Cmf access to_finance_rural_powerpoint_march14_final[1]
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Cmf access to_finance_rural_powerpoint_march14_final[1]
- 1. Centre for Micro Finance at IFMR Research Access to Finance in Andhra Pradesh Doug Johnson and Sushmita Meka Presented by: Santadarshan Sadhu and Ajaykumar Tannirkulam
- 8. BORROWING
- 11. Extent of Indebtedness by Source: Median Loan Outstanding (INR)
- 12. Informal Loans Major Source Sub-source Estimated Share of households with loan from source based on Access to Finance Survey Informal Moneylender 17% Friends (with interest) 53% Friends (no interest) 9% Employer 3% Landlord 21% unknown sub-source 1% Any one of the informal sources 82%
- 14. Debt Outstanding by Occupation Household Profile Percentage with outstanding loan Mean Outstanding Median Outstanding Landless Laborer 89% 36,933 21,600 Commercial 90% 57,948 33,680 Farmer - Marginal 97% 54,446 37,450 Farmer - Small 96% 77,728 53,000 Farmer - Large 95% 110,534 82,000 Other 85% 48,412 29,500
- 18. Households with Multiple Loans from a Given Source
- 19. Multiple Borrowing by Active Clients of a Given Source
- 21. Non-Routine Expenditures Top 5 Non-routine Expenditures Non-routine Expenditure Share of Households which Incurred Major Expenditure on Item in past 6 Months Health 36% Festival or special event aside from marriage 11% Marriage 11% Buy agricultural machinery or inputs 10% Home improvement/repair/construction 7% Any non-routine expenditure 64%
- 22. Non-Routine Expenditure: Source of Funding Top 5 Non-routine Expenditures Source of Funding Non-routine Expenditure Share of Households which Incurred Major Expenditure on Item in past 6 Months Loan from friends/relatives 43% Own income or savings 29% Loan from moneylender 13% Loan from landlord 11% Loan from MFI/SHG 6%
- 24. State of Financial Inclusion in Rural AP
- 25. Occupational Classification Category Description Farmer (Marginal) Farming households owning less than one acre of land Farmer (Small) Farming households between one and four acres of land Farmer (Large) Farming households owning more than four acres of land Commercial Non-farming households which relied on salaried employment or an own business Landless Labor Non-farming, non-commercial households which relied on wage labour Other All households not falling into any of the above categories
- 26. Access to Formal Savings - 2003 vs. 2009 Percentage of Households with Savings Account
- 28. Stated Reasons for Opening Savings Account
- 29. Share of Rural AP Households with a Savings Account by Bank Type Share of Households with a Savings Account Share of Households with a Savings Account (excluding 0 and Rs 50 balance accts)* Private Sector Bank 1% 1 % Public Sector Bank 41 % 36 % Regional Rural Bank 14 % 13 % Cooperative Bank 14 % 12 % Post Office 42 % 11 % Any of the above 78% 61 %
- 31. Stated Reasons for not having a Savings Account
- 35. Reasons for not having insurance Reason Percent of household Expensive 73 Not useful 4 Don’t know how to obtain 11 No idea 8 Too difficult 2 Documentation 2
- 37. Thank you
Notes de l'éditeur
- Districts were divided into four strata based on the following two variables: The estimated share of rural households falling under the official poverty line obtained from Chaudhuri and Gupta (2009) The estimated share of adult women belonging to a microfinance group based on data collected from MFIs by the Centre for Microfinance. Within each stratum, two districts were selected with simple random sampling without replacement. Village selection: Within each district, villages were selected using stratified random sampling. In all districts except for Ranga Reddy, villages were divided into four strata based on the distance to the nearest bank branch according to the village directory data of the 2001 census. In Ranga Reddy district, where a bank branch is present in all villages, villages were divided into four strata based on the distance to the nearest town. Within each stratum, two villages were selected with probability proportional to size (based on number of households) without replacement. Household selection: Within each village, 30 households were selected using simple random sampling without replacement. A village mapping exercise was conducted to enumerate all households living in the village. In cases where the survey team was unable to locate a sample household a replacement household was randomly selected from the list. (Replacement households may be identified by use of the variable “replacement” in the dataset.)
- Median indebtedness including all loans =42000
- 70% of all households have at least two loan outstanding from informal sources while 3% of all households have two or more loan outstanding from MFIs 10% of all households have at least two loan outstanding from Banks while 9% of all households have two or more loan outstanding from SHGs
- Where do households finance these expenditures. 43% of them borrow from friends or relatives 29% use their own income or savings, 13 percent of them take a loan from a moneylender, 11% from a landlord and 6% loan from MFIs and SHGs.
- Where do households finance these expenditures. 43% of them borrow from friends or relatives 29% use their own income or savings, 13 percent of them take a loan from a moneylender, 11% from a landlord and 6% loan from MFIs and SHGs.
- Rates of borrowing for all groups are high (Generally above 90%) Savings access seems related to socioeconomic status with landlless labourers having the lowest access relative to other groups. Large farmers disproportionately use formal sources for borrowing.
- As you can see only 14% of respondents opened a savings account so that they could save. Instead 31% and 48% opened an account in order to access loans or government benefits. You might think, Why does it matter why somebody opened an account. Sure enough we find that those who oepned an account to receive government benefits are more likely to have dormant accounts.
- 5% of the households with Arogyasri health insurance received medical treatment and one third of them paid out of pocket expenses