Son preference is the systematic cultural and structural valuation of male children over female children within a family and a society. It is not merely a sentiment or a wish; it is a preference with demographic consequences, because it is acted upon — through the timing and stopping of childbearing, through selective abortion, and through the differential allocation of food, health care and schooling among children already born. Sociologically the important claim is that son preference is rational within a given kinship and property system: a family that will be supported in old age by a son, whose line is continued by a son, whose salvation depends on a son's ritual performance, and which must transfer wealth to marry a daughter, is not behaving irrationally when it prefers boys. The preference is a symptom; the kinship structure is the disease.

The corresponding concept of daughter aversion is sometimes preferred by scholars, since in a two-child regime the operative attitude is often not a desire for many sons but an unwillingness to have more than one daughter.

Structural roots

Six interlocking supports hold son preference in place, and Leela Dube's work on kinship shows how tightly they are bound together.

  • Patrilineal descent. The son continues the lineage and the family name; the daughter is a temporary member of her natal home, paraya dhan — another's wealth.
  • Patrilocal residence. A married daughter physically leaves; investment in her benefits another household, producing what economists have called the problem of watering a neighbour's plant.
  • Dowry. Marriage requires an outward transfer of resources, so a daughter is constructed as a liability whose cost rises with her education and the status of the groom sought.
  • Inheritance. Custom directs land and enterprise to sons; the Hindu Succession (Amendment) Act, 2005 gave daughters equal coparcenary rights in law, but daughters frequently relinquish claims to preserve relations with brothers.
  • Ritual obligation. In much Hindu practice the son lights the funeral pyre and performs the rites believed necessary for the parent's afterlife — an obligation no daughter can discharge, giving the preference sacred backing.
  • Old-age security. In the absence of universal pensions, the co-resident son and daughter-in-law are the social security system.

Consequences

The most visible consequence is the sex ratio at birth. Where a normal ratio is roughly 105 male births per 100 female, the Census of India and the Sample Registration System have recorded values far above that, driven by sex-selective abortion after ultrasound-based prenatal sex determination became widely available from the 1980s. The child sex ratio, measured for ages zero to six, fell steadily across successive censuses through 2011 before more recent survey rounds suggested some improvement. Crucially, sex selection is concentrated at higher birth orders: families increasingly accept a first daughter and eliminate subsequent female foetuses, so falling fertility intensifies the pressure on each birth.

Beyond birth lies postnatal discrimination. Monica Das Gupta's classic study of rural Punjab (1987) demonstrated that excess female child mortality was not spread evenly but was concentrated among higher-birth-order girls with elder sisters, and was strongest among educated, better-off mothers — evidence of deliberate allocation rather than general poverty. National Family Health Survey rounds have repeatedly found girls less likely than boys to be fully immunised or taken for treatment, and shorter durations of breastfeeding for daughters.

Amartya Sen gave the phenomenon its most influential formulation. Comparing observed sex ratios in South Asia, West Asia, China and North Africa with the ratios expected under equal care, he estimated in 1990 that more than a hundred million women were "missing" — a cumulative deficit produced by mortality differentials, and later also by sex selection. The missing women thesis transformed a moral intuition into a measurable quantity and connected gender inequality to Sen's wider argument about capabilities: female literacy, property rights and paid employment outside the home raise women's agency, and it is agency, not income alone, that shifts survival outcomes. Longer-term consequences include marriage squeeze, bride shortage in male-surplus districts, long-distance and cross-regional bride migration, and trafficking.

The PCPNDT Act and the limits of law

India's legislative response was the Pre-conception and Pre-natal Diagnostic Techniques (Prohibition of Sex Selection) Act, 1994, strengthened by amendment in 2003, which bans the communication of foetal sex and regulates diagnostic clinics. Its record illustrates the sociological limits of legislation. The offence is consensual and leaves no complainant, since parents, doctor and clinic all share an interest in silence; enforcement depends on decoy operations and record inspection; convictions have been few relative to the scale of the practice. Prohibition also raises a genuine dilemma for feminists who defend abortion rights while opposing sex selection, and it can push the procedure into unsafe or unregulated settings. The lesson is that law can raise the cost of a practice but cannot by itself dismantle the incentive structure that produces the demand — hence complementary approaches such as conditional cash transfers for girls, though these too have been criticised for reinforcing the notion that a daughter needs to be compensated for.

Regional variation and the paradox of prosperity

Son preference in India is sharply regionalised. The most adverse child sex ratios have been recorded in the prosperous north-western belt — Haryana, Punjab, western Uttar Pradesh, Rajasthan, Gujarat, Delhi — while Kerala and the north-eastern states have shown far more balanced ratios, matching the north-south contrast in kinship autonomy identified by Dyson and Moore. This produces the paradox of prosperity: the districts with the highest incomes, best health infrastructure and highest female literacy have often had the worst sex ratios. Three mechanisms explain it. Wealth buys access to ultrasound and safe abortion; fertility decline compresses the number of chances to obtain a son; and diffusion of the small-family norm spreads sex selection down the class structure and outward from urban to rural areas. Development, in short, supplies the means of discrimination while doing nothing about the motive.

For the UPSC answer

Lead with the structural argument — son preference follows from patriliny, patrilocality, dowry, inheritance and ritual, so it is rational within the system and cannot be dismissed as ignorance. Anchor the demographic discussion in Sen's missing women thesis and Das Gupta's Punjab findings, and use the Census child sex ratio and NFHS trends qualitatively rather than quoting figures you are unsure of. Always include the paradox of prosperity and the concentration of sex selection at higher birth orders, since both cut against the examiner's expected answer that development and education will solve the problem. Conclude by weighing the PCPNDT Act against the incentive structure: the durable remedy lies in daughters' inheritance rights, female employment and old-age security, not in prohibition alone.

References & further reading

  1. Sen, A. (1990). More Than 100 Million Women Are Missing. New York Review of Books, 37(20).
  2. Sen, A. (1992). Missing Women. British Medical Journal, 304(6827).
  3. Das Gupta, M. (1987). Selective Discrimination against Female Children in Rural Punjab, India. Population and Development Review, 13(1).
  4. Dube, L. (1997). Women and Kinship: Comparative Perspectives on Gender in South and South-East Asia. United Nations University Press.
  5. Patel, T. (ed.) (2007). Sex-Selective Abortion in India: Gender, Society and New Reproductive Technologies. Sage.
  6. Guilmoto, C. Z. (2009). The Sex Ratio Transition in Asia. Population and Development Review, 35(3).