Monthly Archive August 22, 2018

Byadmin

Despite Increased Average Income, Farmers' Debt Remains an Issue

Part -1

Despite Increased Average Income, Farmers’ Debt Remains an Issue

While the average income for a farming household has increased to Rs 8,931, 50% of all households earned less than Rs 5,500 per month and more than 50% households remain indebted.

https://thewire.in/agriculture/despite-increased-average-income-farmers-debt-remains-an-issue

This is part one of a two-part series that critically analyses NABARD’s financial inclusion survey. Read part two here.
On August 16, the vice-chairman of Niti Aayog released NABARD’s All India Rural Financial Inclusion Survey, appropriately named ‘NAFIS’, which in Urdu means decent. NABARD management has truly acted ‘NAFIS’ by commissioning this detailed survey and then publishing its finding rather quickly. The survey was conducted between January 2017 and June 2017, covering 40,327 households in 245 districts spread across 29 states. The reference period for agriculture related data was from July 1, 2015 to June 30, 2016 (agriculture year, AY, 2015-16).
In its survey, NAFIS includes semi-urban places having a population of up to 50,000. At an all India level, NAFIS sample of households includes 84% rural and 16% urban households. But in several states, semi-urban households had a higher ratio (Kerala 57% and Tamil Nadu 40%). NAFIS defines an agricultural household as one that received value of produce exceeding Rs 5,000 during FY 2016 from agricultural activities. Other households were classified as non-agri households.
The National Sample Survey Office (NSSO), Ministry of Statistics and Programme Implementation, conducted a Situation Assessment Survey of Agricultural Households (SAS) in its 70th round (January – December, 2013). Data was collected from 4,529 villages in 35,200 households and it was published in December 2014 as ‘Key Indicators of Situation of Agricultural Households in India’. Semi urban areas were not included in this survey and an agricultural household was defined as one that had received Rs 3,000 as value of annual agricultural produce.

It is clear that the two surveys are not entirely similar and as compared to SAS, NAFIS may have overstated the income of households because its level of threshold income to be categorised as an agricultural household is 67% higher than under the NSSO survey.

NAFIS finds that the monthly income of agricultural households in AY 2016 was Rs 8,931. As per SAS, average monthly income of an agricultural household in January-December 2013 was Rs 6,426. Based on this data, a government committee on doubling of farm income (Dalwai Committee) calculated that an average agri-household earned Rs 8,059 in 2015-16.
Even though SAS and NAFIS data are not comparable, there is an impressive increase of 39% in nominal income of agri-households between 2012-13 and 2015-16. This is even before the government’s implementation of new schemes of crop insurance (Pradhan Mantri Fasal Bima Yojana), e-NAM, soil health cards, Pradhan Mantri Krishi Sinchai Yojana and announcement of substantial hike in MSPs (in Kharif 2018).

The Pradhan Mantri Fasal Bima Yojna is more a profit-making enterprise for private companies than an insurance scheme for farmers. Credit: Well-Bred Kannan (WBK Photography)/Flickr CC BY-NC-ND 2.0

The survey shows that incomes of agriculture households has increased on average. Credit: Well-Bred Kannan (WBK Photography)/Flickr CC BY-NC-ND 2.0

