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Income and fertility

Income and fertility is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Income and fertility rather than just read about it. In short: There is generally an inverse correlation between monetary income and the total fertility rate within and between nations. The higher the degree of education and GDP per capita of a human population, subpopulation or social stratum, the fewer children are born in any developed country.

Income and fertility — main illustration
Income and fertility — illustration

Key takeaways

  • Income and fertility belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Income and fertility to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Income and fertility from memory before moving on to harder problems.

Reference excerpt

There is generally an inverse correlation between monetary income and the total fertility rate within and between nations. The higher the degree of education and GDP per capita of a human population, subpopulation or social stratum, the fewer children are born in any developed country. In a 1974 United Nations population conference in Bucharest, Karan Singh, a former minister of population in India, illustrated this trend by stating "Development is the best contraceptive." In 2015, this thesis was supported by Vogl, T.S., who concluded that increasing the cumulative educational attainment of a generation of parents was by far the most important predictor of the inverse correlation between income and fertility based on a sample of 48 developing countries. Generally a developed country has a lower fertility rate while a less economically developed country has a higher fertility rate. For example the total fertility rate for Japan, a developed country with per capita GDP of US$32,600 in 2009, was 1.22 children born per woman. But total fertility rate in Ethiopia, with a per capita GDP of $900 in 2009, was 6.17 children born per woman.

Demographic–economic paradox Herwig Birg has called the inverse relationship between income and fertility a "demo-economic paradox". Evolutionary biology predicts that more successful individuals (and by analogy countries) should seek to develop optimum conditions for their life and reproduction. However, in the last half of the 20th century it has become clear that the economic success of developed countries is being counterbalanced by a demographic failure, a sub-replacement fertility that may prove destructive for their future economies and societies.

Causes and related factors

It is hypothesized that the observed trend in many countries of having fewer children has come about as a response to increased life expectancy, reduced child mortality, improved female literacy and independence, and urbanization that all result from increased GDP per capita, consistent with the demographic transition model. The increase in GDP in Eastern Europe after 1990 has been correlated with childbearing postponement and a sharp decline in fertility. In developed countries where birth control is the norm, increased income is likewise associated with decreased fertility. Theories behind this include:

People earning more have a higher opportunity cost if they focus on childbirth and parenting rather than their continued career. Women who can economically sustain themselves have less incentive to become married. Higher-income parents value quality over quantity and so spend their resources on fewer children. From the 1970s to the late 2000s, parental spending increased. At the same time, investment in male and female children changed substantially: in the early 1970s, households with only female children spent significantly less than parents in households with only male children, but by the 1990s spending had equalized, and by the late 2000s girls gained an advantage. In addition, before the 1990s, parents spent the most on children in their teens. After the 1990s, however, the highest spending was on children under age 6 and in their mid-20s. The motives for the increase in parental investment in children, both in terms of financial and time investment are diverse. Anne H. Gauthier and Petra W. de Jong evidence that for middle-income parents in Canada and the US these motives are the goal of providing children with human and social capital to improve their future labor market prospects, the pressures on parents to conform to new societal standards of good and intensive parenting, and the experience of parenting as part of self-development. Philip H. Brown analyzed parenting patterns in rural China and found that more educated parents make greater educational investments in both goods and time with the objective of higher returns to education for children. Religion sometimes modifies the effect; higher income is associated with slightly increased fertility among Catholic couples but is associated with slightly decreased fertility among Protestant couples. Scholars also find a link between the European Marriage Pattern, which is marked by comparatively late marriage and consequently decreased fertility, and the economic growth. This demographic pattern is considered to influence the stock of human capital and thus to contribute to Western Europe's development advantage. Ansley Coale's Three Preconditions for Decline in Fertility asserts that increases in a society's income may increase its fertility, but only if three preconditions are met, summarized as "ready, willing and able". People will respond to economic and social opportunities that make it advantageous to limit fertility, considering the economic and psychosocial costs such as the cost of birth control or abortions. The review of the application of the traditional micro-economic models to the analysis of fertility decisions shows that, from economic point of view, children either are considered to yield utility directly, or are not desired for themselves, but are by-products of sexual activity or investment goods.

Consequences

Across countries there is a strong negative correlation between gross domestic product and fertility, and ultimately it is proven that a strong negative correlation exists between household income and fertility. A reduction in fertility can lead to an aging population, which can lead to a variety of problems, as with the demographics of Japan. Some scholars have observed a dramatic increase in the proportion of young adults living with their parents in Mediterranean Europe. This is a worrisome trend, since this shift in the timing of adulthood could seriously affect the labor supply of young people, overall fertility rates, and European pay-as-you-go pension systems. This fact indicates that declining fertility rates in advanced economies may tend to be self-reinforcing and further exacerbate the situation. A related concern is that high birth rates tend to place a greater burden of child rearing and education on populations already struggling with poverty. Consequently, inequality lowers average education and hampers economic growth. Also, in countries with a high burden of this kind, a reduction in fertility can hamper economic growth as well as the other way around. Richer countries have a lower fertility rate than poorer ones, and high income families have fewer kids than low-income ones.

… excerpt ends here. Continue reading the full article.

Illustrations

Income and fertility: Graph of total fertility rate vs. GDP (PPP) per capita of the corresponding country, 2015[1][2]
Graph of total fertility rate vs. GDP (PPP) per capita of the corresponding country, 2015[1][2]
Income and fertility: Demographic transition#cite note-DemenyAndMcNicoll-1
Demographic transition#cite note-DemenyAndMcNicoll-1
Income and fertility: TFR vs HDI showing "J curve", from UN Human Development Report 2009
TFR vs HDI showing "J curve", from UN Human Development Report 2009

Worked examples

Example 1 — a first encounter with Income and fertility

Start with the simplest possible case. Write down what Income and fertility claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Income and fertility before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Income and fertility ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Income and fertility

In research
Income and fertility appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Income and fertility in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Income and fertility is common in secondary-school and first-year university syllabi. It links to neighbouring topics Demographic economics, Demography, Fertility, so understanding it makes those chapters shorter.
In everyday life
Look for Income and fertility outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Income and fertility in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Income and fertility means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Income and fertility out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Income and fertility in simple terms?

There is generally an inverse correlation between monetary income and the total fertility rate within and between nations. The higher the degree of education and GDP per capita of a human population, subpopulation or social stratum, the fewer children are born in any developed country.

Why does Income and fertility matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Income and fertility?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Income and fertility.

Tags

  • Demographic economics
  • Demography
  • Fertility

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