zeller peru bangladesh

25
1 Is There a Difference in Poverty Outreach by Type of Microfinance Institution? The Case of Peru and Bangladesh Manfred Zeller Institute of Agricultural Economics and Social Sciences in the Tropics and Subtropics University of Hohenheim, Stuttgart, Germany Julia Johannsen Institute of Rural Development Georg-August-University Göttingen, Germany Global Conference on ‘Access to Finance: Building Inclusive Financial Systems’ of The World Bank and the Brookings Institution in Washington, D.C., May 30 and 31, 2006

Upload: guest9c6821

Post on 12-Jul-2015

325 views

Category:

Economy & Finance


2 download

TRANSCRIPT

Page 1: Zeller Peru Bangladesh

1

Is There a Difference in Poverty Outreach by Type of

Microfinance Institution? The Case of Peru and Bangladesh

Manfred Zeller Institute of Agricultural Economics and Social Sciences in the

Tropics and Subtropics University of Hohenheim, Stuttgart, Germany

Julia JohannsenInstitute of Rural Development

Georg-August-University Göttingen, Germany

Global Conference on ‘Access to Finance: Building Inclusive Financial Systems’

of The World Bank and the Brookings Institution in Washington, D.C.,

May 30 and 31, 2006

Page 2: Zeller Peru Bangladesh

2

Outline of presentation

• Changing paradigms and policy objectives in development finance

• Types of financial institutions• Sampling design and poverty lines

• Poverty outreach of MFIs– Bangladesh– Peru (national and MFI sample)

• Conclusions

Page 3: Zeller Peru Bangladesh

3

The triangle of finance: Synergies and trade-offs

Outreach (Breadth and Depth)

Welfare impact (Direct/Indirect)

Financial sustainability

Source: Zeller, M., and Meyer, R.L. 2002. The triangle of microfinance: Financial sustainability, outreach, and impact. Book published by IPPRI/John Hopkins Univ, Dec. 2002.

Page 4: Zeller Peru Bangladesh

4

Types of financial institutions

• Semi-formal Institutions (NGO-MFIs)• Member-based institutions:

(1) Credit unions (2) Village banks (supported by NGOs)

• Micro-banks, lending technologies: Individual and solidarity group lending,linkage model (with pre-existing self-help groups)

• Other: (1) Public banks (sectoral, agricultural, rural) (2) private commercial banks with MF

windows

Page 5: Zeller Peru Bangladesh

5

Sampling design

• Nationally representative self-weighing sample of 800 households (IRIS Center)

• Multi-stage cluster sampling• Probability-proportionate-to-size (PPS) • Bangladesh: 10 counties (Thanas) in 5 divisions (x 80 hhs)• Peru: 8 of 24 departments (x 100 hhs), controlling for 7

geographic areas (rural/urban macro-regions):- Lima Metropolitan, Urban/Rural Coast, Urban/Rural

Highland, Urban/Rural Lowland

• Peru: 6 purposefully selected MFIs (1175 client hhs)

Page 6: Zeller Peru Bangladesh

6

Poverty lines in Peru

4.16

4.16

4.16

4.16

4.16

4.16

4.16

2.08

2.08

2.08

2.08

2.08

2.08

2.08

8.45

6.99

4.75

6.01

3.93

5.81

4.04

5.98

4.68

3.04

4.04

2.38

3.83

2.60

Lima Metrop.

Urban Coast

Rural Coast

Urban Highland

Rural Highland

Urban Highland

Rural Lowland

Internat. 2$ Poverty

Line

(Soles/pers/day)

Internat. $1 Poverty

Line

(Soles/pers/day)

National Poverty

Line

(Soles/pers/day)

Median Poverty

Line

(Soles/pers/day)

Expenditures July 2004

Region

Source: adapted from Zeller, Johannsen and Alcaraz (2005)

Regionally disaggregated national and median poverty line and international $2 and $1-poverty line

Page 7: Zeller Peru Bangladesh

7

Poverty lines in Bangladesh

23.10

23.10

23.10

23.10

23.10

23.10

23.10

23.10

22.96

17.05

21.84

20.94

24.85

19.47

20.16

17.57

24.80

22.24

27.77

27.06

30.22

23.18

25.97

21.90

Rural Dhaka

Rural Faridpur, Tangali, Jamalpur

Rural Sylhet, Comilla

Rural Noakhali, Chittagong

Urban Khulna

Rural Barishal, Pathuakali

Rural Rajshahi, Pabna

Rural Bogra, Rangpur, Dinajpur

Internat. $1 Poverty

Line

(Taka/pers/day)

Median Poverty

Line

(Taka/pers/day)

National Poverty

Line

(Taka/pers/day)

Expenditures July 2004

Region

Source: adapted from Zeller, Johannsen and Alcaraz (2005)

Regionally disaggregated national and median poverty line and $1-poverty line

Page 8: Zeller Peru Bangladesh

8

Gender and residence of clients in Bangladesh (N=2209 adults)

(100%)53.0% 47.0%21.6% 78.4%Total

49.6% 50.4%19.8% 80.2%Non-clients

2.7%53.8% 46.2%69.2% 30.8%Other (private bank, coop, etc.)

