Polluting a river is a sin against it!

Immersion of idols laced with harmful chemicals does an irreparable damage to a river, time to stop sinning against salvator.

It is that time of the year again, when the devout prepare fancy and exotic idols of gods and goddesses, venerate them for a few days and then consign them to the waters of our rivers. The immersion ritual, as witnessed during the recently concluded Ganesh festival and also anticipated during the forthcoming Durga Puja celebrations, has been a regular annual feature of the festival season across the nation. This is because our rivers are perceived as divine, almost supernatural, entities that have the power of salvation and exculpation of human sins. But while immersing idols signifies a sort of religious atonement for the ‘sinners’, unfortunately, the rivers that function as the sites for this redemption become the ones ‘sinned against’; for this paradoxical coalescence of divinity and desecration not only leads to surface pollution in the rivers but also damages their biodiversity and causes extensive and often irreversible contamination of the groundwater. Several of the idols immersed in the rivers are made from Plaster of Paris, which takes countless years to dissolve, and paint comprising heavy metals like mercury, cadmium, and lead.

River pollution is, in fact, a persistent area of concern across the country. Other research documents the high level of pollution and contamination in the Ganga river, which increases notably during the Hindu festive season. A study by the National Council of Applied Economic Research (NCAER) examines the state of Ganga river water quality at selected stretches of the river in recent years. For ensuring a detailed analysis of the polluting constituents in the Ganga, the NCAER team moved beyond conventional laboratory examination of water samples and used in-situ mobile sensor platforms equipped with GPS capability to pinpoint the pollution sources and hotspots in the river, and capture water quality data at high geospatial resolution. Noting a significant deterioration in the river water quality due to pollutants, the NCAER study points out that despite being among the top ten water-rich countries of the world, and home to both perennial and non-perennial rivers, India has become a water-stressed region.

Albeit, a large proportion of the pollution in rivers is the result of anthropogenic activities and the release of raw sewage, untreated industrial effluents, pesticides, and debris into the river. However, this does not diminish the polluting impact of visarjan or submergence into the river of idols made with non-biodegradable and toxic materials. So, wherein lies the solution? While seeking to purify ourselves through religious rituals, how can we ensure the purification of our rivers too?

For the last few years, the Central Pollution Control Board has been issuing advisories to prevent riverine pollution by prohibiting the immersion of idols, puja material, and religious offerings in rivers . Recently, the Delhi Pollution Control Committee (DPCC) too urged all urban local bodies in the city to set up temporary ponds in residential areas for the immersion of idols. The DPCC’s guidelines mandate the removal of worship materials like flowers and paper decorations, and of collection of biodegradable material used in the idols for recycling and composting, before the immersion.

However, while the advisory is clear on the ‘do’s’ and ‘don’ts’ about idol immersion, it is silent regarding the enforcers who would ensure diligent implementatio. What is the guarantee that the harmful chemicals released from the idols after immersion would not percolate underground through the multiple water bodies earmarked for the immersion? The larger, more serious implications of this could be contamination of the  groundwater. Further, decentralisation of idol immersion away from the Yamuna necessitates the redoubling of efforts to monitor the ground pollution level.

It is thus imperative for the authorities to follow a somewhat centralised approach for monitoring the pollutant load arising due to immersion. Both the authorities in Delhi and the Namami Ganga Clean-up Campaign being undertaken to cleanse the Ganga river can also draw lessons from the Kolkata Municipal Corporation which has been following the ‘no pollution’ principle during the Durga Puja rituals in Kolkata, wherein vats are placed alongside rivers for collection of decorative items removed from idols before their immersion. Thereafter, any residual debris in the rivers is extracted with the help of cranes to minimise the pollutant load in the river. This approach is certainly worth emulating.

The NCAER study also revealed that a large section of the people living in the Ganga river basin depends on the river for their daily needs and livelihood. Similarly, the Yamuna river is the aquatic lifeline for Delhi and its surrounding areas. Hence, even as the Yamuna, Ganga, and all our holy rivers ostensibly absolve us of our moral sins, the least we can do in return is to keep them free of physical and human waste.


