Applications for the LAMP Fellowship 2025-26 will open on December 1, 2024. Sign up here to be notified when applications open.
Recently, the government announced that it plans to transfer benefits under various schemes directly into the bank accounts of individual beneficiaries. Benefits can be the Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGS) wages, scholarships, pensions and health benefits. Beneficiaries shall be identified through the Aadhaar number (Aadhaar is an individual identification number linked to a person’s demographic and biometric information). The direct cash transfer (DCT) system is going to be rolled out in 51 districts, starting January 1, 2013. It will later be extended to 18 states by April 1, 2013 and the rest by April 1, 2014 (or earlier). Presently, 34 schemes have been identified in 43 districts to implement the DCT programme. Currently, the government subsidises certain products (food grains, fertilizers, water, electricity) and services (education, healthcare) by providing them at a lower than market price to the beneficiaries. This has led to problems such as high fiscal deficit, waste of scarce resources and operational inefficiencies. The government is considering replacing this with an Aadhaar enabled DCT system. It has claimed that the new system would ensure timely payment directly to intended beneficiaries, reduce transaction costs and leakages. However, many experts have criticised both the concept of cash transfer as well as Aadhaar (see here, here, here and here). In this blog, we provide some background information about cash transfer, explain the concept of Aadhaar and examine the pros and cons of an Aadhaar enabled direct cash transfer system. Background on cash transfer Under the direct cash transfer (DCT) scheme, government subsidies will be given directly to the beneficiaries in the form of cash rather than goods. DCTs can either be unconditional or conditional. Under unconditional schemes, cash is directly transferred to eligible households with no conditions. For example, pension schemes. Conditional cash transfers provide cash directly to poor households in response to the fulfillment of certain conditions such as minimum attendance of children in schools. DCTs provide poor families the choice of using the cash as they wish. Having access to cash also relieves some of their financial constraints. Also, DCTs are simpler in design than other subsidy schemes. Even though cash transfer schemes have a high fixed cost of administration when the programme is set up, running costs are far lower (see here, here and here). Presently, the government operates a number of DCT schemes. For example, Janani Suraksha Yojana, Indira Awas Yojana and Dhanalaksmi scheme. In his 2011-12 Budget speech, the then Finance Minister, Pranab Mukherjee, had stated that the government plans to move towards direct transfer of cash subsidy for kerosene, Liquified Petroleum Gas (LPG), and fertilizers. A task force headed by Nandan Nilekani was set up to work out the modalities of operationalising DCT for these items. This task force submitted its report in February 2012. The National Food Security Bill, 2011, pending in Parliament, includes cash transfer and food coupons as possible alternative mechanisms to the Public Distribution System. Key features of Aadhaar The office of Unique Identification Authority of India (UIDAI) was set up in 2009 within the Planning Commission. In 2010, the government later introduced the National Identification Authority of India Bill in Parliament to give statutory status to this office.
For a PRS analysis of the Bill, see here. Aadhaar enabled direct cash transfers Advantages Identification through Aadhaar number: Currently, the recipient has to establish his identity and eligibility many times by producing multiple documents for verification. The verification of such documents is done by multiple authorities. An Aadhaar enabled bank account can be used by the beneficiary to receive multiple welfare payments as opposed to the one scheme, one bank approach, followed by a number of state governments. Elimination of middlemen: The scheme reduces chances of rent-seeking by middlemen who siphon off part of the subsidy. In the new system, the cash shall be transferred directly to individual bank accounts and the beneficiaries shall be identified through Aadhaar. Reduction in duplicate and ghost beneficiaries: The Aadhaar number is likely to help eliminate duplicate cards and cards for non-existent persons or ghost beneficiaries in schemes such