4.7%54.2% 45.8%8.3% 91.7%Other governmental institution providing microfinance

28.7%7.6% 92.4%16.0% 84.0%Public bank

63.9%90.5% 9.5%32.6% 67.4%NGOs providing microfinance

Share (%) of total

clients

Sex of client

FEMALE MALE

Does client live in rural area?

NO YESMain type of financial institution

Page 9: Zeller Peru Bangladesh

9

Poverty outreach in Bangladesh

27.835.116.637.2MeanTotal (N=2209)

28.135.716.537.1MeanNon-clients (N=1700)

30.830.830.839.2MeanOther (private bank, coop, etc.)

8.38.38.352.7MeanOther government institutions providing microfinance(N=24)

16.725.07.642.2MeanPublic bank (N=144)

32.338.721.034.6MeanNGOs providing microfinance (N=328)

Below the internat.

Poverty line ($PPP 1.08

at 1993 prices)

Below the national

poverty line (adj. by

regions)(%)

Below the median

poverty line (adj. by

regions)(%)

Daily expenditures

per capita (Taka)

Main type of financial institution

Page 10: Zeller Peru Bangladesh

10

Poverty by length of membership

27.835.116.637.2MeanTotal (N=2209)

28.135.616.537.1MeanNon-clients (N=1700)

17.020.18.842.8MeanLonger than five years

(N=159)

29.038.520.037.4MeanTwo to Five years

(N=200)

34.040.021.332.7MeanLess than two years

(N=150)

Below the internat.

Poverty line ($PPP 1.08

at 1993 prices)

Below the national

poverty line (adj. by regions)

(%)

Below the median

poverty line (adj. by

regions) (%)

Daily expenditures

per capita (Taka)

Length of client relationship (in approx. terciles)

Page 11: Zeller Peru Bangladesh

11

Gender and residence of clients in Peru (N=2325 adults)

(100.0%)48.6% 51.4%71.0% 29.0%Total

47.0% 53.0%70.1% 29.9%Non-clients

16.6%72.0% 28.0%72.0% 28.0%Other (NGO, rural savings banks, coop, etc.)

23.2%77.1% 22.9%74.3% 25.7%Municipal Savings and Loan Banks (CMACs)

37.7%75.4% 25.7%93.0% 7.0%Private banks (including micro-banks such as MiBanco)

22.5%58.8% 41.2%88.2% 11.8%Public bank (Banco de la Nacion)

Share (%) of total

clients

Sex of client

FEMALE MALE

Does client live in rural

area?

NO YES

Main type of financial institution

Page 12: Zeller Peru Bangladesh

12

Poverty outreach in Peru

9.1

9.6

8.0

0.0

0.0

2.9

Below the internat. Poverty

line($PPP 1.08 at 1993

prices)

32.051.728.07.4MeanTotal (N=2325)

33.553.629.27.2MeanNon-clients (N=2174)

20.028.08.010.3MeanOther (NGO, rural savings bank, coop, etc.) (N=25)

2.925.70.09.4MeanMunicipal Savings and Loan Banks (N=35)

3.521.18.811.8MeanPrivate banks (including MiBanco) (N=57)

23.526.523.510.2MeanPublic bank (Banco de la Nacion) (N=34)

Below the internat. Poverty

line($PPP 2.16 at 1993

prices)

Below the national poverty line(adj.

by regions)

(%)

Below the median poverty line(adj.

by regions)

(%)

Daily expenditures

per capita (Soles)

Main type of financial institution

Page 13: Zeller Peru Bangladesh

13

Poverty rate, by participation in formal savings

32.510.050.426.97.6MeanTotal (N=800)

11.42.921.45.712.8MeanYES (N=70)

34.510.753.228.97.0MeanNO (N=730)

Below the internat. Poverty

line($PPP 2.16 at 1993

prices)

Below the internat. Poverty

line($PPP 1.08 at 1993

prices)

Below the national poverty line(adj.

by regions)

(%)

Below the median poverty line(adj.

by regions)

(%)

Daily expenditures

per capita (Soles)

Household has a formal savings account

Page 14: Zeller Peru Bangladesh

14

6 selected MFIs

• EDYFICAR, registered NGO (non-bank financial institution, only credit)

• CRAC Cruz de Chalpon (rural savings and loan bank)

• CMAC Chincha (municipal savings and loan bank)• Coop San Isidro Huaral (cooperative)• Coop San Pedro Andahuaylas (cooperative)• CARITAS (NGO)

• none with explicit women targeting• only San Pedro and Caritas with rural/poverty

targeting objective

Page 15: Zeller Peru Bangladesh

15

Poverty outreach of 6 MFIs

44.543.516.06.4Coop San Pedro Andahuaylas (N=200)

1.515.54.012.2Coop San Isidro Huaral (N=200)

6.022.05.510.3Caritas (N=200)

6.038.58.010.2CMAC Chinca (N=200)

9.723.412.611.5CRAC Cruz de Chalpon (N=175)

2.541.016.510.7Edyficar (N=200)

Below the internat.

