MALTHUS-Reading
Global Economic History: The Economics of the Malthusian Trap
Overview of the Malthusian Trap
Global economic history is summarized by a "hockey stick" graph showing:
Constant living standards (GDP per capita) from the 11th to the 17th century.
Steady improvements in living standards post-17th century.
Thomas Robert Malthus (1766-1834) provided a pessimistic model for this period, willing to describe dynamics between population growth and resource limitations.
Malthus' Model of Economic and Demographic Development
Resources, particularly land, are finite in an agricultural economy.
Population pressures on those resources lead to:
Catastrophes such as famines, wars, or epidemics when the population exceeds resources.
A return to subsistence living standards post-catastrophes.
Proposed fertility controls to avoid disasters:
Suggested facilitating population decline through natural mortality rather than trying to mitigate its effects.
Supported policies that would naturally encourage mortality in the poor based on the principle of natural checks in population stability.
Historical consistency with Malthus' theories:
Economic cycles during centuries display oscillations between population and resource availability.
E.g., income in ancient Greece (400 BC) was on par with that in Britain (1850).
Slow population growth pre-1750.
Negative correlation between wages and population sizes:
Example: The Black Death resulted in increased real wages as population declined.
Breaking the Malthusian Trap
The question arises: How did economies break the link between population and resource availability?
Analysis of the assumptions of the Malthusian model is necessary to find this out.
Demographic Growth
Population changes occur gradually, influenced by:
Birth rates (B) vs. mortality rates (M).
Simple formula for demographic growth (RDG = B - M).
Example:
In a specific country, with 20 births and 10 deaths per 1000 inhabitants, the RDG is 1%.
Important aspects:
Not all deaths impact demographic data similarly (e.g., age at death).
Key variables:
Fertility Rate (FR): Average number of children per woman.
Life Expectancy (e0): Average lifespan indicating health and mortality impact.
Societies may transition through three phases based on fertility and life expectancy:
High mortality & fertility → Low mortality & fertility phases.
Understanding Malthusian Model Assumptions
Population Growth: In Malthus' view, population grows geometrically while resources grow arithmetically.
Labor Returns: Diminishing returns occur as land/labor increase in saturation:
Illustration shows average output diminishing as more farmers crowd the same land.
E.g., 800 farmers produce a certain yield; doubling farmers reduces average yield per farmer.