Income data presents a positive outlook
The data of income for states presents an even more positive outlook. In the three-year period, nominal monthly income of agri-households in Bihar increased from Rs 3,558 to Rs 7,175 (an increase of 101.6%) and in West Bengal from Rs 3,980 to Rs 7,756 in WB (increase of 94.9%). However, the income in J&K decreased from Rs 12,683 to Rs 9,355 per month, perhaps due to floods in September-October 2014. It is possible that agri-households in WB, a top performing state under MNREGS, may have earned relatively higher income from wages under the scheme. But Bihar continues to perform poorly under MNREGS and agri-households may have found employment in other states, which may have contributed to such a high increase in three years. In any case, wages under MNREGS in Bihar and WB in 2018-19 are Rs 168 and Rs 191 respectively, while the minimum wage fixed by these states are Rs 237 and Rs 234 respectively.
NAFIS has not provided segregated data of source of income of households for each state. Therefore, the real drivers of high growth in income of farmers in Bihar and WB remain unexplored. To get a fair sense of what is driving the income of agri-households in various states, we may have to wait for the next SAS and NAFIS, which will capture the data for AY 2018-19. One hopes that both the organisations will not change the methodology for collection of data so that actual progress in agriculture and in rural economy can be analysed.
NAFIS also provides information on distribution of households by monthly income. 50% of all households (in rural and semi-urban areas surveyed) earned less than Rs 5,500 per month in 2015-16. This low level of income confirms the impoverishment of rural areas and the urgency of increasing their income from sources other than cultivation of crops. The survey also shows that smaller the size of landholding in the household, larger is the share of income from livestock rearing. With rising incidents of violence against traders of animals, there is every possibility that future surveys of NSSO and NAFIS may show a decline in income from rearing of animals. It is likely to affect small and marginal farmers and landless households more adversely than other households.
This survey, like SAS earlier, confirms that wage labour provided 34% of income of agri-households. In case of marginal farmers, the share of wage labour was more than 40%. In case of non-agri households, 54% of income came from wage labour. It is clear that generating employment in labour intensive sectors like agro industries, construction and textiles is crucial for increasing the income of rural and semi-urban households. The downturn in construction industry would have hit the income of both agri and non-agri households and is likely to reflect in subsequent surveys.

The Swaminathan Commission mentioned that they were referring to C2 cost when making their recommendation. Credit: Navaneeth Kishor/Flickr CC BY 2.0

Due to rising incidents of violence against traders of animals, there is a possibility that future surveys may show a decline in income from rearing of animals. Credit: Navaneeth Kishor/Flickr CC BY 2.0

Savings and indebtedness
The NAFIS data on household savings is not only surprising but also reassuring. About 55% of agri-households informed that they had saved money in the previous year. The north-eastern states showed higher level of savings with more than 90% households confirming that they had saved. Surprisingly only 21% households in Punjab and 23% households in Haryana mentioned any savings. It is surprising that the states having highest income are saving the least. It is however heartening that 94% savings are in institutional agencies. Out of annual income of Rs 1.07 lakh, the agri-households saved Rs 9,657 which is a handsome 9% of annual income. Poor households in rural India are thus setting an example for showing a mirror to much better off urban India!
Another important finding of the survey is high level of indebtedness (defined as presence of any outstanding loan). Similar to level of indebtedness in SAS, about half (52.5%) of agri-households confirmed in NAFIS also that they were indebted. The level of indebtedness rose with the size of landholding in the household. Bihar (48%) and WB (37%) show much lower level of indebtedness than AP (76%) and Telangana (79%). Thus the correlation between indebtedness and suicides is rather clearly established. It is, however, a matter of further research why agri-households in these two states are so highly indebted.

Part 2:

Despite Penetration of Institutional Credit, Farmers Continue to Rely on Moneylenders

NABARD’s survey shows that lengthy procedure for sanction of loans by institutions, demand for collateral security and short term of crop loan were the reasons for farmers seeking loans from non-institutional sources.

As an institution providing refinance to cooperative and regional rural banks for agricultural credit, NABARD’s interest in understanding the extent and width of coverage of farmers for obtaining crop loans is only natural. NABARD therefore devotes several chapters in its All India Rural Financial Inclusion Survey (NAFIS), to financial issues (household savings, investments, indebtedness, insurance and pension, microfinance and financial knowledge) of agricultural and non-agricultural households. Since indebtedness of farmers is considered a major factor leading to farmer suicides, a detailed examination of the survey findings would be in order.
The All India Debt and Investment Survey conducted by NSSO in its 70th round had found that as on June 30, 2012, 35% of cultivator households were indebted. NAFIS finds that in AY 2015-16, 47% of agri-households were in debt. Though the sample in two surveys is different we get a sense of increasing penetration of credit to farmers.
Launched by the A.B. Vajpayee government in 1998, the kisan credit card (KCC) scheme enables farmers to get credit limit to purchase crop seeds, fertilisers, diesel and other inputs at 4% interest (if loans are repaid in time). The farmer can draw money to the extent of limit sanctioned, as per requirement and as many times as she wants. For every crop cycle, the farmer does not have to go to a cooperative or bank for sanction of loan. NAFIS found that only 10.5% agricultural households held a valid KCC.

