Why Have Some States Lost Interest in the Centre’s Flagship Crop Insurance Scheme?

The Pradhan Mantri Fasal Bima Yojana programme will complete five years when rabi crops are harvested in March-April 2021. But it’s been a bumpy ride for most of the way so far.

Out of all the ‘Pradhan Mantri’ schemes launched over the last few years – and there have been quite a few – none has received as much criticism as the PM Fasal Bima Yojana (PMFBY).

Due to the variety of crops even within a cluster, the small size of farms, differences in farming practices, uncertainty of weather and budgetary constraints of state governments, there is no central scheme which is more difficult to administer than this.

To its credit, the government has been responsive to the criticism and the scheme guidelines have undergone major changes twice, in September 2018 and February 2020.

Launched from Kharif 2016, the scheme has now been implemented for four seasons each of kharif and rabi. There have been three major criticisms of the scheme.

The first is that, at an all-India level, the claims paid by insurance companies are less than the gross premium received by them and this, critics say, resulted in ‘undue’ enrichment.

The second form of criticism is that the scheme is compulsory for all farmers who avail crop loans on their Kisan Credit Cards.

The third major criticism is that the assessment of crop losses is done through a large number of crop cutting experiments (CCEs) conducted by state governments. Not only are these CCEs quite time-consuming, they are also not reliable enough. In several cases, the yield data produced by CCEs has been challenged by both farmers and insurance companies. In several cases, the Government had to take the services of Mahalanobis National Crop Forecast Centre to resolve the disputes on yield of a crop.

Also read: Govt Revamps PMFBY Crop Insurance Scheme, Makes Farmer Registration Voluntary

The guidelines issued by the Centre in February 2020 have sought to address the above criticisms by making at least three major changes in the scheme.

Firstly, from Kharif 2020, the scheme was made voluntary and the farmers were given an option to opt out of crop insurance by submitting a written request to the bank.

Secondly, like the Modified National Agricultural Insurance Scheme (MNAIS), introduced by UPA II in 2010-11, the government capped the Central government’s liability in the premium at 30% for unirrigated areas and crops and 25% for irrigated areas or crops.

Districts having 50% or more irrigated area are to be considered as irrigated areas or districts (both under the PMFBY and Restructured Weather Based Crop Insurance Scheme). It means that the states will have to bear additional premium subsidy if actuarial premium exceeds the above limits.

Normally, unirrigated areas and risky crops attracted higher rates of premium in the tenders. However, there is no  capping of benefits to the farmers, unlike the earlier scheme of MNAIS.

Also read: PMFBY: 50% of Farmers’ Dues Being Paid in Only 30-45 Districts, Agri Ministry to Probe

Thirdly, the government decided to substantially enhance the use of modern technology (satellite, drone, mobile, etc.) for assessment of crop yield and estimation of losses and claims. For this a two-step process is to be adopted based on a ‘deviation matrix’ using triggers like weather parameters etc. It was also decided that the CCEs are to be conducted only in those areas in which there are strong deviations, noticed from use of remote sensing and other technologies.

Premium conundrum

It is true that due to high actuarial rates in several clusters, the states found that a substantial part of their agriculture budget was going to pay premium subsidies. The PMFBY was launched from kharif 2016 but Punjab never joined it.

In several states, the claims have exceeded the gross premium. In 2017-18, Chhattisgarh, Haryana, Madhya Pradesh, Odisha and Tamil Nadu the claims were more than the premium.

In 2018-19 also, Chhattisgarh, Haryana, Kerala and Tamil Nadu had a claims ratio of more than 100%. In 2019-20, harvested crops, lying in the farmers fields were damaged due to late surge of monsoon. Claims of more than Rs 4,500 crore have been paid in the state.

Yet, it is true that in several states the claims were less than the premium.

Several other states have also decided to discontinue this centrally sponsored scheme, in which the states had to pay 50% of premium subsidy. Bihar and West Bengal discontinued PMFBY from kharif 2018 and kharif 2019 respectively. From rabi 2019-2020, Andhra Pradesh opted out. From kharif 2020, Telangana and Jharkhand have also decided to opt out.

Farmers load paddy on a bullock-cart in a flood affected field in Morigaon district of Assam, Thursday, May 28, 2020. Photo: PTI

Bihar and Jharkhand have started their own crop insurance schemes under which farmers do not  have to pay any premium and they are eligible for crop insurance upto 2 hectares, if shortfall in yield is more than 20% of threshold yield. The insurance scheme in West Bengal is modelled on PMFBY and the companies are selected through a tender. The state does not take any premium subsidy from the Centre.

