The multiregional demography approach is used in an analysis of the urban—rural population dynamics of China. Multiregional population-accounts and methods of estimation of demographic rates are developed on the basis of the multiregional population-accounts concept. An accounts-based urban—rural population projection model is established and used to project the population of China from 1988 to 2087.
Get full access to this article
View all access options for this article.
References
1.
DPS, 1988Tabulations of China 1% Population Sample Survey. National Volume Department of Population Statistics, State Statistical Bureau (China Statistics Press, Beijing)
2.
JiangZLanS, 1987, “Population development projection of China”, in The Analysis of the Third Population Census Data of China Population Census Office, State Council of the People's Republic of China (China Financial and Economic Press, Beijing) pp 323–332
3.
ReesP H, 1989, “Old model faces new challenges: A review of the state of the art in multistate population modelling”, WP-531, School of Geography, University of Leeds, Leeds
4.
ReesP HWilsonA, 1977Spatial Population Analysis (Edward Arnold, Sevenoaks, Kent)
5.
RogersA, 1966, “The multi-regional matrix operator and the stable inter-regional age structure”Demography3537–544
6.
RogersA, 1973, “The mathematics of multiregional demographic growth”Environment and Planning53–29
7.
RogersA, 1975Introduction to Multiregional Mathematical Demography (John Wiley, New York)
8.
RogersAWillekensF (Eds), 1986Migration and Settelement: A Multiregional Comparative Study (D Reidel, Dordrecht)
9.
SongJTianXYuJLiG, 1981Population Projection and Control (People's Press, Beijing)
10.
WangW, 1988Population Systems Engineering (Shanghai Transportation University Press, Shanghai)
11.
ZhangW, 1987, “Projection of future population development of China”, in The Analysis of the Third Population Census Data of China Population Census Office, State Council of the People's Republic of China (China Financial and Economic Press, Beijing) pp 333–340