as the PDS and MNREGS. Disadvantages Lack of clarity on whether Aadhaar is mandatory: According to UIDAI, it is not mandatory for individuals to get an Aadhaar number. However, it does not prevent any service provider from prescribing Aadhaar as a mandatory requirement for availing services. Therefore, beneficiaries may be denied a service if he does not have the Aadhaar number. It is noteworthy that the new direct cash transfer policy requires beneficiaries to have an Aadhaar number and a bank account. However, many beneficiaries do not yet have either. (Presently, there are 229 million Aadhaar number holders and 147 million bank accounts). Targeting and identification of beneficiaries: According to the government, one of the key reasons for changing to DCT system is to ensure better targeting of subsidies. However, the success of Aadhaar in weeding out ‘ghost’ beneficiaries depends on mandatory enrollment. If enrollment is not mandatory, both authentication systems (identity card based and Aadhaar based) must coexist. In such a scenario, ‘ghost’ beneficiaries and people with multiple cards will choose to opt out of the Aadhaar system. Furthermore, key schemes such as PDS suffer from large inclusion and exclusion errors. However, Aadhaar cannot address errors in targeting of BPL families. Also, it cannot address problems of MNREGS such as incorrect measurement of work and payment delays. Safeguard for maintaining privacy: Information collected when issuing Aadhaar may be misused if safeguards to maintain privacy are inadequate. Though the Supreme Court has included privacy as part of the Right to Life, India does not have a specific law governing issues related to privacy. Also, the authority is required to maintain details of every request for authentication and the response provided. However, maximum duration for which such data has to be stored is not specified. Authentication data provides insights into usage patterns of an Aadhaar number holder. Data that has been recorded over a long duration of time may be misused for activities such as profiling an individual’s behaviour.
The percentage of the population living below the poverty line in India decreased to 22% in 2011-12 from 37% in 2004-05, according to data released by the Planning Commission in July 2013. This blog presents data on recent poverty estimates and goes on to provide a brief history of poverty estimation in the country. National and state-wise poverty estimates The Planning Commission estimates levels of poverty in the country on the basis of consumer expenditure surveys conducted by the National Sample Survey Office (NSSO) of the Ministry of Statistics and Programme Implementation.
The current methodology for poverty estimation is based on the recommendations of an Expert Group to Review the Methodology for Estimation of Poverty (Tendulkar Committee) established in 2005. The Committee calculated poverty levels for the year 2004- 05. Poverty levels for subsequent years were calculated on the basis of the same methodology, after adjusting for the difference in prices due to inflation. Table 1 shows national poverty levels for the last twenty years, using methodology suggested by the Tendulkar Committee. According to these estimates, poverty declined at an average rate of 0.74 percentage points per year between 1993-94 and 2004-05, and at 2.18 percentage points per year between 2004-05 and 2011-12. Table 1: National poverty estimates (% below poverty line) (1993 - 2012)
| Year |
Rural |
Urban |
Total |
| 1993 – 94 |
50.1 |
31.8 |
45.3 |
| 2004 – 05 |
41.8 |
25.7 |
37.2 |
| 2009 – 10 |
33.8 |
20.9 |
29.8 |
| 2011 – 12 |
25.7 |
13.7 |
21.9 |
Source: Press Note on Poverty Estimates, 2011 – 12, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; PRS. State-wise data is also released by the NSSO. Table 2 shows state-wise poverty estimates for 2004-05 and 2011-12. It shows that while there is a decrease in poverty for almost all states, there are wide inter-state disparities in the percentage of poor below the poverty line and the rate at which poverty levels are declining. Table 2: State-wise poverty estimates (% below poverty line) (2004-05, 2011-12)
| State |
2004-05 |
2011-12 |
Decrease |
| Andhra Pradesh |
29.9 |
9.2 |
20.7 |
| Arunachal Pradesh |
31.1 |
34.7 |
-3.6 |
| Assam |
34.4 |
32 |
2.4 |
| Bihar |
54.4 |
33.7 |
20.7 |
| Chhattisgarh |
49.4 |
39.9 |
9.5 |
| Delhi |
13.1 |
9.9 |
3.2 |
| Goa |
25 |
5.1 |
19.9 |
| Gujarat |
31.8 |
16.6 |
15.2 |
| Haryana |
24.1 |
11.2 |
12.9 |
| Himachal Pradesh |
22.9 |
8.1 |
14.8 |
