Will Ayushman Bharat Work?

BLOG BY JISHNU DAS, YAMINI AIYAR AND JEFFREY HAMMER
HEALTH POLITICS

As the country prepares for the launch of Ayushman Bharat on September 23rd, sceptics may wonder whether this time is truly different. Ayushman Bharat, or Pradhan Mantri- Jan Arogya Yojana (PM-JAY) as it is now called, will attempt to bring millions of poor Indians into a structured health insurance scheme, integrating the latest technology and coordinating between state agencies, insurance firms or state trusts, third-party administrators and thousands of public and private hospitals.

We have been here before. And the same thorny implementation issues are likely to plague Ayushman Bharat, as its predecessor, the Rashtriya Swasthya Bima Yojana (RSBY) and other state-specific insurance models.

If there was one key lesson from that experience, it was this: Even as we have become sick and tired of poor quality and services in the public sector, public funding for the private sector will be no panacea. Not because the private sector can’t perform better, but because, in addition to the old adage that the private sector behaves like the public sector in direct proportion to the subsidies it receives, health insurance brings with it its own set of special concerns.

Good medical care ensures both that the patients receive what they need and do not receive what they do not need. A functioning health insurance system therefore must ensure three different purposes: Patients are not under-treated (the hospital turns you away; doesn’t give you an expensive medicine you need) patients are not over-treated (the hospital gives you an unnecessary procedure or medicines) and patients are not over-charged (you pay more than the price of the service as determined by the insurance scheme).

Ensuring this requires massive investments in adaptive price setting, legislation, third-party monitoring, quality improvements in public sector hospitals and ultimately significant investments in skilled capacity. Increasing government involvement in these five areas will be a critical precondition for fulfilling the promise of a healthier India.

Pricing: If prices could be set such that hospitals always acted as the patient’s best advocate, many of these problems could be solved—and many of the additional issues we discuss below would not arise. But unfortunately, accurately pricing services and ensuring that government gets what it pays for is an almost impossible problem, with perhaps no efficient solution. Prices need to fulfill the dual function of ensuring “neither too much, nor too little”. But if costs for the same procedure differ across hospitals (not only due to quality, but also due to location and capacity), a single price across hospitals can never ensure that both constraints are effectively met, and in fact, it is certain that these prices will never be the “right” prices.

When the price is too low for a hospital, it will either choose not to enroll in the scheme, or it will deny services. When the price is too high, the hospital will make additional profits, or worse, try to convince patients to receive the service even when it is not needed. Reports of unnecessary hysterectomies under RSBY followed from such erroneous pricing.

The fact that a stent will be reimbursed at Rs.40,000 but a heart bypass at Rs 1.2 Lakhs immediately highlights the problem. Even if administrators can perfectly determine what operation the patient received, there is nothing stopping a hospital from choosing the operation that grants higher profits. Why stop at a stent if the bypass nets additional profits? It may be possible to setup complicated verification methods, but problems like “upcoding” (inserting a stent but coding a bypass and perhaps just outright fraud) become more likely the greater the deviation in prices from each hospital’s cost structure.

Getting prices right is the central dilemma in any insurance program and one that all countries struggle to solve. But the one thing that countries implementing large-scale programs have in common is a large analytical and data center that continuously examines procedures, procedure coding and charges from the insurance scheme. Prices have to be frequently negotiated and updated based on the data, and this is a job for specialized teams of hundreds in each state. The precondition for better pricing is state capacity.

Third-party monitoring: Given that we will never get prices exactly right (and for the first decade they may be wildly off), hospitals may both under-treat and over-charge. One of the trickiest problems in RSBY was the denial of services. In the districts where it was implemented, as highlighted in a 2017 study by Karan, Yip and Mahal, RSBY had little to no impact on financial protection for households . One (good) reason could be that people were now accessing health services for conditions that they earlier could not afford to—the impact of RSBY shows up on life, rather than on money.