The Situation Assessment Survey of Agricultural Households during the NSSO’s 70th round (January – December, 2013) had found that out of 15.6 rural households in the country, nine crore were agricultural households. According to a reply given in Lok Sabha on March 9, 2018, there were 2.77 crore active KCCs as on March 31, 2017. Even though NAFIS left out agricultural households earning less than Rs 5,000 per month from agri and allied operations, the penetration of KCCs at 10.5% appears rather low. In states having poor coverage of KCC, a massive drive of inclusion is required to disseminate benefits of borrowing through KCCs rather than going to money lenders for loans.

Indebtedness is one of the primary reasons for farmers’ suicide. Representational image. Credit: Katrin Park/Inernational Food Policy Research Institute

Borrowing from non-institutional sources
In a worrying finding from the survey, it is observed that 30.3% of agri-households still borrowed money from non-institutional sources like money lenders, relatives and input suppliers etc. About 9% agri-households borrowed from both institutional and non-institutional sources. In another encouraging sign of reducing dependence on money lenders, the NAFIS survey finds that out of average borrowing of Rs 1.07 lakh in AY 2015-16, agri-households borrowed about Rs 30,000 (28%) from non-institutional sources. Lengthy process for sanction of loans by institutions, demand for collateral security, and short term of (crop) loan were cited as reasons for seeking loans from non-institutional sources. NABARD has its task cut out for increasing the penetration to small and marginal farmers.
In another worrisome sign of dependence on money lenders, the NAFIS survey finds that out of average borrowing of Rs 1.07 lakh in AY 2015-16, agri-households borrowed about Rs 29,000 from non-institutional sources (27%). Lengthy procedure for sanction of loans by institutions, demand for collateral security and short term of (crop) loan were cited as reasons for seeking loans from non-institutional sources. NABARD has its task cut out for increasing the penetration to small and marginal farmers.
NAFIS also covers the penetration of crop insurance, finding that out of households which had taken any loan for agricultural operations, only 6.9% reported they had any crop insurance. It is thus a myth that banks deduct the insurance premium from all farmers who have taken loan on KCC. Premium is payable only on crops notified by the state government.
It is no surprise that only 1.7% of agri-households owning milch animals reported insurance for their livestock. The plight of uninsured agri-households who lost their animals and other agri-assets in the Kerala floods of August 2018 can only be imagined. In fact, while launching the Pradhan Mantri Fasal Bima Yojana (PMFBY), in April 2016, the government came up with a package insurance scheme under which in addition to crop insurance, the farmers had the option to buy insurance cover for fire, animals, pump set, tractor and personal accident. However insurance companies have not been successful in selling it due to high cost of marketing of diverse risks in a single insurance policy. The government has done well to keep premiums under PMFBY very low. Certain policy reforms in PMFBY and concerted effort by state governments (to conduct crop cutting experiments in a timely transparent manner) and insurance companies (to ensure timely settlement of claims) will surely result in increase in coverage of crop insurance and possibly other insurance products also.

