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Population policy is suddenly in the news in India with States such as Assam and Uttar Pradesh proposing to bring in or bringing in draft legislation aimed at controlling their populations.

  • The Uttar Pradesh Population (Control, Stabilisation and Welfare) Bill of 2021 promotes a two-child policy, according to which those people having more than two children will be barred from contesting local body elections and become ineligible to apply for State government jobs.
  • A similar law has also been proposed in Assam, where the the aim of the policy is to reduce the total fertility rate in his State.

According population projection, published by the Union Ministry of Health and Family Welfare in 2019, U.P. will reach a replacement rate (the rate at which women give birth to enough babies to sustain population levels) of 2.1 by 2025, and Assam by 2020.

If the replacement fertility rate has already been achieved in Assam and will be achieved by 2025 in U.P., what is the need for any drastic population policy?

Decreasing fertility rates

  • According to the National Family Health Survey (NFHS)-2 data, the total fertility rate (TFR), which is the average number of children that women of reproductive age group have had in their lifetime, in 1998-99 in U.P. was 3.87 for Hindus and 4.76 for Muslims.
  • In 2015-16, it decreased to 2.67 for Hindus and 3.1 for Muslims. This means that the TFR declined by 1.2 for Hindus and by 1.66 for Muslims, which is higher.
  • The fertility trend for Assam is even starker. According to NFHS data, Assam had a TFR of 3.5 in 1992-93, which decreased to 1.9 in 2019-20.
  • Even after such a drastic decline in TFR, the enthusiasm to decrease it even further has no merit other than scoring political points.
  • In 1998-99, the TFR for Hindus in Assam was 2.0, which declined to 1.59 in 2019-20. For Muslims, it declined from 3.05 to 2.38 in the same period.
  • While the fertility rate of Hindus is less than the replacement level, the fertility rate of Muslims is near that level and will reach there in the near future without any policy intervention.

The point is that fertility rate does not depend on religion. It depends on socio-economic characteristics like education, income, maternal and child health conditions, and other associated factors.

Preference for a male child

The preceding discussion pointed out that the population control policy of imposing a two-child norm is not supported by data. However, it can have other unintended consequences.

Generally, any discussion on fertility focuses on policy recommendations regarding increasing female education, which is no doubt important. However, a single-minded focus on this policy instrument ignores the issue of a preference for male children, which is dominant in the country.

An earlier study of women’s fertility in Hindi heartland States showed that the proportion of graduate women who had two living daughters but still wanted another child was 23.7% in Bihar, 27.3% in U.P. and 28.3% in Rajasthan.

This is nothing but an indicator of a preference for sons in a patriarchal and caste-dominated society. Given such a preference for male children, the two-child norm will only increase sex-selective abortions of girl children, and female infanticide, since couples will want to maintain both the two-child norm as proposed to be enacted by the government as well as their preference for sons.

Problem of ageing

The experience of China also shows that if the state imposes its decision on families’ fertility choices, such a decision is bound to fail. With the one-child policy, the proportion of the aged population is increasing in China.

Fewer younger workers are available, which might result in a slowdown of economic growth. As a result, the government has been forced to relax the one-child policy and adopt a three-child policy.

In India too, as per the population projection report, the proportion of people aged 60 years and above will increase from 13.8% in 2011 to 23.1% in 2036. The two-child norm will only further aggravate the problem of ageing.

Conclusion

The lesson to be drawn is that the decision on children is best made by the family, which can be nudged towards making choices that ensure a stable population growth.

As a famous demographer argued, the fertility behaviour of a couple is a “calculus of conscious choice”. India’s decades-old population policy has achieved replacement level fertility in the country without taking any coercive measures.

Governments should have faith in these time-tested policies and respect the choices of people rather than impose warped and motivated ideas regarding demography on the people.


 

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  • Steve Ovett, the famous British middle-distance athlete, won the 800-metres gold medal at the Moscow Olympics of 1980. Just a few days later, he was about to win a 5,000-metres race at London’s Crystal Palace. Known for his burst of acceleration on the home stretch, he had supreme confidence in his ability to out-sprint rivals. With the final 100 metres remaining,

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    Ovett waved to the crowd and raised a hand in triumph. But he had celebrated a bit too early. At the finishing line, Ireland’s John Treacy edged past Ovett. For those few moments, Ovett had lost his sense of reality and ignored the possibility of a negative event.

    This analogy works well for the India story and our policy failures , including during the ongoing covid pandemic. While we have never been as well prepared or had significant successes in terms of growth stability as Ovett did in his illustrious running career, we tend to celebrate too early. Indeed, we have done so many times before.

    It is as if we’re convinced that India is destined for greater heights, come what may, and so we never run through the finish line. Do we and our policymakers suffer from a collective optimism bias, which, as the Nobel Prize winner Daniel Kahneman once wrote, “may well be the most significant of the cognitive biases”? The optimism bias arises from mistaken beliefs which form expectations that are better than the reality. It makes us underestimate chances of a negative outcome and ignore warnings repeatedly.

    The Indian economy had a dream run for five years from 2003-04 to 2007-08, with an average annual growth rate of around 9%. Many believed that India was on its way to clocking consistent double-digit growth and comparisons with China were rife. It was conveniently overlooked that this output expansion had come mainly came from a few sectors: automobiles, telecom and business services.

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    India seemed to emerge from the 2008 global financial crisis relatively unscathed. But, a temporary demand push had played a role in the revival—the incomes of many households, both rural and urban, had shot up. Fiscal stimulus to the rural economy and implementation of the Sixth Pay Commission scales had led to the salaries of around 20% of organized-sector employees jumping up. We celebrated, but once again, neither did we resolve the crisis brewing elsewhere in India’s banking sector, nor did we improve our capacity for healthcare or quality education.

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