Geography

Demographic Transition Model

The Demographic Transition Model is a concept that explains the population changes in a society as it undergoes economic development. It consists of four stages that represent shifts in birth and death rates, leading to changes in population growth. These stages help to understand how a society's population structure evolves over time in response to social and economic changes.

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8 Key excerpts on "Demographic Transition Model"

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  • Human Geography
    eBook - ePub

    Human Geography

    An Essential Introduction

  • The Demographic Transition Model has its origins in the work of US demographer Frank W. Notestein and his fear of the impact of global population growth, not least its ramifications for the United States.
  • The Demographic Transition Model suggests that as countries industrialize and develop, so too their populations pass through a number of stages; some models recognize only four stages, others five. Recently, British demographer Tim Dyson has queried the need for countries to industrialize and develop if they are to pass through demographic transition.
  • French demographer Jean‐Claude Chesnais has provided a typology of different passages through demographic transition, noting variations in start dates, durations from start to finish, and peak rates of population growth. Beginning in Europe in the eighteenth century, the modern rise in world population continues and will abate only around the year 2100. As this century wears on, Africa will replace Asia as the epicenter of world population growth.
  • Egyptian physician Abdel Omran's concept of epidemiological transition provides a useful lens through which to examine declining mortality rates. A combination of economic development, improvements in standards of living and diet, medical advances, and public health campaigns have pushed countries through epidemiological transition.
  • Welsh population geographer Huw Jones offers a useful framework for thinking about the determinants of fertility. Fertility levels fall as a lag effect of socioeconomic development and cultural change, as these fundamental determinants drive down fertility by recalibrating the workings of a number of proximate determinants of fertility.
  • New Age Globalization
    eBook - ePub

    New Age Globalization

    Meaning and Metaphors

    But as time passed, mortality rates began to decline due to rising standards of living and better hygiene globally, while at the same time fertility rates remained high in the modernizing, newly industrializing semiperiphery societies of Asia and Latin America. The result was net population growth. India offers the best example of this type of demographic transition even to this day. The reverse trends of declining populations were appearing in some other regions due to relatively lower fertility rates despite lower mortality / higher longevity ratios. 18 Russia and Japan may offer good examples of this type of demographic transition. The current demographic transition theory (DTT) has emerged to account for these more complex population dynamics in different parts of the world than what the simple Malthusian logic could explain. In this three-stage theory, the first stage consists of the initial Malthusian scenario of high fertility combined with high mortalities as a result of high infant mortality and shorter life expectancy to produce the ZPG equilibrium. There is hardly any country or region as a whole today that fits into this gloomy pattern. Even in heavily AIDS/HIV-infected regions of sub-Saharan Africa and parts of India where average life expectancy has declined significantly due to high mortality rates, population continues to grow as relative fertility declines have not occurred. In the second DTT stage population continues to grow albeit at a relatively slower rate despite lower mortalities because of improvements in education, hygiene, and living conditions for larger numbers of people but without corresponding fertility decline due to cultural factors. These trends are currently witnessed in some of the newly industrializing countries, for example, India, Mexico, Indonesia, and to some extent, even China
  • Understanding Post-War British Society
    • Peter Catterall, James Obelkevich(Authors)
    • 2002(Publication Date)
    • Routledge
      (Publisher)

