Population Policies: Anti-natalist and Pro-natalist Case Studies

Why governments try to steer fertility. A state with rapid growth fears it cannot feed, school and employ the next generation; a state with fertility far below replacement fears a shrinking workforce paying for a growing number of pensioners. Both reach for policy. Anti-natalist policies aim to lower fertility; pro-natalist policies aim to raise it. The evidence of the last half-century is that the first is far easier than the second, and that neither works as well as the forces it tries to imitate.

China's one-child policy, 1979–2015. Total fertility was already falling — from about 6 in 1970 to about 2.8 by 1979 — when the state imposed a one-child limit enforced by fines, loss of employment, forced abortion and sterilisation in some provinces, and rewards for compliance, with exemptions for rural families and minorities. Fertility fell to about 1.2 by 2020. The government claims 400 million births were prevented; demographers argue most of that decline would have happened anyway through urbanisation and education, as it did in Thailand and Iran without coercion. The unintended consequences are now the policy's legacy: a sex ratio at birth of about 118 boys per 100 girls from sex-selective abortion, tens of millions of men who cannot marry, the fastest ageing population in history, and the 4-2-1 structure in which one adult supports two parents and four grandparents. The limit was raised to two children in 2015 and three in 2021; fertility did not respond.

France's pro-natalism since 1939. France has paid families to have children for eighty years: allowances rising with the third child, near-free public nurseries, paid parental leave, income tax reduced by family size, discounted travel for large families. Fertility is about 1.8–2.0, the highest in the European Union — but still below replacement, at a cost of about 3–4% of GDP, and studies attribute only 0.2–0.3 children per woman to the policies themselves; immigration supplies most of France's population growth. Raising fertility is hard because the binding constraints — housing, secure jobs, time, the career cost borne by mothers — are not removed by a cheque.

Evaluating a population policy. Four questions: effectiveness — how much of the change in fertility is due to the policy rather than to development; cost — in money and in the human rights of those coerced; consequences — the age and sex structure thirty years later, which the policy's authors rarely see; and alternatives — since female education, urbanisation and access to contraception lower fertility more reliably than any law, and family-friendly employment raises it more than any allowance. The strongest answers note that the same tools serve different environmental value systems: the ecocentrist sees population control as necessary for the planet, the anthropocentrist asks whose rights it costs.