But two more troubling problems are equally likely. The first is outright denial of services. In West Bengal, in a district one of us was studying, the private hospital would not honor the cards. Patients would turn up, and would be turned back. In the West Bengal case, prices for some procedures were set too low for the hospital to make a profit on these cases, and therefore it made no financial sense for hospitals to cater to these conditions. There have been other cases where patients have been turned back because hospitals were not being reimbursed for their claims on a timely basis. The second is that hospitals may increase the prices of the service and force patients to pay out-of-pocket. Subsidies to providers are shared among the provider and the consumer depending on demand and supply elasticities. If there is only one hospital in the district, the hospital knows that patients have little choice but to pay up.

The problem with denials and top-up pricing is that they do not show up in routine administrative data—the RSBY card was not used; the payment was off the books. Grievance redress and call centers may prove useful, but only if they can immediately influence the outcome for the patient. The RSBY tried to deal with this problem through stated guidelines that allowed local NGOs and partners to setup health desks in hospitals to help patients navigate the scheme and the hospital. Unfortunately, there were few takers. Crucial to the success of Ayushman Bharat therefore is the creation of an eco-system of mediators and facilitators that will serve as a link between the scheme, third party insurers and the hospital. The proposed ‘Arogya Mitras’​ are a step in the right direction, but will require both the authority and the ability to guide patients through hospital care, perhaps in direct opposition to the hospitals’ own objectives. That they will be hired by the private hospitals themselves in several states sets up a direct conflict of interest and undermines their potential to be vigilant observers.

Regulation and Insurance Fraud: In tandem, the scheme will require dedicated teams with supporting legislation to control fraud. Ajay Shah, Ila Patnaik, Shefali Malhotra and Shubho Roy have shown that all 17 insurance ombudsman offices in India are currently vacant with a backlog of 9000 complaints. Gaps in the current regulatory framework imply that there is no established procedure for settlement of claims, redress of consumer behavior against rejection of claims or even penalties for rejecting claims in in violation of existing regulations. This in turn creates incentives for regular violation of norms by insurance companies. Not surprisingly, the complaints rate in India is orders of magnitude higher than comparable jurisdictions across the globe. The success of Ayushman Bharat is now intrinsically tied not only to the functioning of the health department, but also the criminal justice and court systems. For Ayusham Bharat to succeed, on September 23rd the Government of India must unveil not just an insurance plan but a new, stronger legislative framework for regulation and insurance fraud.

Improving Government Hospitals: Finally, there is no getting around the critical need to strengthen government hospitals. In the long run, well-functioning public hospitals will provide a much-needed backstop against predatory practices, denial of service and overcharging in the private sector. Especially in districts where competition is limited, public hospitals will limit the monopoly power of the private sector, flush with the new money from the scheme. A framework for transferring resources from the scheme to help government hospitals improve their quality is just as important as funding flows to the private sector.

Capacity: All of this with require significant investments in state capacity. As in the RSBY state governments will handle most of the implementation and this will require an interest, willingness and, above all, capacity within state governments to make massive investments in the administrative structure. Some numbers may help.

In the United States, the (largely) single-purchaser Medicare scheme employs 6000 people to cover 44 million beneficiaries. These are all highly trained administrative staff handling insurance audits, pricing and medical records; dealing with anti-trust cases and fraud and examining billing issues in each state. Consider U.P where the scheme may cover 50% of the population, or 100 million people. That would imply that the administrative staff to run a single purchaser scheme should be above 10,000. But the RSBY headquarters in UP had 42 staff including a Chief Executive Officer, Nodal officer, contractual staff and medical officers. Bihar employed about 10 full-time staff and even in southern states with a longer history running large scale health insurance programs, offices remain thinly staffed. The Tamil Nadu state office as well as, Arogyashri in Telengana employ fewer than 100 staff each. The point is simply this. Running a scheme as complex as a large-scale health insurance program requires people. To be successful, Ayushman Bharat must be prepared to make such large-scale investments in human resources at state government headquarters. Since the expertise currently does not exist (at least at this scale) we will have to develop the necessary institutions that will train these professionals.