Few farmers have insurance for their livestock. Credit: Reuters/Rajendra Jadhav

Reach of microfinance institutions
NABARD did well to seek information about reach of microfinance institutions (MFI) in meeting credit needs of households. At the national level, 23% of households had at least one member associated with an MFI, but the data is skewed. The all India average in high only because a few states like AP (61%), Telangana (65%), Odisha (44%) and Karnataka (40%) reported higher reach. UP, Rajasthan, Punjab and Haryana have less than 10% coverage of MFI. Odisha and Jharkhand (27%) have demonstrated that deep engagement with reputed NGOs (like Pradan) can help in increasing the reach of MFIs to even the most backward districts. The survey found that MFIs meet needs for personal loans for which institutional finance is not easily accessible.
Expansion of financial inclusion through Pradhan Mantri Jan Dhan Yojana has been one of the major achievements of Modi governments. About 32.17 crore accounts have been opened as on July 25, 2018. Out of these, 18.97 crore are in rural and semi-urban areas. But, in states like UP, where household earning is as low as Rs 6,668 per month, it is worthwhile to consider how many would deposit their cash income and then withdraw the same.
It is rather heartening that about 73% of survey respondents said they can use an ATM without anyone’s help and 52% can use internet banking. If it correctly reflects ground reality, it should be possible to switch to direct benefit of transfer (DBT) of food subsidy in states having high literacy, good road network and deep penetration of banks and telecom infrastructure. Rather than forcing beneficiaries to authenticate their identity through Aadhaar every month in states not having surplus food grains and poor internet infrastructure (like Jharkhand), the government should be switching to DBT in food surplus and developed states like Punjab, Haryana, AP and Karnataka.
A commendable attempt
NAFIS 2016-17 is a commendable attempt to collect and analyse data of rural and semi-urban India. There are several surprises in the survey and a more detailed analysis of data will require state level tables for every chapter covered in the report. In a vast country with acute disparities in literacy, income, availability of ground water, cropping pattern and marketing network, it is only natural that a uniform national strategy for agriculture sector will not work.
In March 2015, the government had set up a task force on agricultural development under Arvind Panagariya, then vice-chairman of Niti Aayog. Based on the work of the task force, a solitary paper titled ‘Raising Agricultural Productivity and Making Farming Remunerative for Farmers’ was published by Ramesh Chand in December 2015. The Niti Aayog had also asked states to set up state-level task forces to prepare reports suited to the specific state. Some states did prepare their reports, but the exercise was not pursued and a good opportunity to document the specific action points for each state was lost. This survey itself indicates that there are success stories in several states which need to be replicated in other states.

Siraj Hussain is former secretary of Agriculture and Farmers’ Welfare (GoI) and currently visiting senior fellow at ICRIER.

Byadmin

How doubling farm income just got even tougher

https://www.financialexpress.com/economy/how-doubling-farm-income-just-got-even-tougher/1285761/
By:  and  | 

Updated: August 20, 2018 7:04:38 AM

NABARD presented a gift to the nation on August 16, 2018, when it released results of its NABARD All India Rural Financial Inclusion Survey (NAFIS). Among other things, the Survey estimates 2015-16 farmers’ income levels.

farm income, NABARD, farmer income, economy, farming

NAFIS combines strengths of NSSO’s Situation Assessment Survey (SAS) and RBI’s All India Debt and Investment Survey (AIDIS).

NABARD presented a gift to the nation on August 16, 2018, when it released results of its NABARD All India Rural Financial Inclusion Survey (NAFIS). Among other things, the Survey estimates 2015-16 farmers’ income levels. When in February, 2016, PM Modi presented his vision of doubling farmer incomes (DFI) by 2022-23, there was no assessment of the base (2015-16) aggregate income levels, and now, estimates from NAFIS fill that gap. NAFIS is based on a sample of 40,327 rural households in 29 states, of which 48% were agriculture households (agri-HHs) and 87% of them were small and marginal farmer households. NAFIS combines strengths of NSSO’s Situation Assessment Survey (SAS) and RBI’s All India Debt and Investment Survey (AIDIS).