Andhra Pradesh has decided to set up its own crop insurance company and it has applied to Insurance Regulatory and Development Authority for a licence. No premium is charged from farmers. So far, the scheme is being operated by the state government and there is no participation of insurance companies. As a result, the state government will be  responsible for payment of any claims.

Haryana is also said to be exploring if it can form its own insurance company. For kharif 2020, however, it has gone in for PMFBY.

Also read: By Making Crop Insurance Optional for Farmers, Has the Centre Effectively Ended the Scheme?

In the states which have set up their own insurance companies, premium subsidy from the Centre will be available only if actuarial premium rates are discovered through a transparent process of tendering. In any such tenders, all the empaneled companies of private and public sector will also be eligible to participate. It is yet to be seen how the state level insurance companies will compete with Agriculture Insurance Company (AIC) and other private companies which have long experience of running crop insurance.

Despite recommendation of experts, this year also, the states did not finalise their tenders before the first forecast of monsoon was issued in early April. As a result, several states could finalise the insurance company and issue notifications only in July.

For this kharif, the cut off date for insurance is July 31, 2020 but Uttar Pradesh is yet to decide if it will be ‘opt out’ or ‘opt in’  for farmers. If it decides for ‘opt in’ option, every farmer will be required to submit their request to the bank for insuring their crops. Other states have gone in for ‘opt out’ option under which  only those farmers need to submit a written request to their bank who do not want to insure their crop.

A farmer tends to his field in Shimla during the nationwide lockdown to curb the spread of COVID-19. Photo: PTI

As mentioned above, one of the major criticisms of PMFBY in the media and public discourse was that it has resulted in undue enrichment of private insurance companies. In 2019-20, out of Rs. 31,391 crore of gross premium of all the insurance companies, PSU companies collected Rs 16,325 crore (52%). AIC alone collected GP of Rs 13,651 crore (43.5%).

ICICI Lombard, Cholamandalam MS, Shriram General Insurance and Tata AIG have opted out of PMFBY from kharif 2019-20, as they felt that the claim ratios in previous seasons were too high.

The government’s own Public Sector Undertakings (PSUs) – General Insurance Corporation, United India Insurance Company, National Insurance Company, Oriental Insurance Company and New India Assurance have also faced difficulties in getting reinsurance due to their  losses and high claim ratio in previous seasons. As a result, only 10 out of 18 empanelled insurance companies were eligible  to participate in crop insurance in the kharif 2020 season.

Finally, the government took a good decision last year to engage 12 organisations to conduct pilot studies in kharif and rabi 2019-20 for gram panchayat level crop yield estimation using remote sensing, artificial intelligence bases softwares, drones, mobile applications and other technologies. International Food Policy Research Institute (IFPRI), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Gokhale Institute of Politics and Economics and Trinity League India are among those who have submitted detailed technical reports to MNCFC.

These reports suggest that accuracy upto 85-90% can be achieved in assessment of crop yield for rice & wheat. This can reduce dependence on crop cutting experiments. There is a need to integrate use of technology for assessment of yield. This can shorten the time taken by CCEs which has been a major cause of delay in settlement of claims.

PMFBY will complete five years when rabi crops are harvested in March-April 2021. In 2019-20, the Centre and the states paid Rs 27,075 crore as premium subsidy. It is time the government launched a comprehensive evaluation of the scheme which should  be concurrent with this year’s kharif and rabi crops. This can enable the Centre and the states to decide the way forward.

Siraj Hussain is a Visiting Senior Fellow, ICRIER. He retired as Union Agriculture Secretary.

Health Data Should Leave No Indian Behind

The shift from the MDGs to sustainable development goals is also a shift from tracking aggregates to tracking more disaggregated indicators, and India urgently needs a strategy to overcome data limitations.

The shift from the MDGs to sustainable development goals is also a shift from tracking aggregates to tracking more disaggregated indicators, and India urgently needs a strategy to overcome data limitations.

Credit: frontierofficial/Flickr, CC BY 2.0

Credit: frontierofficial/Flickr, CC BY 2.0

India may be one of the very few countries where key central ministries disagree on whether crucial Millennium Development Goals (MDG) will be achieved or not. MDG 5, whose target was reduction of maternal mortality ratio (MMR) by three quarters between 1990 and 2015 is the case in point. While the health ministry believes that India will achieve this goal, the Ministry of Statistics (MoSPI) is less optimistic. Obviously, both ministries use two separate sets of numbers. The ad-hoc way in which numbers are used in policy discussions is directly linked to unavailability of regular, quality data.