The foundational pillars will still not ensure that patients receive the care they need, or even that they won’t emerge in a worse condition than they were when they entered. Clearly, that should be the key focus of Ayushman Bharat. But we won’t get there without first getting the institutional architecture right.

It would be a huge mistake to think that we can deliver care without improving state functioning by devolving responsibilities to the private sector. We can’t. In fact, with a scheme like Ayushman Bharat, our state capacity now needs to go far beyond the health sector to complex regulation, industry practices, the police and the courts. This is a challenge for the entire country. And it is the metric against which the Ayushman bharat should be monitored and what the government should be held accountable for.

Jishnu Das is a Senior Visiting Fellow, Centre for Policy Research. Yamini Aiyar is the President and Chief Executive, CPR. Jeffrey Hammer is formerly Charles and Marie Robertson Visiting Professor of Economic Development at the Woodrow Wilson School of Princeton University.

Workshop on ‘Little Box Retail’

FUTURE OF THE VIBRANT, ROADSIDE MARKETPLACES IN INDIA

Watch the full video (above) where Durba Chattaraj describes the world of ‘little box retail’, small roadside shops, which line a major national highway in West Bengal. She argues that while these retailers form the center of local economic and social life, a majority of them are unauthorized structures. She uncovers the unusual way in which the municipality taxes these unauthorized structures, through the creation of informal ‘trade licenses’ in an attempt to mediate the dissonance between the law and actual practice in everyday life in India.

As India proceeds on the path of highway modernization and road widening, it becomes important to question the future of these vibrant, and unauthorized, roadside marketplaces.

Will India’s interests be served by the Paris Climate Agreement?

COMMENTARY AND ANALYSES BY CPR FACULTY

 

A new climate accord- the Paris Agreement- was approved by the nations of the world on December 12, 2015. CPR faculty Shyam Saran, Lavanya Rajamani, Navroz K. Dubash and Radhika Khosla, have provided in-depth commentary and analyses on the Agreement and its implications for India.

Prior to the Paris Agreement, our faculty put into perspective India’s interests at the climate talks in Paris:

For an entire archive of the Climate Initiative’s work over the past year, view this interactive timeline.

Why are Farmers Protesting Against the Government’s Agricultural Reforms?

The Government of India passed three farm reform bills- The Farmers’ Produce Trade And Commerce (Promotion And Facilitation) Bill, The Farmers (Empowerment and Protection) Agreement on Price Assurance and Farm Services Bill, and The Essential Commodities (Amendment) Bill, in the Monsoon Session of the Parliament. The passage of these bills has led to widespread protests by farmers across the country. It has also raised critical concerns over the direction in which agricultural reforms should go, the nature of these three bills and the process through which they were passed in Parliament.

In this episode of CPR’s podcast, ThoughtSpace, Yamini Aiyar, President & Chief Executive of CPR, speaks with Dr Mekhala Krishnamurthy, Senior Fellow and Director, State Capacity Initiative at CPR and Associate Professor, Ashoka University, and Ajay Vir Jakhar, Chairperson, Bharat Krishak Samaj. Krishnamurthy and Jakhar are India’s most prolific commentators on agriculture and have deeply studied agricultural reforms. They shed light on what the current reforms mean for the Indian farmer and the future of agriculture in the country.

In an earlier episode of ThoughtSpace, Dr Mekhala Krishnamurthy discussed how the government could strengthen the mandi system to truly double farmers’ incomes. Listen here.

