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Demographic transition

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--> In demography, the term demographic transition is a theory describing a possible transition from high birth rates and death rates to low birth and death rates as part of the economic development of a country from a pre-industrial to an industrialized economy. Usually it is described through the "Demographic Transition Model" (DTM) that describes the population changes over time. It is based on an interpretation begun in 1929 by the American demographer Warren Thompson of prior observed changes, or transitions, in birth and death rates in industrialized societies over the past two hundred years. Most developed countries are already in stage four of the model, the majority of developing countries are presumed to be in stage 2 or stage 3, and no country is currently still in stage 1. The model has explained human population evolution relatively well in Europe and other highly developed countries; the model is often applied to lesser developed countries to allay concerns regarding overpopulation, without proof that the underlying dynamics will allow these countries to trace similar evolution paths as the European and other Western countries.

Origins Of DTM

The idea of DTM was first put forward by W.S Thompson in 1929. He divided the world into three major groups, namely North & Western Europe, Central and Southern Europe, and Rest of the world. This theory was later developed by F.W Notestein in 1945. Notestein suggested that there was a relationship between population change and industrial development. His model was based on population changes in several industrialized countries in Western Europe and North America. It also suggested that with time, countries go through a linear evolution from traditional, non-industrial society to a modern, industrial and urban one. More Information can be found in textbooks on A level geography.

Summary of the theory

Demographic change in Sweden from 1735 to 2000.
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Demographic change in Sweden from 1735 to 2000.

The transition involves four stages (Possibly five).

As with all models, this is an idealized picture of population change in these countries. The model is a generalization that applies to these countries as a group and may not accurately describe all individual cases. The extent to which it applies to less-developed societies today remains to be seen. Many countries such as the East Asian Tigers, China, Brazil and India have passed through the DTM very quickly due to fast social and economic change. Some countries, particularly African countries, appear to be stalled in the second stage due to stagnant development and the effect of AIDS.

Stage Two in detail

This stage leads to an increase in population and rapid fall in death rates. The changes leading to this stage in Europe were initiated in the Agricultural Revolution of the 18th century. Countries in this stage include Nigeria, Kenya and Bangladesh. The decline in the death rate is due initially to two factors:

A consequence of the decline in mortality in Stage Two is an increasingly rapid rise in population growth (a "population explosion") as the gap between deaths and births grows wider. Note that this growth is not due to an increase in fertility (or birth rates) but to a decline in deaths. This change in population occurred in northwestern Europe during the 19th century due to the Industrial Revolution. During the second half of the 20th century less-developed countries entered Stage Two, creating the worldwide population explosion that has demographers concerned today.
A major factor in reducing birth rates in stage 3 countries such as Malaysia is the availability of family planning facilities, like this one in Kuala Terenganu, Terenganu, Malaysia.
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A major factor in reducing birth rates in stage 3 countries such as Malaysia is the availability of family planning facilities, like this one in Kuala Terenganu, Terenganu, Malaysia.

Another characteristic of Stage Two of the demographic transition is a change in the age structure of the population. In Stage One, the majority of death is concentrated in the first 5–10 years of life. Therefore, more than anything else, the decline in death rates in Stage Two entails the increasing survival of children. Hence, the age structure of the population becomes increasingly youthful. This trend is intensified as these increasing numbers of children enter into reproduction while maintaining the high fertility rates of their parents. The age structure of such a population is illustrated below by using an example from the Third World today.

Stage Three in detail

Stage Three moves the population towards stability through a decline in the birth rate. In general, the decline in birth rates in developed countries began towards the end of the 19th century in northern Europe and followed the decline in death rates by several decades. This was spurred by the Industrial Revolution and later industrialization. Many countries are currently in this stage including India, Mexico and Brazil. There are several factors contributing to this eventual decline, although some of them remain speculative:

In countries in stage 4 of the demographic transition, even places normally associated with children, such as beaches, are dominated by the presence of adults. Only two children can be seen among hundreds of adults in this view of Scheveningen Beach, Netherlands.
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In countries in stage 4 of the demographic transition, even places normally associated with children, such as beaches, are dominated by the presence of adults. Only two children can be seen among hundreds of adults in this view of Scheveningen Beach, Netherlands.

The resulting changes in the age structure of the population include a rapidly aging population, a sharp decrease in the number of young people, reducing the youth dependency ratio. The population structure becomes less triangular and more like an elongated balloon.

Stage Five?

Diagram showing stage five
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Diagram showing stage five

The original Demographic Transition model has just four stages but it is now widely accepted that a fifth stage is needed to represent countries who have undergone the economic transititon from manufacturing based industries into service and information based industries, or what is called Deindustrialization. Countries such as Germany, Sweden, Italy, and most notably Japan, whose populations are now below their replacement levels. This means that there is a natural decrease in the population as birth rates have fallen below the death rate.

Criticism of the DTM

One of the principal criticisms of the DTM is the questionable applicability to lesser developed countries, where the prerequisites for wealth and information access are limited. This is an important shortcoming, since DTM is used widely to minimize concerns regarding overpopulation and paint an exaggeratedly optimistic version of the future, without adequate basis.

The DTM is used to classify countries into general groups.  Hence, it is unable to take into account evolutionary changes in the process of population growth and classify diverse population into distinct but coherent stages of the development process.  It is also limited in the sense that it gives a generalized picture of population change over time based on European studies, assumming that all countries would follow suit.  In addition, the DTM is rigid in assuming that all countries will go through the stages 1 to 4 in that exact order.  There are variables and exceptions such as war and turmoil that may lead to different results.  Some countries may even skip stages.

The Peruvian economist Hernando de Soto has argued that one obstacle to industrial development is that subsistence farmers can not convert their work into capital which can be used to start new businesses and trigger industrializations. He argues that these obstacles exist often because subsistence farmers do not have clear title to the land which they work and to the crops which they produce.

Another limitation of the DTM is that it assumes population changes are brought about by industrial changes and increased wealth. This is not true as social changes are equally important in determining birth rates, for example, the education of women. Also, DTM assumes that the birth rate is independent of the death rate. The opposite is true. When infant mortality increases, people are more likely to have more children to replace themselves. Next, the time taken for Economically Less Developed Countries to go throught the stages might be lower as there is availability of knowledge from mistakes made by Economically More Developed Countries.

Further reading

 


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