| Jammu and Kashmir |
13.2 |
10.4 |
2.8 |
| Jharkhand |
45.3 |
37 |
8.3 |
| Karnataka |
33.4 |
20.9 |
12.5 |
| Kerala |
19.7 |
7.1 |
12.6 |
| Madhya Pradesh |
48.6 |
31.7 |
16.9 |
| Maharashtra |
38.1 |
17.4 |
20.7 |
| Manipur |
38 |
36.9 |
1.1 |
| Meghalaya |
16.1 |
11.9 |
4.2 |
| Mizoram |
15.3 |
20.4 |
-5.1 |
| Nagaland |
9 |
18.9 |
-9.9 |
| Odisha |
57.2 |
32.6 |
24.6 |
| Puducherry |
14.1 |
9.7 |
4.4 |
| Punjab |
20.9 |
8.3 |
12.6 |
| Rajasthan |
34.4 |
14.7 |
19.7 |
| Sikkim |
31.1 |
8.2 |
22.9 |
| Tamil Nadu |
28.9 |
11.3 |
17.6 |
| Tripura |
40.6 |
14.1 |
26.5 |
| Uttar Pradesh |
40.9 |
29.4 |
11.5 |
| Uttarakhand |
32.7 |
11.3 |
21.4 |
| West Bengal |
34.3 |
20 |
14.3 |
| All Inda |
37.2 |
21.9 |
15.3 |
Source: Review of Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission, Government of India; Press Note on Poverty Estimates, 2011 – 12 (2013) Planning Commission, Government of India; PRS. Note: A negative sign before the number in column four (decrease) indicates an increase in percentage of population below the poverty line. History of poverty estimation in India Pre independence poverty estimates: One of the earliest estimations of poverty was done by Dadabhai Naoroji in his book, ‘Poverty and the Un-British Rule in India’. He formulated a poverty line ranging from Rs 16 to Rs 35 per capita per year, based on 1867-68 prices. The poverty line proposed by him was based on the cost of a subsistence diet consisting of ‘rice or flour, dhal, mutton, vegetables, ghee, vegetable oil and salt’. Next, in 1938, the National Planning Committee (NPC) estimated a poverty line ranging from Rs 15 to Rs 20 per capita per month. Like the earlier method, the NPC also formulated its poverty line based on ‘a minimum standard of living perspective in which nutritional requirements are implicit’. In 1944, the authors of the ‘Bombay Plan’ (Thakurdas et al 1944) suggested a poverty line of Rs 75 per capita per year. Post independence poverty estimates: In 1962, the Planning Commission constituted a working group to estimate poverty nationally, and it formulated separate poverty lines for rural and urban areas – of Rs 20 and Rs 25 per capita per year respectively. VM Dandekar and N Rath made the first systematic assessment of poverty in India in 1971, based on National Sample Survey (NSS) data from 1960-61. They argued that the poverty line must be derived from the expenditure that was adequate to provide 2250 calories per day in both rural and urban areas. This generated debate on minimum calorie consumption norms while estimating poverty and variations in these norms based on age and sex. Alagh Committee (1979): In 1979, a task force constituted by the Planning Commission for the purpose of poverty estimation, chaired by YK Alagh, constructed a poverty line for rural and urban areas on the basis of nutritional requirements. Table 3 shows the nutritional requirements and related consumption expenditure based on 1973-74 price levels recommended by the task force. Poverty estimates for subsequent years were to be calculated by adjusting the price level for inflation. Table 3: Minimum calorie consumption and per capita consumption expenditure as per the 1979 Planning Commission task force on poverty estimation
| Area | Calories | Minimum consumption expenditure (Rs per capita per month) |
| Rural | 2400 | 49.1 |
| Urban | 2100 | 56.7 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; PRS Lakdawala Committee (1993): In 1993, an expert group constituted to review methodology for poverty estimation, chaired by DT Lakdawala, made the following suggestions: (i) consumption expenditure should be calculated based on calorie consumption as earlier; (ii) state specific poverty lines should be constructed and these should be updated using the Consumer Price Index of Industrial Workers (CPI-IW) in urban areas and Consumer Price Index of Agricultural Labour (CPI-AL) in rural areas; and (iii) discontinuation of ‘scaling’ of poverty estimates based on National Accounts Statistics. This assumes that the basket of goods and services used to calculate CPI-IW and CPI-AL reflect the consumption patterns of the poor. Tendulkar Committee (2009): In 2005, another expert group to review methodology for poverty estimation, chaired by Suresh Tendulkar, was constituted by the Planning Commission to address the following three shortcomings of the previous methods: (i) consumption patterns were linked to the 1973-74 poverty line baskets (PLBs) of goods and services, whereas there were significant changes in the consumption patterns of the poor since that time, which were not reflected in the poverty estimates; (ii) there were issues with the adjustment of prices for inflation, both spatially (across regions) and temporally (across time); and (iii) earlier poverty lines assumed that health and education would be provided by the State and formulated poverty lines accordingly.[1] It recommended four major changes: (i) a shift away from calorie consumption based poverty estimation; (ii) a uniform poverty line basket (PLB) across rural and urban India; (iii) a change in the price adjustment procedure to correct spatial and temporal issues with price adjustment; and (iv) incorporation of private expenditure on health and education while estimating poverty. The Committee recommended using Mixed Reference Period (MRP) based estimates, as opposed to Uniform Reference Period (URP) based estimates that were used in earlier methods for estimating poverty.[2] It based its calculations on the consumption of the following items: cereal, pulses, milk, edible oil, non-vegetarian items, vegetables, fresh fruits, dry fruits, sugar, salt & spices, other food, intoxicants, fuel, clothing, footwear, education, medical (non-institutional and institutional), entertainment, personal & toilet goods, other goods, other services and durables. The Committee computed new poverty lines for rural and urban areas of each state. To do this, it used data on value and quantity consumed of the items mentioned above by the population that was classified as poor by the previous urban poverty line. It concluded that the all India poverty line was Rs 446.68 per capita per month in rural areas and Rs 578.80 per capita per month in urban areas in 2004-05. The following table outlines the manner in which the percentage of population below the poverty line changed after the application of the Tendulkar Committee’s methodology. Table 4: Percentage of population below poverty line calculated by the Lakdawala Committee and the Tendulkar Committee for the year 2004-05
| Committee |
Rural |
Urban |
Total |
| Lakdawala Committee |
28.3 |
25.7 |
27.5 |
| Tendulkar Committee |
41.8 |
27.5 |
37.2 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty, 2009, Planning Commission; PRS The Committee also recommended a new method of updating poverty lines, adjusting for changes in prices and patterns of consumption, using the consumption basket of people close to the poverty line. Thus, the estimates released in 2009-10 and 2011-12 use this method instead of using indices derived from the CPI-AL for rural areas and CPI-IW for urban areas as was done earlier. Table 5 outlines the poverty lines computed using the Tendulkar Committee methodology for the years 2004-05, 2009-10 and 2011-12. Table 5: National poverty lines (in Rs per capita per month) for the years 2004-05, 2009-10 and 2011-12
| Year |
Rural |
Urban |
| 2004-05 |
446.7 |
578.8 |
| 2009-10 |
672.8 |
859.6 |
| 2011-12 |
816.0 |
1000.0 |
Source: Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; Poverty Estimates 2009-10 and Poverty Estimates 2011-12, Planning Commission; PRS Rangarajan Committee: In 2012, the Planning Commission constituted a new expert panel on poverty estimation, chaired by C Rangarajan with the following key objectives: (i) to provide an alternate method to estimate poverty levels and examine whether poverty lines should be fixed solely in terms of a consumption basket or if other criteria are also relevant; (ii) to examine divergence between the consumption estimates based on the NSSO methodology and those emerging from the National Accounts aggregates; (iii) to review international poverty estimation methods and indicate whether based on these, a particular method for empirical poverty estimation can be developed in India, and (iv) to recommend how these estimates of poverty can be linked to eligibility and entitlements under the various schemes of the Government of India. The Committee is expected to submit its report by 2014.
[1] While private expenditure on education and health was covered in the base year 1973-74, no account was taken of either the increase in the proportion of these in total expenditure over time or of their proper representation in available price indices.
[2] Under the URP method, respondents are asked to detail consumption over the previous 30 days; whereas under the MRP method five low-frequency items (clothing, footwear, durables, education and institutional health expenditure) are surveyed over the previous 365 days, and all other items over the previous 30 days.