The National Institution for Transforming India (NITI Aayog) is reportedly changing the way it plans by shifting to 15-year roadmaps instead of five year plans. Interestingly, this approach is much similar to United Nation’s 2030 sustainable development goals, or even the previous MDGs. This new approach with its comprehensive goals, clear deadlines and measurable targets have great potential, given the challenges of governance in India. As implementation of SDGs is underway in the country, the health ministry has come out with a ‘Delhi Commitment on Sustainable Development Goal for Health’. This joint statement has encouraged state and central government agencies to aim towards a more transformational and ambitious agenda.  In this context, there are major concerns around data gaps, as well as timeliness, availability and quality of existing data.

Serious health data deficit

As Donald Henderson, who spearheaded the smallpox eradication drive, observed in the 1970s, the next disease that needs to be eradicated in India still is bad management. Bad management gets reflected in difficulties in tracking and sharing of key performance indicators. Unavailability of quality data in a timely manner remains a binding constraint in the health sector, including nutrition. While there is general agreement on the weaknesses of the Indian health care delivery system, the gaps in terms of regular, quality data sources that are needed to pinpoint weaknesses, locate causes, and drive improvements remain less discussed.  

A discussion paper on health statistics in India by MoSPI found that most health indicators are available only at the level of states and not below.  Almost seventy years from independence, India has many core health statistics only for a select number of states. MMR estimates for example, are available only for India and “major states” – 15 in number. For other states, regular numbers do not exist. Regular, reliable numbers on Neonatal Mortality Rate, Under 5 Mortality Rate, and Life Expectancy are available only for under 20 states (not counting Telangana) as shown in the following table. Disaggregated data across caste, class, gender, or region are unavailable for most of these indicators.

Maternal mortality ratio Neonatal mortality rate/Under 5 mortality rate/Total fertility rate Life expectancy at birth
Andhra Pradesh Andhra Pradesh Andhra Pradesh
Assam Assam Assam
Bihar/Jharkhand Bihar Bihar
Gujarat Chhatisgarh Gujarat
Haryana Delhi Haryana
Karnataka Gujarat Himachal Pradesh
Kerala Haryana Jammu & Kashmir
Madhya Pradesh/Chhatisgarh Himachal Pradesh Karnataka
Maharashtra Jammu & Kashmir Kerala
Odisha Jharkhand Madhya Pradesh
Punjab Karnataka Maharashtra
Rajasthan Kerala Odisha
Tamil Nadu Madhya Pradesh Punjab
Uttar Pradesh/Uttarakhand Maharashtra Rajasthan
West Bengal Odisha Tamil Nadu
Odisha Tamil Nadu
Punjab Uttar Pradesh
Rajasthan West Bengal
Tamil Nadu
Uttar Pradesh
West Bengal

Source: MoSPI (2015) Discussion Paper on Health Statistics

Latest state level estimates of birth rate, death rate, and infant mortality rate (IMR) for the year 2014 was released earlier this month by the Registrar General of India’s office after a delay of two years.  The India estimates are not available yet, as data from only 23 states were analysed in the latest SRS Bulletin. Estimates from only 11 out of the 21 ‘bigger states’ are available. IMR numbers from states like Goa, which had the lowest, as well as Haryana and Andhra Pradesh, which had relatively higher IMR in 2013, are missing. The remaining state and national estimates will be published only later in the year, as the Office of the Registrar General and Census Commissioner has clarified.

Data availability for major determinants of health like nutrition is severely limited too. A review of sources of nutrition data in India conducted by the International Food Policy Research Institute (IFPRI) in 2015 identified serious data gaps.  One of the major areas of action identified by the exercise was to prioritise nutrition as a development indicator.  It recommended to establish a reliable system for periodic data -driven updates on the state of nutrition in India as well. Global Nutrition Report’s India country profile highlighted significant gaps including that of timeliness of data. Time series data is not available for core indicators and comparability remains a major challenge -reference group inconsistencies in child anthropometry within surveys affects flexibility of analysis.

Formidable obstacles remain before India starts having timely health and nutrition indicators from the block or even the district level, which can contribute to mid-course correction of policies. The Delhi Commitment acknowledged the need to invest in health data collection, analysis and research so that evidence could inform policies and strategies.  The latest round of National Family Health Survey (2015-16), which will give district level numbers for many core health indicators for the whole country is a first in India’s history. This pioneering initiative, which will be repeated every three years, will help India overcome some binding constraints in the healthcare statistics system.

