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Can Universal Basic Income Become A Reality In India?

Universal basic income is known to reduce poverty and income inequality. Does India have the infrastructure to implement this strategy?

There were times in my family's financial struggles when I, as a teenager, used to wonder if a random wealthy individual would just swoop in and give us a certain amount of money. That would help us clear our debt and solve our problems so we could start afresh. For the ultra-wealthy individual, it wouldn't mean much, but for us, it would be a lifesaver. There was nothing structurally wrong with our situation, just a poorly planned debt that was slowly but surely draining us of all our assets. 

That thought has stayed with me. While I may not be in a position to unflinchingly clear debts of the size my family was afflicted with, I could still part with money (that I consider a small amount) and give it to others for whom it could be significant. After all, it is relative.

I started my own personal cash-transfer journey a few years ago. I decided I would give away a certain amount of money in cash each month. But who should I give it to? I found the practice of evaluating whether a person is needy enough to be an uncomfortable proposition—who am I to judge a competition of misery?

I wanted a certain randomness in the selection process. So, I decided on two things. First, as long as certain criteria were met, I wanted to give the money away randomly without asking (to women, the elderly, small businesses etc). Second, I didn't want to give it to non-profits, as I assumed that they were taken care of by others. 

A sucker for scale, I thought if only there was a database of all Indians, one could randomly pick a person out of a billion, and then send them money. But this could make people uncomfortable too. People want to make sure their money has the most impact and reaches the one who needs it the most. If I pick an Indian randomly from the census data, they will be less privileged than I am, but are they the most in need?

Aside, for some reason, the accountability we expect from our philanthropic donations doesn't apply when it comes to tax money, public expenditure, and voting, but that's a different topic.

Anyway, so how do I ensure our cash transfer reaches those most in need? In our day-to-day urban life, our face-to-face interactions with people less privileged than us are limited and self-selecting. There needs to be a way to leap beyond the immediate.

Hypothetically, I would want to click anywhere on the map of rural India and be able to select a household and send a cash transfer to them.

Let's say this random point I zoomed into in Jharkhand.

 

Source: https://maps.app.goo.gl/CtMkZ4FNP4x2UwGd6

Someone residing in the remote hamlet of Ganarbhara in Bishnugarh, Hazaribagh, Jharkhand, could undoubtedly make better use of the money I might otherwise spend on a fancy dinner in South Delhi. There's also a good chance that India's burdened civil society isn't reaching this area, especially given the absence of a paved road. I would, without much hesitation, proceed with a cash transfer, but how?

While identifying a household remotely is possible, I still need a mechanism to transfer money. If it's hard cash, I would need someone to physically deliver the money at a set frequency. If it's digital, I still require bank details for a one-time transfer. Both methods involve associated costs and, even if feasible, scalability is a concern.

Therefore, we need a readily available database of needy individuals and an inexpensive mechanism for money transfer. The minimum viable information for this database would include:
 

  1. Block, District, etc., to identify underdeveloped areas and Aspirational Districts
  2. Gender  (as cash transfers to women in the household lead to better outcomes for children and nutrition)
  3. Payment Information such as bank details etc to be able to transfer money remotely
     

This database should be at the population scale, utilizing an existing database because creating a new one at this scale is not feasible. Filtering people from a population database is more fair than building one from scratch for a program, as the latter will have many exclusion errors.

I imagine an online platform where anyone can select an amount to donate via UPI. The system would randomly select a recipient from the database as described above and pair the payment directly to them. The only fees involved would be for payment processing by a third party, facilitating a pure peer-to-peer transaction.

Simple, efficient, and direct

However, the simplicity of this idea hinges on having a ready database. Creating this database through field surveys, means tests, etc., would compromise its viability at the scale I envision.

My ambition seemed too high until last year when I inadvertently found myself involved in creating such a database. The Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS), one of the world's largest welfare programs, decided to make the Aadhaar Based Payment System (ABPS) the primary source for wage payments to its beneficiaries.

For those unfamiliar, MGNREGS entitles workers to 100 days of paid work from the government in labor-intensive tasks. The assumption is that only those in dire need would opt for MGNREGS over better-paying jobs. Payments are made directly into bank accounts every 15 days. Last year, ABPS was prioritized and mandated as the method of payment. The idea is to use Aadhaar as a universal bank account number, simplifying the process for both the government and beneficiaries. Once a bank account is linked with Aadhaar, the National Payment Corporation of India stores this information, allowing payments to be made by simply entering the Aadhaar number.

Although theoretically neat, this shift to ABPS had its challenges, including confusion, digital exclusion and protests on the ground. Despite these obstacles, as of this writing, 90% of those who have worked under MGNREGS in the last three years are receiving payments through ABPS. That's 129 million people, or about 9% of India's population.

With the database now including gender, geography, and a robust measure of need, MGNREGS could serve as a platform for a quasi-universal basic income (UBI). The government already has the IT infrastructure for bi-weekly payments, with 450 million transactions processed this financial year alone. 

However, concerns with this database include the potential for false positives and data contamination if MGNREGS were used for universal basic income purposes. Additionally, there are still areas unaware of MGNREGS despite its widespread presence.

Let us go back to the randomly chosen hamlet in Jharkhand. MGNREGS work has indeed taken place there, indicating that it indeed is possible to provide direct cash transfers in the form of basic income to those in need. 

 

Click here to read other posts from Harsh Nisar’s newsletter #sarkari where he writes about public interest data and technology, and demystifies the sarkari way of functioning.

Edited by Parth Sharma.

Image by Janvi Bokoliya.

Harsh Nisar

Harsh Nisar currently serves as Advisor (IT) to National Highways Authority of India. Previously, he served as Lead Data Scientist at the Ministry of Rural Development where he led a team that developed meaningful algorithmic and technology solutions to improve welfare delivery across rural roads, housing and livelihoods.