microfinance Types & Models: Grameen, Group Lending, Rotating Savings

TAKEAWAYS:

• Microfinance models are classified by client grouping (individual vs. group), product focus (credit vs. savings), and ownership (independent vs. cooperative).
• Grameen Bank’s model (group lending + joint liability) reduced default rates in Bangladesh by 90% by leveraging peer pressure.
• Rotating Savings and Credit Associations (ROSCAs)—used by eSewa’s users—pool funds cyclically to eliminate interest costs.
• Credit unions (e.g., Nepal Credit Union Federation) democratize access by requiring membership fees and dividend-sharing.
• Microinsurance (e.g., NMB’s crop insurance) covers 50% of losses for small farmers, unlike traditional insurance’s high premiums.
• Hybrid models (e.g., Siddhartha’s Swasthya Sahayog) combine health insurance + microloans to address dual needs.

1. Definitions: What Counts as Microfinance?

Microfinance provides financial services (credit, savings, insurance, payments) to low-income individuals/groups who lack access to traditional banking. Key terms:

Visual:

2. Core Models of Microfinance

Models differ by client structure, ownership, and service delivery. Below is a classification table with Nepal-specific examples:

Visual:

classDiagram
    class MicrofinanceModel {
        +String name
        +String clientGrouping
        +String ownershipType
        +String keyFeature
    }

    MicrofinanceModel <|-- IndividualLending
    MicrofinanceModel <|-- GroupLending
    MicrofinanceModel <|-- CreditUnion
    MicrofinanceModel <|-- ROSCA
    MicrofinanceModel <|-- SavingsLed

    IndividualLending : "Solo borrowers, high default risk"
    GroupLending : "Peer groups, joint liability"
    CreditUnion : "Member-owned, no-profit"
    ROSCA : "Rotating contributions, no interest"
    SavingsLed : "Savings-first, builds trust"

3. How Group Lending Works: The Grameen Model

Grameen Bank’s model (1976, Bangladesh) revolutionized microfinance by:

1. Group formation: 5 members (mostly women) form a solidarity group.
2. Joint liability: If one defaults, the group collectively repays.
3. No collateral: Loans based on trust and peer monitoring.
4. Graduated repayment: Starts with small loans (NPR 1,000) and scales up.

Worked Example: Sita Kumari’s Group Loan Sita, a tea shop owner in Dhading, joins a 5-member group with Siddhartha Foundation. Her loan details:

| Loan # | Amount (NPR) | Repayment Term | Interest Rate | Guaranteed By |
|--------|--------------|----------------|----------------|---------------|
| 1      | 15,000       | 6 months       | 20%           | Her group     |
| 2      | 25,000       | 12 months      | 20%           | Her group     |

**Repayment Schedule (Loan #1):**
- **Month 1**: NPR 2,500 (principal + interest)
- **Month 2**: NPR 2,500
- **Month 3**: NPR 2,500
- **Month 4**: NPR 2,500
- **Month 5**: NPR 2,500
- **Month 6**: NPR 7,500 (remaining principal)

Why It Works in Nepal:

• Default rate: <5% (vs. 20% for individual loans).
• Gender inclusion: 70% of Siddhartha’s borrowers are women.
• Social capital: Groups hold weekly meetings to discuss progress.

4. Credit Unions: Democratizing Finance

Credit unions are member-owned MFIs where:

• Membership fees (NPR 100–500) fund operations.
• Dividends (5–10%) are shared annually.
• No shareholder profits—excess funds go to members.

How It Works (Nepal Example):

1. Join: Pay a membership fee (NPR 200).
2. Deposit: Minimum NPR 500/month.
3. Borrow: Loans at 12–18% interest (vs. 24% from banks).
4. Vote: Members elect the board.

Visual: Credit Union Flowchart

flowchart TD
    A["Member Pays Fee"] --> B["Deposits Savings"]
    B --> C["Board Approves Loans"]
    C --> D["Loan Disbursed (12-18% interest)"]
    D --> E["Excess Profit → Dividends"]
    E --> F["Members Vote on Policies"]

Real-World Tie: Nepal Credit Union Federation

• Members: 1.2 million (2023).
• Loans disbursed: NPR 12 billion/year.
• Default rate: <3% (due to peer pressure).

5. ROSCAs: The "Kitty System"

Rotating Savings and Credit Associations (ROSCAs) are informal groups where:

• Members contribute NPR X/month.
• After N months, each member gets N × X (e.g., 10 members × NPR 500/month → NPR 5,000 each).
• No interest; just sharing risk.

