Evaluating the Impacts of Universal Two-Child Policy on Beijing’s Population

This paper explores the impacts of the universal two-child policy on Beijing’s population in the long term. It gives a detail estimation of Beijing population considering the latest fertility and immigration policy and can help related government department management population. The cohort-component method based on a net migration was applied to project population by age for Beijing from 2020 to 2050 in four fertility scenarios. The innovation is the estimation method of the mortality rate with the life table linked with life expectancy. The results show that, though the basic development trend of Beijing’s population will not change essentially under the universal two-child policy, low birth rate and aging problems will be improved. Compared with the partial policy relaxation, the total population will be 876,478 persons more than that in 2050, the share of population aged 0–14 will increase 1.1 percentage points, and the aged dependency ratio will decrease 1.96 percentage points. Some measures should be taken to encourage more couples to have a second child and introduce more young talents to promote Beijing’s prosperity.

[1]  P. H. Leslie SOME FURTHER NOTES ON THE USE OF MATRICES IN POPULATION MATHEMATICS , 1948 .

[2]  M. P. Ward,et al.  Will US fertility remain low? a new economic interpretation. , 1979 .

[3]  Cuntong Wang History of the Chinese Family Planning program: 1970-2010. , 2012, Contraception.

[4]  Jeff Tayman,et al.  An evaluation of population projections by age , 2003, Demography.

[5]  T. Sobotka,et al.  The End of “Lowest‐Low” Fertility? , 2009 .

[6]  Wei Chen,et al.  HOW FAST IS THE POPULATION AGEING IN CHINA? , 2013 .

[7]  Sophie Pennec,et al.  Microsimulation, Macrosimulation: Model Validation, Linkage and Alignment , 2009 .

[8]  Andrei Rogers Introduction to Multiregional Mathematical Demography , 1975 .

[9]  Andrew M. Isserman,et al.  The right people the right rates: making population estimates and forecasts with an interregional cohort-component model. , 1993 .

[10]  A. Rogers Matrix Methods of Population Analysis , 1966 .

[11]  S. Basten,et al.  China's family planning policies: recent reforms and future prospects. , 2014, Studies in family planning.

[12]  Liying Luo Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem , 2013, Demography.

[13]  W. Feng,et al.  The End of China's One-Child Policy. , 2016, Studies in family planning.

[14]  Tom Wilson,et al.  Recent developments in population projection methodology: a review , 2005 .

[15]  Spatial-Dynamic Population Systems: Analysis and Projection , 1994, Environment & planning A.

[16]  Yi Zeng,et al.  Household and Living Arrangement Projections at the Subnational Level: An Extended Cohort-Component Approach , 2013, Demography.

[17]  Rodolfo Baggio,et al.  Demographic modelling: the state of the art , 2010 .

[18]  Alison Yacyshyn,et al.  A Practitioner's Guide to State and Local Population Projections , 2013 .

[19]  T. Wilson Forecast Accuracy and Uncertainty of Australian Bureau of Statistics State and Territory Population Projections , 2012 .

[20]  Anne Goujon,et al.  The World's Changing Human Capital Stock: Multi‐State Population Projections by Educational Attainment , 2001 .

[21]  Alan Wilson,et al.  Accounts and Models for Spatial Demographic Analysis I: Aggregate Population , 1973 .

[23]  Tom Wilston,et al.  A review of sub-regional population projection methods , 2011 .

[24]  Stanley K. Smith,et al.  Population Projections by Age for Florida and its Counties: Assessing Accuracy and the Impact of Adjustments , 2014 .

[25]  A. Raftery,et al.  Probabilistic Projections of the Total Fertility Rate for All Countries , 2011, Demography.

[26]  A Rogers,et al.  Parameterized multistate population dynamics and projections. , 1986, Journal of the American Statistical Association.

[27]  P. K. Whelpton An Empirical Method of Calculating Future Population , 1936 .

[28]  V. Skirbekk,et al.  The Low Fertility Trap Hypothesis: Forces that May Lead to Further Postponement and Fewer Births in Europe , 2006 .