Sanjib Pohit is Professor and Anupma Mehta is Editor at the National Council of Applied Economic Research (NCAER). The views expressed are personal.

Beyond the statistical soundbites: why data matter

While collecting official statistics will always be a purview of state institutions, they must be governed by independent governing bodies that can ensure scientific integrity and broad oversight.

We seem fascinated with statistical soundbites, vacillating between the bizarre and the expedient. In October 2021, major newspapers featured stories that claimed that over 100 million Indians owned cryptocurrencies. This put Indians at the top of the global cryptocurrency such as Bitcoin, Dogecoin, etc. Strangely these stories exhibited no scepticism.

When Coin Crunch, a cryptocurrency news magazine, dug deeper into the source of this data, they discovered how hollow these claims were. They traced the source to data from market research, where 2,000 to 12,000 in each country were asked to complete online surveys. Generalising from Internet survey respondents to the Indian population takes quite a stretch of the imagination.

However, these outlandish statistics are not the only ones that get uncritical attention. On the release of the factsheets from the fifth round of the (NFHS-5), conducted in 2019-20, some headlines focused on increasing Severe Acute Malnutrition (SAM) in India. Between 2015-16 and 2019-21, children who are too thin for their height, identified as suffering from severe wasting, called SAM, increased from 7.5% of the population to 7.7%, although stunting (low height for age) decreased from 38.4% to 35.5%. This slight increase in SAM would be a cause of concern since these children are most at risk for nutritional failure.

Differences in methodology

However, both in the press and in the presentation of the data by researchers, differences in methodology between NFHS-4 and NFHS-5 received little attention. A paper published in the journal Plos One by Robert Johnston and others compared NFHS-3 and NFHS-4 as well as several other nutrition surveys and found that due to diarrhoea and other diseases, children are thinner in interviews conducted during the monsoon season. Studies in other countries have made similar observations. My calculations suggest that while only 12% of the NFHS-4 surveys were conducted between July and October, 40% of the NFHS-5 surveys were conducted over these months due to pandemic-related fieldwork restructuring. When we compare SAM for children surveyed during monsoon, and outside of monsoon months, we find that for each period, the prevalence of SAM was slightly lower for NFHS-5 than for NFHS-4 (7.3% in NFHS-4 vs 7% in NFHS-5 outside the monsoon period; and 8.9% vs 8.6% during monsoon interviews). This change is only minor in magnitude, but the difference between a slight increase in malnutrition and a slight decrease changes the tone of the discourse.

These challenges are not unique to India. For over a decade, the popular narrative about maternal mortality in the U.S. suggested that while globally maternal mortality was declining, in the U.S. between 2000 and 2014, it increased by 26%. It was not until Marion MacDorman and her colleagues at the National Center for Health Statistics (NCHS) carefully analysed how maternal mortality statistics were collected that a different conclusion emerged. The NCHS studies found a decrease rather than an increase in the maternal mortality rate over time. The apparent increase was entirely due to how the maternal mortality data were collected.

These examples highlight the challenges researchers, journalists, the informed public and policymakers face. We live in a world where data collectors and researchers are expected to provide data in a rapid cycle with little time to interpret the results and explore anomalies. Media rely on the data presented to them to file stories with statistical soundbites, often even uncritically accepting information provided by market research firms commissioned by industry bodies with a vested interest. In some cases, a political predisposition allows some data to be accepted uncritically while others are scrutinised extensively.

What is a way out of this conundrum? How can we build sensible public discourse and rational, evidence-informed policy design? It will require a substantial redesign of our data and evidence infrastructure with a troika of improved data collection, interpretation and reporting infrastructure.

Independent oversight

While collecting official statistics will always be a purview of state institutions, they must be governed by independent governing bodies that can ensure scientific integrity and broad oversight. The term of the National Statistical Commission (NSC) expired a few months ago. Reappointing the NSC is urgently needed. Moreover, it is also essential that publicly funded but independent data collection also find space in our statistical infrastructure. Consistent experimentation is required in a rapidly changing society and growing technical infrastructure for data collection. In most countries, publicly funded experiments in data collection are carried out by universities or research institutions.

Data collectors must develop the capacity to interpret their data carefully and responsibly. Users often do not know the sampling strategy or minute operational details of data collection. Hence, data collectors must help interpret the data they collect and provide good documentation to users. Today, the National Statistical Office has no data analytical wing. National Family Health Survey reports are simple tabulations without any information about standard errors or attempts at interpretation. These institutions must be strengthened and fully funded to provide data quality analysis and explore their results’ implications.

Researchers and journalists must develop the self-discipline to use and report only reliable data and be cautious of for-profit institutions with a vested interest in providing statistics and reports. The cryptocurrency example above is sobering but not the only example. Lancet, one of the most reputable journals, was forced to withdraw papers based on Hydroxychloroquine trials because the for-profit company that supplied the data was unwilling to share it for verification. Academic publishing and deadline-driven journalistic pressures must be balanced with the responsibility of not misleading the public discourse with inadequately documented information that is either unavailable for verification or is so expensive that it is effectively out of reach of most researchers.

Most importantly, we must develop professional ethics that demand sincere efforts at collecting, interpreting and reporting evidence and institutional infrastructure and public funding that makes this arduous task feasible. As any self-aware data collector and researcher will acknowledge, errors will occur even with the best efforts. Data collectors are not perfect and statistical techniques continue to evolve. However, unless we put thoughtful processes in place for evidence required to support sound policy design, we have no hopes of minimising misdirection.

Sonalde Desai is Professor and Director of NCAER National Data Innovation Centre and Distinguished University Professor at the University of Maryland. Views are personal.

Accessibility of Agricultural Land Records in India

The Government of India launched the National Land Records Modernization Programme (NLRMP) in 2008 by unifying the Computerisation of Land Records (CLR) and the Strengthening of Revenue Administration and Updating of Land Records (SRA and ULR) programmes, in order to accomplish the goal of improving the quality of land records across all States and Union Territories (UTs) of the country. Later in 2016, the NLRMP was brought under the “Digital India” initiative and renamed as the Digital India Land Records Modernization Programme (DILRMP). The programme guidelines clearly prioritise focus on the services that citizens ought to benefit from as a result of digitisation of land records. Accessible land records allow owners to verify their details and apply for corrections if discrepancies are found. This is likely to clear disputes, save time and resources, and finally improve the quality of land records. Since land is the essential commodity for property markets, access to improved and accurate information available from the land records will spur economic activity while providing protection to owners, sellers, and buyers.

How inflation targeting framework has worked well for India

In India, the inflation target (for CPI headline inflation) was set at 4%, with an upper tolerance limit of 6% and a lower limit of 2%. GoI constituted a six-member Monetary Policy Committee (MPC), including three ex-officio members from RBI with the RBI governor as its chairperson, the deputy governor in charge of monetary policy, and an officer to be nominated by its central board. The other three members were to be appointed by GoI for a non-renewable term of four years.

India moved to inflation targeting (IT) in October 2016, after experiencing double-digit inflation for several years. By doing so, it joined a growing group of more than 50 countries that adopted a similar framework to guide monetary policy. The framework has proven to be resilient and nimble, having survived global shocks including the Global Financial Crisis and Covid. There is no known case till date when a country has abandoned IT in favour of another framework.

In India, the inflation target (for CPI headline inflation) was set at 4%, with an upper tolerance limit of 6% and a lower limit of 2%. GoI constituted a six-member Monetary Policy Committee (MPC), including three ex- officio members from RBI with the RBI governor as its chairperson, the deputy governor in charge of monetary policy, and an officer to be nominated by its central board. The other three members were to be appointed by GoI for a non-renewable term of four years.