Example: eSewa’s Savings Circle

• Group: 8 daily wage workers in Kathmandu.
• Contribution: NPR 300/month.
• Cycle: 10 months → Each gets NPR 3,000.
• Use case: Funds a shared motorbike for commuting.

Visual: ROSCA Timeline

timeline
    title ROSCA Contributions (10 Members, NPR 300/month)
    1 : Member 1 contributes NPR 300
    2 : Member 2 contributes NPR 300
    ...
    10: Member 10 contributes NPR 300
    11 : Member 1 receives NPR 3,000 (after 10 months)
    12 : Member 2 receives NPR 3,000
    ...
    20: Member 10 receives NPR 3,000

Advantages:

• No interest costs (vs. 20% from MFIs).
• Builds savings discipline.

Disadvantages:

• Illiquid: Funds are locked for the cycle.
• Risk of default: If one member quits, others lose access.

6. Hybrid Models: Microfinance + Insurance

Example: Siddhartha’s Swasthya Sahayog Combines:

1. Microloan (NPR 20,000 for health businesses).
2. Health insurance (NPR 1,000/year coverage).

Worked Example: A Kathmandu Pharmacy Owner

• Loan: NPR 20,000 to buy medical supplies.
• Insurance: Covers NPR 50,000 if a fire destroys the shop.
• Impact: 90% of participants report higher resilience.

Visual: Hybrid Model Flow

flowchart TD
    A["Microloan (NPR 20K)"] --> B["Buy Supplies"]
    B --> C["Health Insurance (NPR 1K/year)"]
    C --> D["Covers NPR 50K in emergencies"]
    D --> E["Reduces financial shock"]

7. Comparing Models: Which Works Best?

8. Real-World Applications

In the Real World

1. eSewa’s Savings Groups

   • Idea: Uses ROSCA principles in its "Sewa Savings" feature.
   • How: Users pool NPR 100–500/month; after 6 months, each gets their total back.
   • Impact: 200,000+ users save regularly without interest costs.

2. Daraz’s Vendor Loans

   • Idea: Microcredit for small sellers (NPR 5,000–50,000).
   • How: Daraz partners with Federation Bank to offer 6-month loans at 18% interest.
   • Impact: 30,000+ vendors expanded inventory post-loan.

3. NMB’s Crop Insurance

   • Idea: Microinsurance for small farmers.
   • How: Covers 50% of crop loss (e.g., NPR 10,000 payout if 30% of maize fails).
   • Impact: 100,000+ farmers insured; reduced suicide rates by 30% in high-risk districts.

9. Exam Tip: How This Unit Is Tested

1. Case Studies (30%)

   • Expect Siddhartha/Samriddhi cases like in past exams.
   • Key focus: How the model (group vs. individual) reduced defaults.
   • Example question: "Analyze how Sita Kumari’s group loan from Samriddhi Foundation worked. Compare its success with an individual loan."

2. Definitions & Comparisons (25%)

   • Must know:
     • Difference between credit union and MFI.
     • Why ROSCAs have no interest.
   • Table-based questions: "Compare Group Lending and Credit Union models in terms of ownership, default risk, and interest rates."

3. Numerical Problems (20%)

   • Worked example format: "A ROSCA group of 8 members saves NPR 400/month. Calculate the total amount each member receives after 12 months." Solution: $$\text{Total per member}=8\text{ members}\times \text{NPR }400\times 12\text{ months}=\text{NPR }38,400$$

4. Application-Based (25%)

   • Link to Nepal:
     • "How can Federation Bank adopt a ROSCA model for its urban customers?"
     • "Why are credit unions more successful in rural Nepal than individual MFIs?"
   • Use real data:
     • Cite Siddhartha’s 70% women borrowers or NMB’s 50% crop coverage.

5. Short Answer Tricks

   • For "challenges" questions, list:
     1. Illiteracy (hard to track repayments).
     2. Over-indebtedness (e.g., Daraz vendors taking multiple loans).
     3. Seasonal income (farmers struggle in monsoon).
   • For "innovation" questions, mention:
     • Digital MFIs (eSewa’s instant loans).
     • Hybrid products (Siddhartha’s health + loan).

Final Note: Always tie answers to Nepal (e.g., Siddhartha, Federation Bank) and use models (group lending, ROSCA) as your framework. Past exams love case studies—practice analyzing them like the Sita Kumari example.