Poverty line ($PPP 2.16 at 1993 prices)

Below the national

poverty line (adj. by

regions) (%)

Below the median

poverty line (adj. by

regions) (%)

Daily expenditures

per capita (Soles)

Main type of financial institution

Page 16: Zeller Peru Bangladesh

16

Conclusions-1

• Main institution types in samples (legal status):- (semi-formal) NGOs/solidarity groups,

cooperatives (member-based, peer pressure) - public banks, private banks, micro-banks

(information asymmetry)• Bangladesh: 46% client households

- NGOs! (solidarity group lending)• Peru: 19% client households

- heterogeneous sector (transformed in 90s, micro-banks!)

Page 17: Zeller Peru Bangladesh

17

Conclusions-2

• Bangladesh: higher breadth of outreach! - microfinance since 1970s- high population density, low administrative costs

• Peru:- mistrust in formal institutions: inflations 1980s (savings

losses!), guerilla war 1980s-90s- heterogeneous geography (Andes, rainforest)

• Bangladesh: higher depth of outreach, NGO-MFIs! Peru: cooperatives!

- length of membership: 5 yrs vs. 3 yrs (Peru)->mutual trust

- declining poverty pattern with increasing length of membership

Page 18: Zeller Peru Bangladesh

18

Conclusions-3

• Bangladesh: 29% saving hhs, Peru: 9% • mainly demand constraints by poor for existing

savings products

-> Does institution type really matter? - mission!: management emphasis (triangle!)- ownership -> social investors- targeting strategy: rural, women, poor; instruments?

- social capital/ pressure (member-based institutions)

Page 19: Zeller Peru Bangladesh

19

THIS IS THE END …

Page 20: Zeller Peru Bangladesh

20

Old versus new paradigm• Old paradigm of sector-directed, supply-led

and subsidized credit:– faulty assumptions about demand (i.e. “need”)– focus not on financial sustainability of institution, but on

(depth) of outreach. Impact was assumed.

• New paradigm: – focus on institution and systems building – liberalization of financial markets as necessary but not

sufficient condition for deepening financial systems need institutional and technological innovations to reduce transaction costs

– Demand orientation, three objectives

Page 21: Zeller Peru Bangladesh

21

Relative poverty outreach of Grameen Bank, by expenditure terciles

100.0%Total

31.6%3

33.3%2

35.1%1

Client households of Grameen Bank

Tercile of daily per-capita expenditures from geographic subsample of

nationally representative sample (N=400)

Page 22: Zeller Peru Bangladesh

22

Relative poverty outreach of BRAC, by expenditure terciles

100.0%Total

20.0%3

32.0%2

48.0%1

Client households of BRAC

Tercile of daily per-capita expenditures from geographic subsample of

nationally representative sample (N=559)

Page 23: Zeller Peru Bangladesh

23

Relative poverty outreach in Bangladesh

21.5%

19.9%

19.2%

21.3%

18.2%

100.0%

24.1% 7.3% 37.5%

22.8% 18.7%

21.5% 21.1% 25.0%

16.2% 21.1% 25.0% 37.5%

15.4% 31.7% 50.0% 25.0%

100.0% 100.0% 100.0% 100.0%

1

2

3

4

5

Total

Non-clients

(N= 428)

Main type of financial institution

NGOs Public Other government Other

providing bank institution (private

microfinance providing bank,

microfinance coop, etc.)

(N=228) (N=123) (N=12) (N=8)

Quintile of daily per-capita expenditures from nationally representative sample

Page 24: Zeller Peru Bangladesh

24

Relative poverty outreach in Peru

22.4%

21.1%

19.7%

18.6%

18.1%

100%

8.7% 11.8%

26.1% 7.9% 3.7% 17.6%

23.6% 40.7% 11.8%

43.5% 18.4% 29.6% 35.3%

21.7% 47.4% 25.9% 23.5%

100.0% 100.0% 100.0% 100.0%

1

2

3

4

5

Total

Non-clients

Main type of financial institution

Public bank Private banks Municipal Other

(Banco de (includes Savings and (NGO, rural

la Nacion) micro-banks) Loan Bank savings bank,

(CMACs) coop, etc.)

Quintile of daily per-capita expenditures from nationally representative sample (N=800)

Page 25: Zeller Peru Bangladesh

25

Poverty by length of membership

32.09.151.728.07.4MeanTotal (N=2325)

33.59.653.629.27.2MeanNon-clients (N=2174)

9.80.013.77.812.6MeanLonger than 1 year and 7 months (N=51)

8.24.126.510.210.2MeanLonger than 1 year and less than or equal to 1 year and 7 months (N=49)

13.71.033.311.89.1MeanLess than or equal to 1 year (N=51)

Below the internat. Poverty

line($PPP 2.16 at 1993

prices)

Below the internat. Poverty

line($PPP 1.08 at 1993

prices)

Below the national poverty line(adj.

by regions)

(%)

Below the median poverty line(adj.

by regions)

(%)

Daily expenditures

per capita (Soles)

Length of client relationship (in approx. Tercile ranges)