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基于2000年至2022年面板数据的甘肃省农村人口老龄化差异及影响因素分析

Analysis of the differences and influencing factors of rural population aging in Gansu Province-based on panel data from 2000 to 2022.

作者信息

Liu Yue, Lv Fengli, Zhang Xiaochen, Wang Jiancheng

机构信息

First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, Gansu Province, China.

Lanzhou University, Lanzhou, China.

出版信息

Front Public Health. 2025 Jul 25;13:1634712. doi: 10.3389/fpubh.2025.1634712. eCollection 2025.

DOI:10.3389/fpubh.2025.1634712
PMID:40786174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12333386/
Abstract

OBJECTIVE

To analyze the spatial dimension differences and influencing factors of rural population aging in Gansu Province over the past 20 years.

METHODS

Data on population, economy, healthcare, and education from Gansu Province and its 14 cities (prefectures) from 2000 to 2022 were collected, with selected indicators quantified. A spatial dynamic panel data model was established to explore regional differences and the impact of influencing factors on population aging.

RESULTS

The aging of the rural population in Gansu Province continues to intensify, with regional disparities gradually widening. Among these, the central region exhibits the largest disparity and contribution rate, followed by the southeastern region, while the northwestern region shows the smallest. Intra-regional disparities, particularly in the central region, are the primary source of the overall disparities. Among the influencing factors, an increase in population density helps alleviate aging, whereas a rise in the illiteracy rate exacerbates population aging. Other factors, including the natural population growth rate, GDP , and the number of hospital beds , do not have a significant impact on population aging.

CONCLUSION

The aging of the rural population in Gansu is intensifying, with regional disparities widening, influenced by multiple factors such as economic development, population growth, education levels, and medical resources.

摘要

目的

分析甘肃省近20年农村人口老龄化的空间维度差异及影响因素。

方法

收集2000年至2022年甘肃省及其14个市(州)的人口、经济、医疗和教育数据,并对选定指标进行量化。建立空间动态面板数据模型,以探究区域差异及影响因素对人口老龄化的影响。

结果

甘肃省农村人口老龄化持续加剧,区域差距逐渐扩大。其中,中部地区差距最大、贡献率最高,其次是东南部地区,而西北地区差距最小。区域内差距,尤其是中部地区的差距,是总体差距的主要来源。在影响因素中,人口密度增加有助于缓解老龄化,而文盲率上升则加剧人口老龄化。其他因素,包括自然人口增长率、国内生产总值和医院床位数,对人口老龄化没有显著影响。

结论

甘肃省农村人口老龄化加剧,区域差距扩大,受经济发展、人口增长、教育水平和医疗资源等多种因素影响。

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