China's population projections based on GM(1,1) metabolic model
Abstract
Purpose
The purpose of this paper is to apply grey system theory to population system and project China's population.
Design/methodology/approach
The paper applies the GM(1,1) model to China's population projections. Two key aspects of the method are crucial for obtaining best accuracy of prediction. They are the choice of the length for the original data to be used in the model and the adoption of the GM(1,1) metabolic model in prediction. The former determines what initial data to be used while the latter describes an iteration process on how to proceed to predict.
Findings
The results show that in 2015 China's population will reach 1.37 billion and in 2050 it will be between 1.42 and 1.48 billion, which is in accordance with the latest projections from the UN. The findings show the GM(1,1) metabolic model is an effective mathematical means in population projections.
Research limitations/implications
The paper suggests that GM(1,1) metabolic model can provide an effective simulation model for complicated systems with uncertainty and can be used in many fields.
Practical implications
The paper provides useful advice for the department of population.
Originality/value
Most population projections have been based on assumptions about fertility, mortality, and migration. The paper considers the population system as a grey system and introduces the GM(1,1) metabolic model to population projections.
Keywords
Citation
Caimei, L., Yonghong, H. and Xuemeng, W. (2009), "China's population projections based on GM(1,1) metabolic model", Kybernetes, Vol. 38 No. 3/4, pp. 417-425. https://doi.org/10.1108/03684920910944119
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited