Characteristics of Countries At Different Levels of Development (Copy)
11.4.1 Population Growth and Structure
Measurement and Causes of Changes in:
- Birth Rate:
- Number of live births per 1,000 people per year.
- Influenced by:
- Cultural factors (religion, traditions favoring large families).
- Economic factors (cost of raising children, employment opportunities).
- Education and awareness (especially female education).
- Access to contraception and family planning services.
- Government policies (pro-natalist or anti-natalist).
- Death Rate:
- Number of deaths per 1,000 people per year.
- Influenced by:
- Healthcare quality and accessibility.
- Nutrition and sanitation.
- Disease prevalence and control measures.
- Natural disasters and conflicts.
- Infant Mortality Rate:
- Number of deaths of infants under one year old per 1,000 live births.
- A key indicator of healthcare, nutrition, and living conditions.
- Net Migration:
- Difference between immigrants and emigrants per 1,000 population.
- Influenced by:
- Economic opportunities abroad.
- Political stability and conflict.
- Environmental factors and natural disasters.
Optimum Population
- The population size that maximizes living standards by balancing resources and labour availability.
- If population too low: labour shortages and underutilisation of resources.
- If too high: unemployment, resource depletion, and lowered living standards.
- Optimum population depends on natural resources, technology, and economic policies.
Level of Urbanisation
- Percentage of total population living in urban areas.
- Developed countries: High urbanisation (often over 70-80%) due to industrialisation and services sector.
- Developing countries: Rapid urbanisation but many live in informal settlements/slums.
- Least Developed Countries: Lower urbanisation but increasing rapidly; challenges with infrastructure.
- Urbanisation drives economic growth but creates challenges: housing, pollution, infrastructure demand.
11.4.2 Income Distribution
Lorenz Curve Analysis
- Lorenz Curve:
- Graphical representation of income or wealth distribution within a country.
- Plots cumulative percentage of income earned against cumulative percentage of population, ordered from poorest to richest.
- The 45° line represents perfect equality.
- Interpretation:
- The more the curve bows away from the 45° line, the greater the inequality.
Gini Coefficient
- Definition:
- Numerical measure of inequality derived from the Lorenz curve.
- Calculated as the ratio of the area between the Lorenz curve and the line of equality (A) to the total area under the line of equality (A + B).
- Formula:
Gini Coefficient = A ÷ (A + B) - Values:
- 0 = perfect equality (everyone has same income).
- 1 = perfect inequality (one person has all income).
- Use:
- Compare income inequality across countries and over time.
11.4.3 Economic Structure
Employment Composition: Primary, Secondary, and Tertiary Sectors
- Primary Sector:
- Agriculture, fishing, mining, forestry.
- Dominant in low-income countries.
- Provides raw materials; employment is often high but productivity low.
- Secondary Sector:
- Manufacturing, construction, industrial production.
- Growth marks industrialisation and economic development.
- Higher productivity and wages than primary sector.
- Tertiary Sector:
- Services such as education, healthcare, finance, retail, government.
- Dominant in developed economies.
- Employment in services increases with development.
- Structural Change:
- Development often accompanied by decline in primary sector employment and growth in secondary and tertiary sectors.
Pattern of Trade at Different Levels of Development
- Developing Countries:
- Export primarily primary commodities (agricultural products, minerals).
- Import manufactured goods and technology.
- Vulnerable to commodity price volatility and terms of trade deterioration.
- Developed Countries:
- Export manufactured goods and services.
- Import raw materials and commodities.
- Trade more diversified and value-added products.
- Middle-Income Countries:
- Often become manufacturing exporters (e.g., China, Mexico).
- Transition from primary goods exporters to industrial exporters.
Expanded Explanations and Examples
- Population Growth:
- Countries like Nigeria have high birth rates and declining death rates, leading to rapid population growth.
- Japan faces low birth rates and an ageing population, causing population decline and labour shortages.
- Urbanisation:
- Mumbai (India) is an example of rapid urbanisation with significant slum populations.
- In contrast, New York City has high urbanisation with well-developed infrastructure.
- Income Distribution:
- South Africa shows one of the highest Gini coefficients, indicating extreme inequality.
- Scandinavian countries have low Gini coefficients, reflecting more equal income distribution.
- Economic Structure:
- Ethiopia’s economy is predominantly primary sector.
- Germany’s economy is dominated by secondary and tertiary sectors.
- Trade Patterns:
- Venezuela relies heavily on oil exports (primary commodities).
- Germany and Japan export cars and machinery (manufactured goods).
Diagrams
Diagram 1: Population Growth Components
Population Growth = Birth Rate - Death Rate + Net Migration
↑ Birth Rate ↓ Death Rate → Population Growth ↑
Net Migration ↑ → Population Change ↑
Diagram 2: Lorenz Curve and Gini Coefficient
Income Share (%)
↑
| ••••••••••••••••••••••
| • •
| • •
| • •
| • •
| • •
|___•__________________________•_________→ Population (%)
- Line of equality is 45°
- Area between line and curve = A
- Total area under line = A + B
- Gini = A/(A + B)
Diagram 3: Employment by Sector Over Development
Employment %
↑
| Primary Sector ↓
| Secondary Sector (rise then fall)
| Tertiary Sector ↑
|____________________________→ Level of Development
Diagram 4: Trade Patterns by Development Level
Exports (%)
↑
| Developed Countries: Manufactured Goods ↑
| Developing Countries: Primary Commodities ↑
| Middle-Income Countries: Manufacturing ↑
|_________________________________________→ Level of Development
Written and Compiled By Sir Hunain Zia, World Record Holder With 154 Total A Grades, 7 Distinctions and 11 World Records For Educate A Change A2 Level Economics Full Scale Course
