Abstract
The fourth chapter discusses the growth of population over time and the influence of population growth on disposable income in the context of geographical regions of the world and stages of development. It reviews population growth over time and recent trends in it. It introduces the concept of the demographic transition. It examines its influence on population growth in countries at different stages of the transition and the impact and clustering of the world’s populations with different growth rates. Further, it examines hypotheses regarding future growth of populations in different world markets and its implications regarding the future population of countries at different stages of development. It examines the inevitable ageing of global markets over time. It also looks at hypothesised population futures and possible implications for future consumer behaviour in markets in different stages of the demographic transition and population ageing.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
As stated in Chapter 1, the term “billion” follows the convention that it is equal to one thousand millions i.e. “1” times “109” = “1,000,000,000”.
- 2.
Baby Boomers are people born during a resurge of fertility after the second world war in the late 1940s and 1950s.
References
Caldwell, J. C. (2002). The contemporary population challenge. In the Report of the Expert Group Committee Meeting on Completing the Fertility Transition. New York: United Nations.
Coale, A. (1973). The demographic transition. In Proceedings of the general population conference (Vol. 1, pp. 53–72). Liege: International Union of for the Scientific Study of Population.
Davis, K. (1945). The world demographic transition. The Annals of the American Academy of Political and Social Science, 237, 1–11.
Galloway, P., Lee, R., & Hammel, G. (1998). Infant mortality and the fertility transition: Macro evidence from Europe and new findings from Prussia. In M. Montgomery & B. Cohen (Eds.), From death to birth: Mortality decline and reproductive change. Washington, DC: National Research Council.
Magnus, G. (2009). The age of ageing. How demographics are changing the global economy and our world. Singapore: Wiley (Asia).
Palloni, A., & Rafalimanana, H. (1999, February). The effects of infant mortality on fertility revisited; new evidence from Latin America. Demography, 36(1), 41–58.
Pollard, A. H., Yusuf, F., & Pollard, G. N. (1995). Demographic techniques. A. S. Wilson.
Potter, J. E., Schmertmann, C. P., & Cavenaghi, S. M. (2002, November). Fertility and development: Evidence from Brazil. Demography, 39(4), 739–761.
Ray, D. (1998). Development economics. Princeton: Princeton University Press.
Shao, S. P. (1974). Mathematics for management and finance. Cincinnati: South-Western Publishing Co.
Thompson, W. S. (1929). Population. The American Journal of Sociology, 34(6), 959–975.
United Nations (UN). (2001). World population prospects – The 2000 revision highlights. New York: Population Division.
United Nations (UN). (2005). World population prospects – The 2004 revision – highlights. New York: Population Division.
United Nations (UN). (2007). World population prospects – The 2006 revision highlights. New York: Population Division.
United Nations (UN). (2009). World population prospects: The 2008 revision. Population database. New York: Population Division. http://esa.un.org/unpp/index.asp?panel=5. Retrieved 26 June 2009.
US Census Bureau (USCB). (2003). Historical estimates of world population. http://www.census.gov. Retrieved 27 Aug 2003.
Van de Walle, F. (1986). Infant mortality and the European demographic transition. In A. J. Coale & S. C. Watkins (Eds.), The decline of fertility in Europe (pp. 390–419). Princeton NJ: Princeton University Press.
Author information
Authors and Affiliations
Corresponding author
Appendix: Population Growth Rates Estimation – Example
Appendix: Population Growth Rates Estimation – Example
The world’s population was estimated by the United Nations to have grown from 2,529 millions in 1950 to 6,512 millions in 2005 (UN, 2009).
Following the equation and notation in Box 4.1,
-
\(P_{t + n} = 6{,}512{\textrm{ million}}\)
-
\(P_t = 2{,}529{\textrm{ million}}\)
-
\(n = 2005{-}1950 = 55\)
Accordingly, the average yearly rate of population growth over the 55-year period was
-
\(\bar g = \Big[\sqrt[{55}]{{\big(6,512/}}2,529\big)\Big] - 1\)
-
\(\overline g = \left[\sqrt[{55}]{{2.57493}}\right] - 1\)
-
log \(\overline g {\textrm{ }} = \left(1/55{\textrm{ }}\log 2.57493\right) - 1 = \left(1/55^*0.410765\right) - 1\newline = \left({\textrm{anti}}\log 0.007468\right) - 1\)
-
\(\overline g = 1.0173 - 1 = {{\textbf{0.0173\, or\, 1.73}}}\,\% \) per year
Or using the alternative
-
\(r = (P_n /P_0)/n\)
-
\(P_{t + n} = 6{,}512{\textrm{ million}}\)
-
\(P_t = 2{,}529{\textrm{ million}}\)
-
\(n = 2005-1950=55\)
-
\(r = \ln\, (6{,}512/2{,}529)/n\)
-
\(r = \ln 2.57493/55\)
-
r = 0.94582/55 = 0.0173 or 1.73% per year
Note: (log) is the logarithm of base 10. (ln) is the natural logarithm of base e = 2.7182818… . and ln of e = 1.
Caution is required in the estimation and use of these population growth rates. The number of decimals either in the estimation of the rate or the number of decimals in the rate used in any extrapolation may make a substantial difference to the results obtained.
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Martins, J.M., Yusuf, F., Swanson, D.A. (2011). Population Growth in Global Markets. In: Consumer Demographics and Behaviour. The Springer Series on Demographic Methods and Population Analysis, vol 30. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1855-5_4
Download citation
DOI: https://doi.org/10.1007/978-94-007-1855-5_4
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-1854-8
Online ISBN: 978-94-007-1855-5
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)