RBI was mandated to organise at least four meetings of the MPC annually. It was asked to publish a monetary policy report every six months to explain the sources of inflation and provide forecasts of inflation. It was urged to make publicly available the resolution adopted by MPC, the minutes of the meetings, the vote and statement of each MPC member, and a document explaining the steps to be taken to implement the MPC’s decisions.

Further, if RBI failed to achieve the inflation target, it had to submit a report detailing the reasons for this, the prospective remedial actions, and the estimated time period within which IT could be achieved. The agreement specified that RBI would be deemed to have missed its target if inflation exceeded 6% or declined below 2% for three straight quarters, and to have failed it when for three consecutive quarters inflation exceeded 6%.

Notwithstanding early misgivings, the IT framework has worked well. The constitution of MPC has been apolitical. Its meeting schedule has been posted in advance, and all its decisions and communications have been transparently articulated. Consequently, the suspense and surprises around monetary policy formulation have largely disappeared. RBI has not just maintained, but may have enhanced its independence since IT’s adoption. In other countries, the framework has curtailed the influence of the fiscal authorities, and achieved better coordination between the fiscal and monetary authorities. This seems to be the case for India, too.

Currently, the average inflation in India is much lower as compared to its previous trend rate, when it had averaged 10% during 2009-13. Inflationary expectations have been better anchored, and India has experienced a milder acceleration in recent months than in other comparative countries.

India has practiced a flexible IT framework. Evidence shows that the output gaps have not been neglected in policy formulation. MPC statements show that besides headline inflation and the output gap, MPC members assess a range of factors in their deliberations, including food inflation, agriculture sector, rural distress, unemployment, income inequalities, credit offtake, and the global environment. Along with the repo rate, a full policy toolkit comprising the liquidity adjustment facility (LAF) corridor, the cash reserve ratio (CRR), liquidity management, and communication is used. Thus, there is more continuity with the past frameworks than is often appreciated.

An early concern with IT was that an inflation target of 4% seemed too hawkish for a low-middle income country. Just like other countries, India targets inflation in a range, and has in-built escape clauses that allow temporary breaches. In its early years, MPC focused on strictly attaining an inflation target of 4%. Having established its credibility, it can now afford to periodically operate within the full range, while avoiding staying at either extremity of the range for long periods of time.

Ben Bernanke and Frederic Mishkin had argued in their 1997 paper, ‘Inflation Targeting: A New Framework for Monetary Policy?’ (bit.ly/3QUe3V8) that ‘inflation targeting does not represent an ironclad policy rule, as some writers on the subject and even some advocates of this approach seem to assume. Instead, inflation targeting is better understood as a policy framework, whose major advantage is increased transparency and coherence of policy, and in which fairly flexible, even ‘discretionary’ monetary policy actions can be accommodated.’ Inflation targeting has indeed operated in this spirit in India.

Now that the framework has stabilised, it seems to be the right time to tune down the frenzy around MPC meetings. The media, experts and RBI can turn their focus to other issues of critical importance, such as the management of the exchange rate, foreign reserves, capital account liberalisation, and regulation of banks and non-bank financial institutions. RBI ought to continuously revive its regulatory and policymaking capacity on all important issues, not just monetary policy.

The writer is director general, National Council of Applied Economic Research (NCAER)

India COVID-19 Poverty Monitor Report

This report documents the all-round impact of the COVID-19 pandemic on various population categories across India. It has been compiled using a combination of original qualitative data collected from some of the people affected by the pandemic in India, along with interviews with local leaders and community development actors, and secondary data from a range of different sources. Being an attempt to particularly assess the consequences of the pandemic for the vulnerable populations and the risks of impoverishment faced by them, the report focuses on occupational shifts during the pandemic, levels of distress and hardship experienced by the households, COVID and non-COVID health burdens, limited learning activities because of school closure and lack of access to remote modes of education, financial constraints in supporting children’s education digitally, and psychological issues of social isolation perpetrated by the pandemic. In addition to the policy preparedness and government containment measures, the report also covers government relief efforts during the pandemic and evaluates the reach and coverage of these efforts.

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