SCIENTIA GEOGRAPHICA SINICA ›› 2020, Vol. 40 ›› Issue (6): 918-927.doi: 10.13249/j.cnki.sgs.2020.06.007

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Spatial Patterns Evolution and Classification of Population Aging in the Three Provinces of Northeast China Based on the County Scale

Liu Jian1,2(), Yang Qingshan1,2,3,*(), Zhang Yu1,2, Liu Jie1,2, Jiang Xiaojun4   

  1. 1. School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China
    2. Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, Northeast Normal University, Changchun 130024, Jilin, China
    3. Center of Urbanization and Regional Development, Northeast Normal University, Changchun 130024, Jilin, China
    4. School of Tangshan Normal University, Tangshan 063000, Hebei, China
  • Received:2018-12-31 Online:2020-06-01 Published:2020-12-07
  • Contact: Yang Qingshan;
  • Supported by:
    National Natural Science Foundation of China (41771126, 41571115).


Population aging is becoming a prominent problem restricting the revitalization and development of Northeast China. This paper analyzes the evolution characteristics of the spatial pattern of population aging at the county in the three provinces of Northeast China from 2000 to 2010, and classifies the types of population aging by using static indicators (aging coefficient, the ratio of the aged and the young), dynamic indicators (age structure change, the number change of the elderly population and the non-elderly population, the growth rate of the elderly population), spatial autocorrelation and other measurement indicators and methods. The main conclusions are as follows: 1) In terms of static indicators, the aging coefficient and the ratio of the aged and the young all show an overall upward trend from 2000 to 2010, with more prominent regional differences, and the spatial distribution changed from ‘homogeneous’ to ‘polarized’. Urban agglomeration, resource-based urban districts and some border cities and counties in central and southern Liaoning Province have become the concentrated distribution areas of aging population and low birth rate. 2) In terms of dynamic indicators, during the study period, there are significant differences in age structure change, number change of the elderly population, non-elderly population and growth rate of the elderly population among the municipal districts of the four core cities, surrounding cities and counties of core cities, resource-based urban districts and border cities and counties. 3) Using static and dynamic indicators, the aging types in the three northeastern provinces are divided into five types, named aging with dilution, residual aging, aging in place, potential aging and non-aging. This paper summarizes the characteristics of each type of aging, and puts forward targeted policy recommendations for typical regions.

Key words: population aging, static indicators, dynamic indicators, ageing type, the three provinces of Northeast China

CLC Number: 

  • K902