Scholars at CPR have closely followed these developments and studied their implications for agriculture. Read their analysis below:

  • In Hindustan Times, Yamini Aiyar and Mekhala Krishnamurthy highlight how the farmers’ agitation at Delhi’s doorstep exposes deep fault lines and new possibilities in the politics of representation, reform and Centre-state relations. They shed light on the need for a renewed politics of trust to truly reform agriculture.
  • In an article published in Hindustan Times in October, they had examined the federal implications arising out of the way in which the farm laws were passed in Parliament. They highlighted the need for political statesmanship and consensus-building for genuine cooperative federalism to reform agriculture.
  • In a discussion on India Ahead News, Mekhala Krishnamurthy analyses whether farmers will get better prices for their produce with the entry of big companies. She highlights the need to strengthen the farmer’s terms of engagement in the agricultural markets through investment.
  • a discussion on India Ahead News, Yamini Aiyar discusses why the farmers’ protest is an important political moment. She highlights that no country has made a structural transformation from agriculture to industrialisation without first enhancing agricultural productivity. She explains that our failure to do so has led to a deep agrarian crisis, amplified consistently due to policy decisions over the last few years and the economic crisis India now confronts.
  • How have we arrived at a point where the effect of laws promulgated to enable freer trade in agricultural produce has led to the State erecting extraordinary physical barriers to prevent farmers, the producers, from entering the capital city to protest and place their demands? In this video, Mekhala Krishnamurthy discusses  key aspects of the farm laws to contextualise the ongoing farmers’ agitation.
  • In ThePrint, Mekhala Krishnamurthy analyses the issue of licensing and registration of farm produce buyers. She writes, under the new law, farmers won’t know if the PAN-wielding buyer has been registered, and also won’t have access to timely and updated price information in trading areas. Furthermore she highlights that agricultural marketing laws as a whole—need to be re-examined keeping in mind the basic principles, processes, investments, and institutions essential to create the robust and supportive regulatory architecture that agricultural markets in India actually need.
  • In ThePrint, Asim Ali analyses the opposition to the farm laws despite the fact that the agricultural reforms push had all the features and sensibilities of Narendra Modi’s distinctive middle-class politics of aspiration. He highlights that Modi’s middle-class constituency is essentially a coalition of two strikingly distinct classes — the traditional middle classes and the neo-middle classes. These two classes are bound together more by a sensibility and a loose ideological orientation rather than any concrete interests, and these hard limits have become apparent in the farmers’ protest.
  • In a discussion organised by ThePrint, Mekhala Krishnamurthy highlighs how the current farm laws ignore the first principles of reform, which include good price discovery & mechanism to ensure good price settlement for farmers. She underscores the need to to see farmers as active economic agents who deserve investment & support and the need to preserve the diversity and complexity of India’s agricultural systems.
  • In Hindustan Times, Shoumitro Chatterjee highlights the need for a credible risk mitigation strategy. He sheds light on the linkages between the level and volatility of farmer incomes and underscores that freer and integrated markets will make their incomes even more volatile.

Workshop on lending to women with informal incomes and property titles

SEWA GRIH RIN’S EXPERIENCES IN HOME FINANCE
ECONOMY

Watch full video of the talk (above) where Shruti Savio Gonsalves, CEO at Sewa Grih Rin Limited (SGRL), explains the challenges and solutions that emerged during SGRL’s journey of financial inclusion of informally employed and housed people, in particular, women.

SGRL is leveraging an extensive membership network of over 2 million poor, self-employed, informal women in 14 different states of India to fulfil a dream of increasing access to decent housing and a sound living environment.

To listen to the lively discussion that followed, tune in to the Q&A Session

Working in tandem: the informal septic tank emptying market in Aya Nagar, Delhi

NEW REPORT BY SWETA CELINE XESS AND MARIE-HÉLÉNE ZÉRAH

 

The aim of this research report is to explore the types of sanitation services that exist in non-networked settlements. Based on the case study of Aya Nagar in South Delhi, the research shows how households are primarily dependent on septic tanks, and rely on an informal market comprising small-scale local entrepreneurs for the emptying of faecal sludge.

We find that this sector’s functions are structured by the entrepreneurs themselves, who check competition, manage tariffs and mitigate operational risks through collective action. This arrangement relies on existing networks of kinship and friendship between operators.

Financially, the sector offers entrepreneurs a low but steady source of income given a recurrent demand for desludging service in the settlement. Nevertheless, the occupation remains a socially stigmatised activity as it deals with human excreta, which in India, is traditionally associated with low-caste communities.

