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Author：

Duan, Lingyun (Duan, Lingyun.) | Liu, Ziyuan (Liu, Ziyuan.) | Yu, Wen (Yu, Wen.) | Chen, Wei (Chen, Wei.) | Jin, Dongyan (Jin, Dongyan.) | Feng, Yao (Feng, Yao.) | Wang, Yu (Wang, Yu.) | Liu, Jiajia (Liu, Jiajia.) | Zhou, Han (Zhou, Han.) | Sun, Suhua (Sun, Suhua.) | Dai, Ruixi (Dai, Ruixi.)

Indexed by：

EI Scopus

Abstract：

China　is　one　of　the　countries　that　have　entered　the　stage　of　population　aging.　At　present,　the　phenomenon　of　aging　population　has　become　a　widespread　concern　of　the　whole　society.　Scientific　and　accurate　prediction　of　aging　population　will　help　relevant　departments　to　formulate　specific　countermeasures.　This　paper　uses　the　Yearbook　of　China＇s　1%　population　sampling　survey　in　2015　and　the　data　published　by　the　National　Bureau　of　statistics.　Based　on　the　basic　population　prediction　formula,　the　population　prediction　formula　is　established　by　using　the　index　extrapolation　method　to　predict　the　population　aging　development　trend　of　provinces　and　cities　in　China　from　2020　to　2050.　The　results　show　that:　China＇s　aging　degree　will　continue　to　increase,　the　size　of　the　elderly　population　will　continue　to　increase,　2020-2030　will　be　a　period　of　rapid　growth　of　the　national　population　aging,　after　then　the　aging　ratio　will　decline.　The　government　should　formulate　security　countermeasures　for　the　elderly　from　various　aspects　as　soon　as　possible　and　actively　respond　to　aging　the　population.　©　2022　-　IOS　Press.　All　rights　reserved.

Keyword：

Forecasting Population statistics Sampling

Author Community：

  • [ 1 ] [Duan, Lingyun]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 2 ] [Duan, Lingyun]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 3 ] [Duan, Lingyun]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 4 ] [Duan, Lingyun]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 5 ] [Duan, Lingyun]Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 6 ] [Liu, Ziyuan]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 7 ] [Liu, Ziyuan]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 8 ] [Liu, Ziyuan]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 9 ] [Liu, Ziyuan]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 10 ] [Yu, Wen]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 11 ] [Yu, Wen]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 12 ] [Yu, Wen]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 13 ] [Yu, Wen]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 14 ] [Yu, Wen]Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 15 ] [Chen, Wei]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 16 ] [Chen, Wei]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 17 ] [Chen, Wei]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 18 ] [Chen, Wei]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 19 ] [Jin, Dongyan]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 20 ] [Jin, Dongyan]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 21 ] [Jin, Dongyan]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 22 ] [Jin, Dongyan]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 23 ] [Feng, Yao]Bartlett School of Environment, Energy and Resources, University College London, London, United Kingdom
  • [ 24 ] [Feng, Yao]Department of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 25 ] [Wang, Yu]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 26 ] [Wang, Yu]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 27 ] [Wang, Yu]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 28 ] [Wang, Yu]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 29 ] [Liu, Jiajia]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 30 ] [Liu, Jiajia]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 31 ] [Liu, Jiajia]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 32 ] [Liu, Jiajia]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 33 ] [Zhou, Han]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 34 ] [Zhou, Han]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 35 ] [Zhou, Han]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 36 ] [Zhou, Han]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 37 ] [Sun, Suhua]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 38 ] [Sun, Suhua]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 39 ] [Sun, Suhua]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 40 ] [Sun, Suhua]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 41 ] [Sun, Suhua]Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 42 ] [Dai, Ruixi]Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 43 ] [Dai, Ruixi]Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 44 ] [Dai, Ruixi]Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing, China
  • [ 45 ] [Dai, Ruixi]Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
  • [ 46 ] [Dai, Ruixi]Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China

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Source ：

Journal of Computational Methods in Sciences and Engineering

ISSN： 1472-7978

Year： 2022

Issue： 1

Volume： 22

Page： 349-359

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 3

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