4.2: Demographic transition Flashcards
Changes in death rate and birth rate in stage 1
- DR is high fluctuating/stationary - explained by periodic famines, outbreaks of disease, poor hygiene, dirty water
- BR is very high
Changes in death rate and birth rate in stage 2
- DR falls rapidly - explained by better nutrition following improved food production and transport, clean water, efficient sewerage system, improved medical care, vaccinations and antibiotics
- BR stays high - explained by people still compensating for high infant mortality, early marriage/ traditional roles of women, low levels of female employment, little access to contraception
Changes in death rate and birth rate in stage 3
- DR falls more slowly - can be explained by improved standard of living for more members of society
- BR falls rapidly - can be explained by contraception more widely available, economic changes leading to more women in paid work and children at school, urbanisation
Changes in death rate and birth rate in stage 4
- DR stabalises
- BR stabalises at a low level
Changes in death rate and birth rate in stage 5
- DR stable or increases slightly due to ageing population
- BR falls bellow DR
Examples of countries in (end of) stage 2 - early expanding
- Niger
- Uganda
- Afghanistan
Examples of countries in stage 3 - late expanding
- Ghana
- Botswana
- Kenya
Examples of countries in stage 4 - low fluctuating
- USA
- UK
- Norway
- Portugal
Examples of countries in stage 5 (declining)
- Italy
- Russia
- Japan
- Greece
Learn to draw the DTM from memory + examples for each stage
See NOTES PAGE
- The model is best thought of as a sort of pathway followed by most countries as they undergo economic development
- It starts with high rates of fertility and mortality
- Mortality then begins to fall, and it is some time before fertility does likewise
- Eventually both fertility and mortality flatten off at low levels.
Assess the reliability of the DTM: 1. Trends in vital rates
- Data for actual countries show trends in falling vital rates are often much bumpier than the smooth declines suggested by the model
- E.g. the DR in many British cities rose initially, due to insanitary conditions from rapid growth (and cheap gin!), and it only began to fall after advances were made in medicine and provision of sanitation and clean piped water
- The falling BR can also have brief upward reversals.
Assess the reliability of the DTM: 2. Gradual or steep changes
- In today’s HICs, mortality decline was gradual, and linked to progress in living standards and advances in medicine
- However, in many LICs and MICs it has been more rapid due to import of modern technology
- e.g., international provision of vaccination programmes, antibiotics, insecticides (to control malaria), better maternal and neo-natal care and better farming practices even where many still lack basics of sanitation, clean water and decent housing
- In other words, many LICs have managed to reduce DRs (Stage 2) without experiencing significant economic development or industrialisation.
Assess the reliability of the DTM: 3. Absolute numbers
- In LICs, absolute numbers in terms of population increase and growth rates have been far higher than in C19th Europe.
Assess the reliability of the DTM: 4. Migration
- The model ignores the varying impacts of migration
- For example, in those countries that grew as a consequence of emigration from Europe (e.g. USA, Canada, Australia) the indigenous populations were reduced in number (by 90% in the Americas) so did not get to go through the DTM themselves.
- Another example of the role of migration is that if a country experiences an influx of migrants of child-bearing age with a culture of larger families, the BR will increase. Indeed, the UK entered a period of natural decrease in the 1970s, signalling the start of stage 5, but moved back into stage 4 due to migration, particularly after 2001
- This also illustrates a country may go into reverse in the model - something it did not originally predict
Assess the reliability of the DTM: 5. Other factors of development
- Economic development is not the only important factor in driving down BRs
- Political, religious and cultural factors also affect fertility
- E.g. the one child policy in China led to a dramatic fall in fertility from 1980, well before economic growth took off
- Conversely, BRs are slow to fall where there is cultural pressure to have children and old-fashioned gender roles
- In summary, if the model is to be applied to a wider range of circumstances than the original, narrow, Europe-based sample it is vital that circumstances other than economic wealth are considered
Assess the reliability of the DTM: 6. Definite/fixed trends?
- The model predicts that in time all countries will go through the four stages
- However, it is possible that some of the least developed countries (LDCs/ ‘The Bottom Billion’) are stuck at the beginning of stage 3, with continued high fertility, or may even go back (!) to stage 2 if DRs rise
- Fertility rates may remain high if they don’t experience industrialisation, improved education and the emancipation of women (choice over marriage, family size, opportunities to do paid work)
- Mortality rates may increase due to diseases, famine/ malnutrition and civil war