主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2017, Vol. 26 ›› Issue (2): 161-168.

• 文化与社会 • 上一篇    下一篇

中国人口健康分布的时空变化与影响因素

杨振   

  1. 华中师范大学
  • 收稿日期:2016-04-13 修回日期:2016-08-25 出版日期:2017-04-15 发布日期:2017-04-23
  • 通讯作者: 杨振

Spatio-temporal variations of population health distribution in China and its influencing factors

  • Received:2016-04-13 Revised:2016-08-25 Online:2017-04-15 Published:2017-04-23

摘要: 该文利用最近3次人口普查获得的资料,对我国省级层面的人口健康分布的时空变化特征与影响因素进行分析。结果表明:1)近20年我国居民总体的健康状况得到较大改善,但人均预期寿命存在明显的省际差异,呈现西部较低、中部次之、东部最高的空间梯度特征,差异程度随时间不断降低;2)各地区健康分布并非表现出完全的随机性,而是在总体上呈现出一定的空间集聚趋势,但集聚趋势随时间变化有所弱化;3)地区人均预期寿命的增加速度与初始水平负相关,初始水平较低的地区增速普遍高于初始水平较高的省区,空间收敛趋势明显;4)人均GDP、食物支出占比、森林覆盖率与废水处理达标率等指标较高的地区的预期寿命相对较高,城市化的快速推进与医疗设施禀赋变化对人口健康的净效应总体为负。

Abstract: Using the recent three census data, this paper analyzed the spatial and temporal variations of provincial distribution of population health in China and its influencing factors. And the results shown that: 1) our country residents' overall health has been improved in the past 20 years, but the provincial average life expectancy was significantly different, which present the gradient decrease trend from the east area to the western area. 2) the regional distribution of health was not completely random. And it present the spatial agglomeration trend on the whole. While the agglomeration trend have weakened. 3) the increasing rate of regional life expectancy was negatively related to the initial level, which meant that the increasing rate of low initial-level provinces was higher than the high initial-level provinces. And the provincial health disparities was decreasing, which present the obvious trend of convergence. 4) The principal components regression showed that the per capita GDP, food expenditure rate, the forest coverage rate, the effluent treatment rate and other indicators were higher, the regional life expectancy was relatively higher. Due to urbanization, the problems such as traffic congestion, environmental pollution, marketization of medical reform has resulted in difficulty and high cost of treatment, which led to that the index of urbanization and medical facilities were negatively related to local health level.