The full report can be accessed here.

Workshop on Welfare and Poverty: Trends over a Quarter Century on Delhi’s Margins

Watch the full talk (above), where Devesh Vijay tracks changes in demography, occupations, incomes, consumption patterns in villages and slums on Delhi’s margins using surveys, focus group discussions, interviews and life sketches. The study was constructed in two working class communities within the National Capital Region, in 1988-89, and again in 2013-14.

To listen to the lively discussion that followed, tune in to the Q&A Session.

Whose carbon is burnable? Equity considerations in the allocation of a “right to extract”

FULL ACCESS TO THE JOURNAL ARTICLE, CO-AUTHORED BY NAVROZ K DUBASH
ENVIRONMENTAL JUSTICE CLIMATE RESEARCH

Carbon emissions—and hence fossil fuel combustion—must decline rapidly if warming is to be held below 1.5 or 2 °C. Yet fossil fuels are so deeply entrenched in the broader economy that a rapid transition poses the challenge of significant transitional disruption. Fossil fuels must be phased out even as access to energy services for basic needs and for economic development expands, particularly in developing countries. Nations, communities, and workers that are economically dependent on fossil fuel extraction will need to find a new foundation for livelihoods and revenue. These challenges are surmountable. In principle, societies could undertake a decarbonization transition in which they anticipate the transitional disruption, and cooperate and contribute fairly to minimize and alleviate it. Indeed, if societies do not work to avoid that disruption, a decarbonization transition may not be possible at all. Too many people may conclude they will suffer undue hardship, and thus undermine the political consensus required to undertake an ambitious transition. The principles and framework laid out here are offered as a contribution to understanding the nature of the potential impacts of a transition, principles for equitably sharing the costs of avoiding them, and guidance for prioritizing which fossil resources can still be extracted.

The full article can be accessed here.

What Matters for Urban Women’s Work: A Deep Dive Into Falling Female Labour Force Participation

CHAPTER BY SHAMINDRA NATH ROY AND PARTHA MUKHOPADHYAY IN OXFAM INDIA’S REPORT ‘MIND THE GAP: THE STATE OF EMPLOYMENT IN INDIA’
ECONOMY

India is one of the lowest globally in terms of female labour force participation (FLFP), ranking only better than Pakistan in South Asia. While the decline in FLFP in rural areas is starkly visible, the urban FLFP has been consistently low since the 1980s despite higher economic growth and increasing level of education among females. The economic offset created by such low FLFP is huge and if, for instance, it (16.8%) could be raised to the level of FLFP in China (61.5%)[1], it has the potential to raise India’s GDP up to 27%. This chapter attempts to investigate the structural deficiencies behind this consistently low urban FLFP through a variety of perspectives, ranging from measuring the complexity of women’s work to the implications of caste, location and family structure. It finds factors like presence of female-friendly industries, provision of regular salaried jobs and policies that cater to women’s needs to work near home like availability of part-time work, can improve the situation, though prejudices arising from patriarchy require to be addressed to make these measures truly transformative and not palliative.

[1] This is from the International Labour Organisation (ILO) model estimate for 15+ population in the World Development Indicators of the World Bank, 2018.

The full chapter in the report can be accessed here.

What is happening beyond large cities? Understanding census towns in India

PART 2 OF A SERIES OF INTERPRETATIONS DRAWING ON A NEW BOOK ON SMALL TOWNS

 

Kanhu Charan Pradhan from CPR, who was among the first scholars to highlight the specific role of Census Towns in the 2001-2011 period, draws on his earlier research to explain the role of census towns in understanding the pattern of urbanisation in India.

How is the ‘urban’ defined in India?

The definition of what is ‘urban’ in India is relatively complex. The UN ‘Demographic Yearbook 2005’, which compiles the various ways in which urban is defined across the world shows that the Indian definition is unique to the country. All urban areas in India can be broadly classified into three groups on the basis of their manner of governance.

