School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Guangdong Provincial Center for Urban and Migration Studies, Guangzhou, 510006, China.
BMC Public Health. 2023 Aug 11;23(1):1529. doi: 10.1186/s12889-023-16433-w.
According to the 7 National Population Census, China is experiencing rapid growth of its ageing population, with large spatial disparities in the distribution of older folks in different regions. And yet, scant comparative research has been conducted on the two regions of Zhejiang and Jilin in particular, which differ considerably in economic development but witness nearly the same ageing trend. In response, this article compares Zhejiang, an advanced economic province, with Jilin, with its relatively low level of economic development, to explore the ageing issue and analyse the spatial correlation between older populations and socioeconomic factors. Using the spatiotemporal data analysis and geographical detector approaches, we obtain three significant findings: 1. both provinces have maintained steady rates of increase in ageing; 2. the older populations in Zhejiang and Jilin are mostly concentrated in the provincial capitals and nearby cities with reasonably established economies; and 3. the factors, including local fiscal expenditures, beds in hospitals and nursing homes, and coverage of social security, show a highly similar spatial pattern between older populations in Zhejiang and Jilin. The q-values of all the selected socioeconomic factors in Jilin showed a growth trend, indicating that the spatial correlation between these factors and ageing is strengthening year on year, that is, the resources gained from the socioeconomic development of Jilin have shifted steadily toward old-age services. As a consequence, a vicious circle of the slowing down of the economic growth drives away working forces and quickens the pace of population ageing, is present. From a policy perspective, Jilin province is strongly dependent on state-owned enterprises characterised by institutional rigidity, an inflexible market economy and an under-developed private sector, all of which are profoundly influenced by ageing. The consequence is large population outflows of young people. In contrast, the economy of Zhejiang province is partially decoupled from the ageing trend, so the gap in level of development between its counties has been narrowing. The policy implication here is that Zhejiang represents an active private economy that has coped successfully with ageing by attracting young migrants and developing new forms of development, such as the digital economy.
根据第七次全国人口普查,中国老龄化人口快速增长,不同地区老年人口分布存在较大空间差异。然而,针对经济发展水平差异较大但老龄化趋势基本一致的浙江和吉林两省,相关比较研究却很少。为此,本文以经济发达的浙江省和经济欠发达的吉林省为例,探讨老龄化问题,并分析老年人口与社会经济因素的空间相关性。利用时空数据分析和地理探测器方法,我们得出了三个重要发现:1. 两省老龄化率均保持稳定增长;2. 浙江和吉林两省的老年人口主要集中在省会和经济较为发达的周边城市;3. 地方财政支出、医院和养老院床位、社会保障覆盖率等因素在浙江和吉林的老年人口中具有高度相似的空间分布。吉林所有选定的社会经济因素的 q 值均呈增长趋势,表明这些因素与老龄化之间的空间相关性逐年增强,即吉林社会经济发展所获得的资源正稳步向老年服务转移。因此,出现了经济增长放缓导致劳动力外流、人口老龄化加速的恶性循环。从政策角度来看,吉林省高度依赖以制度僵化、市场经济不灵活和私营部门欠发达为特征的国有企业,这些都深受老龄化的影响。结果是大量年轻人外流。相比之下,浙江的经济在一定程度上与老龄化趋势脱钩,因此其县与县之间的发展水平差距一直在缩小。这一政策启示是,浙江代表了一种活跃的私营经济,通过吸引年轻移民和发展新的发展形式,如数字经济,成功应对了老龄化问题。