India’s SDG challenges

Despite the initial lukewarm response, all the eight goals and 12 targets of the MDGs were incorporated into the planning and budgetary process in India. It is clear that India has a long way to go to achieve the sustainable development goals by 2030. However, mainstreaming sustainable development goals does not seem to be as difficult a task in India as it may be in many other countries, given the fact that India’s national goals have historically been more ambitious than the UN goals. Despite having ambitious goals, India has had a mixed record in terms of implementing programmes and schemes to achieve those goals, particularly in health and nutrition. The extent to which the health and nutrition targets can be tracked and the quality of the metrics will depend significantly on the indicators, which are being finalised by MoSPI.   

As India adapts SDGs, health and nutrition policy challenges in the next 15 years will be greater than those of the last 15 years, as SDGs are more comprehensive than MDGs. An additional set of issues come from the fact that a lot from the MDG agenda in health remains to be achieved.   The experience from MDGs suggest that in India, lack of timely data and effective tracking has affected success. A national consultation on post-2015 development framework in India observed that five out of eight MDGs had insufficient data related to them, making effective tracking and mid-course corrections difficult. Understandably, all three health related MDGs figured on that list.

The shift from MDGs to SDGs is also a shift from tracking aggregates to tracking more disaggregated indicators. Equity and inclusion are incorporated in the framework, which exhorts countries not to leave anyone behind. Development of a national indicator framework for tracking SDGs in India becomes an important process that can influence how we collect, analyse and disseminate health data in the country.

Compared to the MDGs, the SDG formulation process has been termed much more inclusive and participative. However, the SDGs are far more complex than the MDGs. Tracking them is expected to be significantly more demanding, requiring new and more onerous statistical effort at the national level.  Indicators will be the backbone of tracking the SDGs at local, national, regional, and global levels. The United Nations recommend SDG indicators as a management tool to help countries develop implementation strategies and allocate resources accordingly. For each target, India needs to have a strategy to overcome data limitations and identify indicators focused on measurable outcomes.

As India plans for the countrywide implementation of the sustainable development goals, all major stakeholders including the private sector need to  come together and discuss how challenges around data and indicators in health and nutrition can be overcome.

Oommen C. Kurian is Fellow, Public Health, at the Observer Research Foundation.

Malnutrition Affects a Third of All People, Fuels Disease Worldwide: Report

According to the report, malnutrition– either undernourishment or obesity– is responsible for nearly half of all deaths of children under five worldwide and, together with poor diets, is the number one driver of disease.

The legs of women are pictured as they walk along a street in Paris, France, October 14, 2015. Credit: Reuters/Jacky Naegelen/Files

The legs of women are pictured as they walk along a street in Paris, France, October 14, 2015. Credit: Reuters/Jacky Naegelen/Files

London: A third of people worldwide are either undernourished or overweight, driving increasing rates of disease and piling pressure on health services, a global report showed on Tuesday.

Rates of obese or overweight people are rising in every region of the world, and in nearly every country, according to the 2016 Global Nutrition Report – an annual independent stock take of the state of the world’s nutrition.

Malnutrition comes in many forms – including poor child growth and development and vulnerability to infection among those who do not get enough food, and obesity, heart disease, diabetes and cancer risks in people who are overweight or whose blood contains too much sugar, salt, fat or cholesterol.

According to the report, malnutrition is responsible for nearly half of all deaths of children under five worldwide and, together with poor diets, is the number one driver of disease.

At least 57 countries have a double burden of serious levels of under nutrition – including stunting and anaemia – as well as rising numbers of adults who are overweight or obese, putting a massive strain on sometimes already fragile health systems.

“One in three people suffer from some form of malnutrition,” said Lawrence Haddad, a senior researcher at the US-based International Food Policy Research Institute and a co-author of the report.

The report pointed to what it said were “the staggering economic costs of malnutrition“, warning that 11% of gross domestic product (GDP) is lost every year in Africa and Asia due to the consequences of it.

Individual family costs can also be high. In the US, when one person in a household is obese, that household spends on average an extra 8.0% of its annual income on healthcare. In China, having diabetes results in an annual 16.3% loss of income for the patient.

Despite the problems, there have been pockets of progress, the report found.

The number of stunted children under five is falling in every region except Africa and Oceania, and in Ghana stunting rates have almost halved – to 19% from 36% – in just over a decade.

“Despite the challenges, malnutrition is not inevitable,” Haddad said, as long as there was political commitment to tackle the issue. “Where leaders in government, civil society, academia and business are committed… anything is possible,” he said in a statement with the report.

An independent expert group produces the Global Nutrition Report and the International Food Policy Research Institute oversees it. It is funded by various government and philanthropic donors, including the US and British governments, the European Commission and the Gates Foundation.

(Reuters)