World Population Projections Using Metabolic GM (1,1) Model
Forecasts of population size allow city planners, economists, public agencies, environmentalists, and social scientists to prepare for what is to come, so the research on population projections has become a focus of demographers’ research. In the study, population system is regarded as a grey system and a method based on GM (1,1) model from Grey system theory is introduced to 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 metabolic GM (1,1) 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. The method is then applied to the projections of world population. The results show that in 2012 world population will surpass 7 billion; in 2029 it will grow beyond 8 billion and in 2050 it will be between 8.9 and 9.4 billion, which is in accordance with the latest projections from the UN. The findings show the metabolic GM (1,1) model is an effective mathematical means in population projections.
Caimei Lu Yonghong Hao Xuemeng Wang
School of Management, Shanxi University, Taiyuan 030006, China School of Environment and Resources, Shanxi University, Taiyuan 030006, China Institute for Iintegrated Survey of Agriculture Resources, Taiyuan 030006, China
国际会议
2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)
南京
英文
2007-11-18（万方平台首次上网日期，不代表论文的发表时间）