期刊文献+

深度老龄化省份人口老龄化城乡倒置时空演变及预测趋势

Spatial Evolution and Predictive Trends of Urban-Rural Inversion Regarding Population Aging in Provinces Experiencing Significant Aging:A Case Study of Anhui Province
下载PDF
导出
摘要 人口老龄化城乡倒置现象已成为城乡协调与我国健康可持续发展面临的重要挑战。本文基于2000—2022年我国19个深度老龄化省份,剖析其人口老龄化城乡倒置的时空演变,同时运用BP时间序列预测模型对2023—2035年人口老龄化城乡倒置度进行预测。研究结果表明:(1)时序演变方面,到2020年19个深度老龄化省份均出现城乡倒置的现象,城乡倒置度年增长率在时序上具有阶段性,在空间上具有区域异质性,研究期末呈南北差异性;(2)空间分布方面,在2000—2022年期间深度老龄化省份人口老龄化城乡倒置呈现“东北—西南”方向分布,分布重心具有“先西南,后东北”的移动趋势;(3)预测趋势方面,预测2023—2035年人口老龄化城乡倒置的重心有东部地区向西部地区转移的趋势。最终,根据研究结果,提出对应建议,以期更好地应对我国未来人口老龄化城乡倒置的浪潮,推动城乡协调发展。 The urban-rural inversion regarding population aging has become a significant challenge for coordinated urban-rural development and sustainable growth in China.This paper analyzes the spatiotemporal evolution of urban-rural inversion regarding population aging in 19 provinces undergoing significant aging from 2000 to 2022.Additionally,it employs the BP time series forecasting model to predict the extent of urban-rural inversion from 2023 to 2035.The research findings indicate:(1)Regarding temporal evolution,all of the 19 provinces exhibited urban-rural inversion by 2020.The annual growth rate of urban-rural inversion is characterized by temporal stages and regional heterogeneity in spatial distribution,with a noticeable disparity between the north and the south by the end of the research period.(2)Concerning spatial distribution,from 2000 to 2022,the urban-rural inversion regarding population aging in these provinces demonstrated an“Northeast-Southwest”directional trend,with the center of distribution moving progressively from southwest to northeast.(3)In terms of predictive trends,the center of urban-rural inversion is likely to shift from eastern regions to western regions from 2023 to 2035.Eventually,based on these research results,corresponding recommendations are proposed to better address the forthcoming impact of urban-rural inversion resulting population aging in China and to promote coordinated urban-rural development.
作者 肖铁桥 肖佳洁 杨婷 张少杰 XIAO Tieqiao;XIAO Jiajie;YANG Ting;ZHANG Shaojie(School of Architecture and Urban Planning,Anhui Jianzhu University,Hefei 230601,Anhui)
出处 《攀枝花学院学报》 2024年第5期1-11,共11页 Journal of Panzhihua University
基金 安徽省高校省级人文社会科学研究重大项目“国土空间规划和乡村振兴战略双导向下县域乡村发展路径和策略研究——合肥市庐江县为例”(SK2020ZD25) 高峰学科科研专项项目“新型城镇化背景下乡村聚落演化的多元路径及其发展机制研究——以安徽省为例”(2021-111) 高峰学科科研专项项目“城乡融合背景下安徽省乡村振兴路径与策略研究”(2021-112) 安徽省住房城乡建设科学技术计划项目“县域乡村居民点空间格局和优化技术研究”(2022-RK035) 安徽省高校省级人文社会科学研究重点项目“村民满意度视角下县域乡村建设优化策略研究——以安徽省为例”(2022AH050227)。
关键词 深度老龄化省份 人口老龄化城乡倒置度 时空演变 预测趋势 BP时间序列预测模型 provinces undergoing significant population aging extent of urban-rural inversion regarding population aging spatiotemporal evolution predictive trends BP time series forecasting model
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部