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
Examples of the DTM model not applying to certain nations: 1. Rapid transition through stages e.g Bangladesh and India
- Fertility decline in some countries has been accelerated, with a more rapid transition through stages 2 and 3 as a result of imported medical knowledge/ technology and increased abilities of national government to promote effective family planning programmes
- For example, Bangladesh and India experienced aggressive promotion of contraception through government programs, which did not take place in the countries upon which the DTM is based.
- China’s one child policy is the most extreme example of government intervention.
Examples of the DTM model not applying to certain nations: 2. Rapid transition through model e.g. in SE Asia
- NICs in SE Asia (e.g., Hong Kong, Taiwan, Malaysia) have also progressed through the demographic transition more rapidly (with earlier fertility declines than might have been expected)
- This is due to rapid economic growth/ globalisation (e.g., employment through TNCs such as Nike outsourcing manufacturing and services such as call centres), particularly widening choices available to women.
Examples of the DTM model not applying to certain nations: 3. Much faster decline in death rates e.g. sub-Saharan countries
- Many sub-Saharan countries experienced a much faster decline in death rates (stage 2) than took place in 19th century Europe because they could import medical technologies (via NGO and charitable inputs)
- However, many cannot progress through stage 3 to stage 4 because birth rates remain high
- The 19th century Europeans found manufacturing employment in their towns, but many sub-Saharan countries have experienced ‘urbanisation without industrialisation’
- Without such job opportunities, people may not see the benefit of fewer children so the move through stage 3 to 4 is delayed
- Another difference is cultural and religious differences that maintain traditional attitudes to women’s role
- There is also nothing to guarantee that death rates won’t rise again, due to disease, conflict or famine (Malthus’ ‘checks to population growth’).
How is the DTM still useful
- It can certainly be used to describe the experiences to date of many countries with mortality falling before fertility. Then we can examine the factors driving these changes.
- Use of the model enables the future transition of ‘developing’ countries to be predicted. Timings may be different, either slowed or accelerated, but the model is useful in enabling country comparisons to take place
- It highlights the fact that the experiences of countries in the rest of the world cannot entirely replicate the experiences of HICs – different ESPE conditions exist
Compare the UK and Thailand: current BRs and DRs
UK: population 67 mil
* BR: 11
* DR: 9
* TFR: 1.6
Thailand: population 69 mil
* BR: 11
* DR: 8
* TFR: 1.5
Compare the UK and Thailand: Stage 1/2
UK: Transition from stage 1 to 2 began around 1740-60.
* Stage 2 ended around 1880.
* Stage 2 took over 100 years.
* Medical advances that reduced mortality were spread out over a long period. Jenner – smallpox vaccine 1798, TB treated by early 20th century. Over 200 years to fall from over 30/1000 to less than 15
Thailand: Transition from stage 1 to 2 began around 1920
* Stage 2 ended around 1970.
* Stage 2 took 50 years.
* After WW2 there were increased global initiatives to help development – imported large body of existing medical knowledge, vaccines and sanitary advances. DR fell from 35/1000 in 1945 to less than 10 by 1970.
Compare the UK and Thailand: Stage 3
UK: Stage 3 began around 1880, ended around 1930-40.
* Stage 3 took around 60 years
* Urbanisation, growth in female literacy and participation in paid work. Raising children became more expensive as length of time in school increased.
Thailand: stage 3 began around 1970, ended around 2000
* Stage 3 took only 30 years.
* TFR in 1969 was 6.5 and 3% growth. Few using contraception, rural villagers still regarded kids as an asset. 1970 – National Family Planning Programme launched. Public info., education, health centres, free contraception, 72% contraceptive use by 1999. TFR at 1.7 and 0.8% growth. Female literacy rose - marry later, use contraception, more employable. Urbanisation – Bangkok grew 5% pa in 1970s. Children as an expense – education, healthcare, consumer goods, grandparents in rural areas so childcare costs increase.
Compare the UK and Thailand: stage 4
UK: Transition from Stage 3 to 4:
1930-40
Thailand: Transition from Stage 3 to 4:
2000