    Chapter 2Elements of demographic change in Britain since 1945

    Richard M.Smith

    One theory, above all others, has provided a framework for much of the discussion of the striking demographic changes that have occurred in the last century. This is the so-called ‘Demographic Transition Theory’ and there has been considerable debate concerning whether post-war British society, indeed Western society as a whole, continues to be interpretable within terms of that theory’s key premises (Davis et al. 1987). In its essentials, Demographic Transition Theory is a type of dogma of the ‘irreversible sequential change’ variety. It is an evolutionary schema setting out the demographic stages through which societies are bound to move as a consequence of industrialisation and urbanisation (Woods 1982:158-84). The initial condition in which high mortality and high fertility coexisted is stage I, and some have suggested in the English case that this ended c. 1750. This was followed by a phase of falling mortality in association with high fertility, creating rapid demographic growth (Stage II) until c. 1870; and after this there was a compensatory fall in fertility in Stage III which culminated when stationary demographic conditions were established in which very low mortality and fertility coincided simultaneously, especially after c. 1966. Much empirical research has shown that this model provides a problematic basis for our understanding of British demographic history in the period prior to 1900. Stage I in England cannot accurately be described as one in which high fertility and mortality coexisted in a compensatory fashion; nor can the great surge of population growth after 1750 be accurately explained by a fall in mortality (Wrigley and Schofield 1981). Nineteenth-century changes do not seem readily depicted as fertility falls occurring in the wake of prior mortality declines (Woods 1992). These matters cannot be the subject of discussion in this chapter as our purpose is to assess whether the last forty or forty- five years can be seen as the culmination of this stadial model. Do they represent the triumphant establishment of Stage III or should this Whiggish device be jettisoned and replaced by an attempt to conceptualise a post- transitional demographic regime of low birth rates (of the kind associated with below replacement rate fertility), low mortality, population ageing, stationary or negative demographic growth? The figures relating to total population numbers in the United Kingdom seem, at least superficially, to be consistent with such a view. Contrary to the predictions of Transition Theory, population grew quite rapidly in the decades immediately following the Second World War. The United Kingdom contained 50.3 million people in 1951 (compared with 46 million in 1931) and growth thereafter took that figure to almost 56 million in 1971. The last two decades, however, have witnessed much slower demographic expansion and the population estimated for 1991 is only c.
  • Societal Problems as Public Bads
    • Nan de Graaf, Dingeman Wiertz(Authors)
    • 2019(Publication Date)
    • Routledge
      (Publisher)
    crude death rate (the number of deaths per year per thousand people in the population). By subtracting the death rate from the birth rate, one gets the net balance of new people per thousand people already present, which can be transformed into a percentage simply by moving the decimal point.
    One very important model in which crude birth and death rates are compared is the Demographic Transition Model . This is an interpretation of demographic history, which was developed independently by the American demographer Warren Thompson in 1929 and by the French demographer Adolphe Landry in 1934, and then developed into a more formal theory by the demographer Frank Notestein in 1945. The model, which comprises five stages, is illustrated in Figure 5.4 . We summarize each stage below.
    Stage 1 . In the first stage (pre-industrial society) population growth is close to zero, because both birth and death rates are high. The natural birth rate in a population where birth control is absent lies around 40 births per year per thousand people in the population. The death rate lies typically just above or below that, at a level of between 35 and 45 deaths per year per thousand people in the population, depending on whether there is a war, famine or an outbreak of disease. This stage describes most of human history to date.
    Stage 2 . During the emergence of industrial societies, the second phase takes off. The quality of nutrition improves and institutions such as public sanitation and mass vaccinations are introduced, substantially reducing the death rate (especially childhood mortality). At the same time, the birth rate remains high, as families have not yet adapted their fertility behaviour to the reduced mortality levels. As a result, the population grows rapidly, with families having many children. Some of the poorest countries in the world are still stuck – and have been so for a long time – in this stage, as a consequence of stagnant overall development.
    Stage 3
  • Development Economics
    eBook - ePub

    Development Economics

    Theory and Practice

    • Alain de Janvry, Elisabeth Sadoulet(Authors)
    • 2021(Publication Date)
    • Routledge
      (Publisher)
    incidence of AIDS in sub-Saharan Africa has had a huge toll on the population, with an estimated 7 million deaths since the beginning of the pandemics. In 2016, HIV prevalence was as high as 27 percent in Swaziland, 22 percent in Botswana, 19 percent in South Africa, 14 percent in Zimbabwe, and 12 percent in Zambia and Mozambique. Largely because of AIDS, life expectancy at birth has fallen from a high of 62 years in 1990 to a low of 43 in 2005 in Swaziland, from 61 in 1985 to 43 in 2004 in Zimbabwe, from 63 in 1991 to 53 in 2004 in South Africa, and from 53 in 1983 to 43 in 1998 in Zambia (World Bank, World Development Indicators). AIDS has a high economic cost as deaths are concentrated among working-age adults. It increases the dependency ratio, leaving grandparents and the community in charge of orphans. In some villages in Zambia, as many as 30–40 percent of the children are orphans.

    History of World Population and Demographic Transition

    Three Demographic Revolutions

    World population has gone through three demographic revolutions, each with huge spurts in population size.
    • During the Neolithic period, some 10,000 years BC, associated with agriculture displacing hunting and gathering as the main source of food (Diamond, 1997 ): it is estimated that world population was around 1 million.
    • During the agricultural and industrial revolutions in today’s industrialized countries, during the 1700–1880 period: world population reached 1 billion in 1800.
    • When the health revolution reached developing countries from the 1940s, following the introduction of DDT (dichlorodiphenyltrichloroethane) to control malaria, polio vaccines, and antibiotics such as penicillin: by 1950, world population was 2.5 billion.

    The Demographic Transition

    The demographic transition is a one-time population explosion that occurs as death rates fall ahead of birth rates. It comes to an end when birth rates also decline, eventually converging with death rates. This is illustrated in Figure 11.3 for industrialized (a ) and developing (b
  • Kingsley Davis
    eBook - ePub

    Kingsley Davis

    A Biography and Selections from His Writings

    • David M. Heer(Author)
    • 2017(Publication Date)
    • Routledge
      (Publisher)
    It is clear that behind the specific factors causing the unprecedented decline in mortality there was the general and all-inclusive change through which European society was passing—a change from illiterate agriculturalism to literate industrialism. Compared to previous cultural changes, this one was quite rapid, although it took centuries and, even in Europe, is still incomplete. Some of the most important developments were doubtless intangible—the growth of democratic institutions, scientific ideals, humanitarian sentiments. The decline in mortality was itself a cause as well as a result of the social transformation, because it made possible a longer and more efficient use of human energies.

