The Preston Curve: Exploring the Relationship between Life Expectancy and Per Capita Income

The Preston Curve: Exploring the Relationship between Life Expectancy and Per Capita Income

The Preston curve, proposed by Samuel H. Preston in 1975, delineates a relationship between life expectancy and per capita income in countries. It highlights that as per capita income rises, so does life expectancy, albeit with diminishing returns.

Initial Observations:

  • Preston observed that wealthier countries generally exhibit longer life spans compared to poorer countries.
  • Factors contributing to this phenomenon include better access to healthcare, education, cleaner environments, and improved nutrition.

Impact of Economic Growth:

  • Initial stages of economic growth in a country lead to a significant increase in life expectancy due to improved living standards, healthcare, and nutrition.
  • Example: India witnessed a rise in per capita income from ₹9,000 in 1947 to ₹55,000 in 2011, accompanied by an increase in life expectancy from 32 years to over 66 years.

Diminishing Returns:

  • The positive correlation between per capita income and life expectancy eventually flattens out.
  • Beyond a certain point, further increases in per capita income do not substantially enhance life expectancy.

Broad Applicability:

  • The Preston curve’s principles extend beyond life expectancy to other development indicators such as infant and maternal mortality, education, and healthcare.
  • Higher per capita income correlates with improvements in these indicators.

Debates on Causality:

  • Economists differ on whether economic growth directly causes improvements in development indicators.
  • Some argue that economic growth drives development outcomes, citing examples like India and China.
  • Others contend that improvements in life expectancy, especially at lower income levels, stem from public investments in healthcare and technology.

Influence of Technology:

  • Technological advancements play a crucial role in improving life expectancy and development indicators.
  • Poor countries can benefit from technology transfers from richer nations, thereby improving their development outcomes despite low income levels.
  • Critics argue that technological advancement itself is linked to income levels, giving richer countries an initial advantage.

Multiple Choice Questions (MCQs):

  1. Who proposed the Preston curve?
    • A) Samuel H. Preston
    • B) Adam Smith
    • C) Karl Marx
    • D) John Maynard Keynes
    • Answer: A) Samuel H. Preston
  2. What is the relationship between per capita income and life expectancy according to the Preston curve?
    • A) Negative correlation
    • B) Positive correlation with diminishing returns
    • C) No correlation
    • D) Inverse correlation
    • Answer: B) Positive correlation with diminishing returns
  3. What factors contribute to the initial increase in life expectancy during economic growth, as per the Preston curve?
    • A) Better access to healthcare and education
    • B) Increased pollution
    • C) Lack of clean water
    • D) Decreased nutrition
    • Answer: A) Better access to healthcare and education
  4. Beyond what point does the positive relationship between per capita income and life expectancy begin to flatten out?
    • A) After a country achieves middle-income status
    • B) After a country becomes a high-income nation
    • C) After a country’s per capita income reaches a certain threshold
    • D) After a country’s per capita income surpasses $100,000
    • Answer: C) After a country’s per capita income reaches a certain threshold
  5. Which viewpoint regarding the Preston curve emphasizes the role of public investment in healthcare and technology?
    • A) Economic growth drives development outcomes
    • B) Technological advancement is linked to income levels
    • C) Improvement in life expectancy occurs due to a shift in the curve
    • D) Higher life expectancy is achieved through technology transfers
    • Answer: C) Improvement in life expectancy occurs due to a shift in the curve