  • The first type includes all urban areas that are established under a law, whether it is a state or a central law. These urban areas have a pre-defined structure of urban governance and they are known as ‘statutory towns’ (STs). They are governed by urban local bodies.The STs can be further divided into three groups depending on the nature of laws under which they were established. ‘Cantonment boards’ in India come under the central government and were established under The Cantonment Act, 2006. Urban local bodies were given constitutional status under the 74th amendment to the Constitution of India. States define specific criteria for categorising various types of municipalities, and these often differ from one state to another. Overall, ‘Municipal Corporations’ are instituted for large cities while ‘Municipalities’ cover smaller urban settlements, and ‘Nagar Panchayats’ are set up for transitional areas. However, a particular place can be excluded from the purview of municipalities, if a state decides to declare that area as ‘industrial township’ under an appropriate state law.
  • The second type of urban areas are known as ‘census towns’ (CTs). They are identified by the Registrar General of India (RGI) as a result of the population census exercise. CTs include all villages which satisfy the three predefined conditions of population size (at least 5,000), population density (at least 400 people/sq. km.) and non-farm workforce (at least 75% of male workforce). However, CTs continue to be governed as villages, and are part of Panchayats, which were given constitutional status under the 73rd amendment to the Constitution of India.
  • The third type of urban areas, which are neither STs nor CTs are ‘out growths’ (OGs). These include all settlements or partial settlements that always lie near a ST but outside its statutory limits. Here, the test is whether these areas possess urban infrastructure and amenities, not whether they satisfy criteria on population size, density and economic activity, like the CTs. The OGs, like CTs, are governed as rural areas.

What are the main challenges of the identification methodology of census towns or CTs?

It is important to note that the RGI finalises the rural/urban classification before the census actually happens. This is because the census schedules are different for rural and urban areas. However, there are three main challenges in the methodology used to identify CTs.

  • Firstly, it considers all STs as urban before the census is conducted. Then it identifies CTs using the previous census data. It uses a population cut-off of 4,000 in the previous census, instead of 5,000, with the working assumption that these places will have reached 5,000 people in one decade. But it requires the settlements to cross the thresholds of density (400 people/sq. km.) and non-farm work (75%), in the previous census. Due to the difference in the expected and actual population growth, some of the CTs which are classified as CTs do not satisfy some or all conditions. On the other hand, some villages, which actually satisfy these conditions are not identified as CTs. In addition, levels of non-farm work can reduce from one census to another.
  • The second problem is related to the use of one common definition for such a large and diverse country. For instance, the settlement pattern in India is very different from state to state. The average size of villages in the hilly states is relatively much smaller than plain states. Similarly, the population growth varies greatly across space.
  • The third challenge is related to the sensitivity of the definition itself. To briefly explain, if we reduce the population cut-off by 500 (3,500 people instead of 4,000 people), then 40 million more rural population in 2011 would be eligible to be classified urban in the coming census. Similarly, a reduction of 5 percentage points in the workforce criteria implies that 18 million additional rural people would be classified as urban. Researchers have also tried other methods to define urban; such as on the basis of commuting distance (Uchida and Nelson) and contiguous built-up area (Denis and Marius-Gnanou).

How did the debate on census towns start and what is the debate about?

CTs are not new in India. The RGI is classifying settlements as CTs since the 1961 census. I got interested in the subject due to the high increase in the number of CTs in Kerala combined with a high urban population growth. When I found out that almost all the urban population growth in Kerala was explained by the new CTs, I expanded that work. This work was one of the first published papers on CTs in Economic and Political Weekly. The findings of the paper, which showed, inter alia, that one third of the urban population growth during 2001 and 2011 was due to new CTs generated more interest among researchers, and the steep increase in the number of CTs from 1362 in 2001 to 3892 in 2011 was highlighted in newspapers. Some even questioned whether the large increase in the number of CTs was an attempt to inflate the extent of urbanisation. Over time, it has modified our vision of an urbanisation driven only by large cities and opened new debates on topics, such as: how are these CTs spread across India? Are the economic structures and the access to amenities in these CTs different from villages of a similar size? What are the governance challenges of CTs? And, most importantly, what is happening beyond large cities?
Are census towns evenly spread across the country? Are there any other important characteristics you want to highlight?