    New Demographic Balance

    As noted above, fertility tended to decline during the period of modernization. It did not decline as fast as mortality, however, and the difference between the two provided the tremendous growth of the European population. Eventually, however, the competitive, individualistic, urban society that had risen made large families a handicap rather than a blessing. At the same time the extreme reduction in infant mortality meant that the old fertility patterns, if they were to continue, would produce even larger families than formerly. Consequently, there was every incentive for couples to reduce the number of births, and it was not long until the same scientific approach that had been applied to the limitation of death was also applied to the limitation of births.10
    As the birth rate dropped to lower levels, the point was reached in northwestern and central Europe where the rate of population growth began once more to approach stability. At present this fact is still masked by heavy numbers in the reproductive ages, but techniques of analysis reveal that in future this area will have a stationary or a declining population.11 Mortality has been reduced so far already that further reductions can no longer compensate for future declines in fertility.
    Thus in Europe, and in Europe overseas, the sociocultural transition known as the Industrial Revolution has been accompanied by an intimately related demographic transition, representing an astounding gain in human efficiency. Under the old regime of high fertility and high mortality, women frequently experienced the drain and danger of pregnancy to no purpose, because a large proportion of the offspring died. Furthermore, energy was spent on the surviving offspring, only to find that many of them died before or during early maturity. Thus too much effort was spent in trying to bring each new generation to full productive maturity. Too much energy was lost in sickness, malnutrition, and preoccupation with death. The new type of demographic balance released a great amount of energy from the eternal chain of reproduction—energy that could be spent on other aspects of life.
  • Demographics
    eBook - ePub

    Demographics

    A Guide to Methods and Data Sources for Media, Business, and Government

    • Steven H. Murdock, Chris Kelley, Jeffrey L. Jordan, Beverly Pecotte, Alvin Luedke(Authors)
    • 2015(Publication Date)
    • Routledge
      (Publisher)
    Chapter 2 Basic Concepts, Definitions, and Geography of Demography As with any area of study, it is essential in demography to understand its basic concepts and the definitions of its key terms and to become familiar with the types of geographic areas for which demographic data are generally available. Knowing the jargon of demography and knowing the types of areas for which data can be obtained are essential first steps in knowing how to effectively use its data. In this chapter, we provide an overview of key concepts and definitions and examine the geographic bases used in demography and its applications. Basic Dimensions and Processes Given the definition of demography as the study of population size, distribution, and composition and of the processes that determine these, a logical place to begin in understanding demographic factors is to understand (1) what is meant by a population; (2) the three key dimensions of population–size, distribution, and composition; and (3) the three basic processes that determine population change–fertility, mortality, and migration. A population refers to the persons living in a specific area at a specific point in time. It refers to the aggregate, the group of people as a whole, in an area. As such, it has characteristics that are unique to an aggregate and are not just the sum of individuals’ traits or characteristics. For example, a population can have a death rate, birth rate, etc., but individuals are either alive or dead, have or have not been born. There is no death or birth “rate” for an individual
  • Applied Demography
    eBook - ePub

    Applied Demography

    An Introduction To Basic Concepts, Methods, And Data

    • Steve H. Murdock(Author)
    • 2019(Publication Date)
    • Routledge
      (Publisher)
    2 Demographic Concepts and Trends: The Conceptual Base and Recent Patterns of Demographic Change
    The discussion in this chapter is intended to define the major concepts and variables used in applied demography and to provide information that will allow the reader to obtain an initial base of demographic knowledge regarding current patterns for the measures of these concepts and variables. It must be recognized, however, that no single chapter, or any single work, can replace the need for continuous study to obtain and maintain knowledge of demographic change.

    Defining Key Concepts and Terms

    In this section, we examine some of the key concepts and terms used in demography and demographic analyses. It is essential for those using demographic data to be aware of the underlying definitions and dimensions of demography's key concepts. We delineate these concepts briefly below indicating both how they are defined and the major differentials or variations in them among different demographic groups and relative to other demographic, social, and economic factors.

    Population

    Perhaps the most basic of all terms in demography is that of population. A population consists of the persons living in a specific geographical area at a specific point in time (see Ryder, 1964 for a useful description of the concept of population). Two aspects of the concept of population as used in demography are important to emphasize.
    First, the term population tends to be used to refer to aggregate characteristics of a population living in an area; that is, to characteristics that are descriptive of the population but not necessarily of any given individual within the population. For example, a population's death rate is not reducible to the individuals within the population. That is, any given person in an area is either alive or dead at a given point in time; he or she has no death rate. On the other hand, a population's death rate is the aggregate effect of all deaths in the population. A death rate is thus uniquely an aggregate rather than an individualistic measure.