If NAFIS followed NSSO definitions, the 2015-16 estimate of farmers’ income would have been somewhat lower, and so would have been its growth rate (below 3.7%). The survey also estimates income of non-agri rural HH at `7,269/month, more than half of which comes from working as wage labourers. The overall weighted average monthly income of a rural HH is found to be `8,059/. Regarding financial aspects of these rural agri-HHs, NAFIS found for the reference year that about 43.5% borrowed money with the average availed loan of `1,07,083. 60.4% of these HHs borrowed from institutional sources, 30.3% from non-institutional and 9.3% from both. Close to 56% of loans were for non-agri purposes. More than half (52.5%) of agri-HHs were found to be indebted with an average outstanding debt of `1,04,602 for the year. Almost 88% of all rural HHs had bank accounts, and their monthly consumption expenditure on food was 51% of total expenditure.
What does this data mean for the PM’s dream of doubling farmers’ income (DFI)? The Dalwai committee, set up in April 2016 to advise on a strategy towards DFI by 2022, did not have any benchmark income levels for 2015-16. So, the committee derived them by applying yearly growth rates of state-wise net-state-domestic-product (NSDP) to NSSO estimates of 2012-13 income levels. For 2015-16, the committee found that average Indian agri-HH earned about `8,059 per month. This estimate is lower than that of NAFIS, which is at `8,931. In any case, to see what happened between 2002-03 and 2015-16, we compared nominal and real income levels and estimate state-wise growth rates.
The attached figure gives real income levels (at 2015-16 prices) for three years (NSSO’s 2002-03 and 2012-13 and NAFIS’s 2015-16) and growth rates for major states and pan-India. Comparing incomes, we find that Punjab, with `23,133, tops the list while UP, with `6,668, is at the bottom, with the all India average at `8,931. In terms of CAGR, Odisha tops with 8.4%, though from a low base, while J&K with -2.3% is at the bottom, due to an abnormal drop in income in 2015-16. All-India CAGR in farmers’ real income is 3.7%, which is roughly the same as the agri-GDP CAGR (3.6%) during the same period. In terms of sources of incomes, NAFIS offers interesting insights, particularly for the Dalwai committee. NAFIS estimates that in 2015-16, 35% of farmers’ income came from cultivation, 8% from livestock, 50% from wages and salaries, and 7% from non-farm sectors.
The year 2015-16 was a second consecutive drought year (rainfall in 2014 was 12% below normal, while that in 2015 was 14% below normal), and comparing it with NSSO’s 2012-13 structure, we find that income share from cultivation and livestock fell from 60% in 2012-13 to 43% in 2015-16. It appears that working as labourers is a fall-back option for the average farmer in drought years. Besides, increasing pressure with shrinking average holding size (NAFIS estimates it at 1.1 ha) is presumably forcing farmers to work as labourers to meet their needs. This is very different from what the Dalwai committee assumes, that 69-80% of farmers’ incomes by 2022-23 will be coming from farming of crops and animals. Interestingly, all three surveys were done in years facing deficit rains: rainfall in 2002-03 was 19.2% below normal, in 2012-13 it was 7.1% below normal and in 2015-16 it was 14% below normal. Thus, one wonders whether these surveys capture the true picture of agriculture and farmers.
Going forward, it would be better if NSSO and NABARD ensure that their next surveys belong to normal rainfall years. To achieve PM Modi’s dream of DFI by 2022-23, the Dalwai committee points out that farmers’ real incomes need to grow at 10.4% per annum, i.e., 2.8 times the growth rate achieved historically (3.7%). This sounds like a challenge to raise the country’s GDP growth from 7.2% to 20%! Is this really feasible? Examining various govt. policies and programs launched in the last 3-4 years, especially their implementation, be it crop-insurance, focus on irrigation (99 projects), new MSP formula of 50% above A2+FL cost, etc., does not give confidence that the DFI dream can be achieved by 2022-23, or even by 2025. It can possibly be done by 2030, unless the govt. undertakes drastic steps to augment farmers’ incomes at a faster pace.

Gulati is Infosys chair professor for agriculture and Saini is senior consultant at ICRIER