The concentration of CTs is disproportionately high in few states. West Bengal (780) had the maximum number of CTs in 2011, followed by Kerala (461), Tamil Nadu (376) and Maharashtra (278). Almost the entire growth in urban population in Kerala between 2001 and 2011 was due to additional CTs.  This share was also very high in West Bengal.

In terms of their distribution across districts, on an average, the highly urbanised districts and their neighboring districts have a higher number of CTs. It implies that many CTs lie close to existing urban areas. Using different straight line distances according to the size of STs, we found that 42% of the total CTs were close to class-I towns (population greater than 100,000).

The remaining 57% CTs which were not proximate to any class-I STs can further be divided into two separate groups.  The ‘clustered’ CTs are not close to Class-I towns but lie close to other CTs or a smaller ST. The remaining CTs, that we can call ‘isolated’ CTs are standalone CTs, and often lie in strategic locations such as in major industrial units or near a national highway or road junction. Of the remaining 57% non-proximate CTs, 68% fall in the first category and 32% fall in the second category. Figure-1 shows a schematic picture of the three different types of CTs.

You have mentioned that the RGI uses the last census data to identify census towns. Is it possible then to predict the number of census towns for the upcoming census?

Yes. It is possible to broadly predict the number of CTs for the 2021 census, but there are few caveats.

First, the RGI includes plantation, livestock, forestry, fisheries and allied activities as farm activity in the CT estimation, but the census data that is publicly released combines them with the non-farm workforce. It requires some adjustment as these sectors are heavily concentrated in some districts (like tea gardens in Assam, fisheries in Kerala etc.). Consequently, the final result depends on the way this adjustment is done.

Second, there are some settlements which might be identified as CTs using the 2011 census data, but may merge into the existing cities or convert to new towns or STs during this period. It is difficult to predict the magnitude of this phenomenon. With these caveats in mind, our estimate suggests that 2149 CTs may come up in the upcoming 2021 census and the broad regional distribution of these CTs would be similar to the existing ones.
You have insisted on the importance of non-farm workforce to define census town. Since the share of non-farm work force is going up, can we expect more census towns in coming years?

It is true that the share of the non-farm work force, on an average, is increasing over time. Hence one would expect more CTs in future. But the process is much more complex than it seems and one should not ignore the dynamics at the micro level. It is not true that the non-farm share is increasing in all settlements. More importantly, Sidhwani (2014) has shown that this process is not uni-directional: many villages do indeed show a decreasing share in the non-farm workforce and some of them are large villages. The amount of research focused on understanding such processes is limited and hence the actual reasons behind these processes are unclear. So, classifying a village as a CT and then again reclassifying it back to a village is not unprecedented. Further, the increase in non-farm work force is not necessarily associated with the expansion of formal employment but is more often due to increase in casual employment in the non-farm sector.
The central government last year asked state governments to convert all census towns into statutory towns. What is your reaction to that move?

I don’t think converting all CTs into STs is the right approach. It should be done on a case by case basis. As I have already mentioned, in India, it is the state government, which decides on the creation of new STs and the minimum criteria is not uniform across states. The minimum population criteria for the smallest type of municipalities ranges from 5,000 (Punjab) to 30,000 (West Bengal). So, unless states use their prerogative power or combine settlements to achieve that population threshold, it is unlikely to convert all CTs into STs. It is instructive to remember that in the last decade only 42 new STs were created.

Further, I have highlighted different types of CTs. Conversion of CTs into STs could be useful for planned governance of some of the CTs, in particular, for some of the larger ones. However, the applicability of this particular mechanism to all CTs is very doubtful and it should be done on a case by case basis. For example, if a CT is in the periphery of a large city, merging the CT into the city could be more helpful. Similarly, if multiple CTs lie close to each other, they can be combined together to make a larger ST.

The other piece in the series can be accessed below: