Qi Di, Xu Wenhan
School of Finance, Nanjing Agricultural University, Nanjing, China.
School of Accounting, Nanjing Audit University, Nanjing, China.
Front Public Health. 2025 Jan 3;12:1410359. doi: 10.3389/fpubh.2024.1410359. eCollection 2024.
This study investigates the impact of industrial synergistic agglomeration on residents' health levels in China. It explores how green and traditional industry agglomeration models influence residents' health levels outcomes and identifies the underlying mechanisms driving these effects.
Using panel data from 283 prefecture-level cities and above in China from 2003 to 2020, the study applies the Generalized Spatial Two-Stage Least Squares (GS2SLS) method. This approach allows for a systematic analysis of both direct and spatial spillover effects, focusing on the comparative impacts of green and traditional industrial agglomeration models.
(i) Spatial Effects: Residents' health levels exhibits a significant positive spatial effect, with public health improvements in one city positively influencing neighboring cities.(ii) Industrial Agglomeration: Industrial synergistic agglomeration has a stronger positive impact on residents' health levels compared to single-industry agglomeration.(iii) Mechanisms: The effect of industrial synergistic agglomeration on residents' health levels operates through three primary mechanisms:- Population Agglomeration Effects: Enhanced population clustering contributes to better public health services.- Media Dissemination Effects: Improved information dissemination raises public health awareness.- Income Growth Effects: Increased income levels drive better access to healthcare and lifestyle improvements.(iv) Model Comparison: Green industry synergistic agglomeration proves more beneficial for residents' health levels improvement than traditional industry agglomeration.
The findings highlight the critical role of industrial synergistic agglomeration, particularly in green industries, in promoting residents' health levels. Policymakers are encouraged to prioritize strategies fostering green industry clustering and to leverage the identified mechanisms to amplify public health benefits across regions.
本研究调查了产业协同集聚对中国居民健康水平的影响。它探讨了绿色产业和传统产业集聚模式如何影响居民健康水平结果,并确定了驱动这些影响的潜在机制。
利用2003年至2020年中国283个及以上地级市的面板数据,本研究应用了广义空间两阶段最小二乘法(GS2SLS)。这种方法允许对直接和空间溢出效应进行系统分析,重点关注绿色产业和传统产业集聚模式的比较影响。
(i)空间效应:居民健康水平呈现出显著的正向空间效应,一个城市的公共卫生改善对邻近城市有积极影响。(ii)产业集聚:与单一产业集聚相比,产业协同集聚对居民健康水平有更强的正向影响。(iii)机制:产业协同集聚对居民健康水平的影响通过三个主要机制发挥作用:- 人口集聚效应:增强的人口集聚有助于提供更好的公共卫生服务。- 媒体传播效应:改善的信息传播提高了公众健康意识。- 收入增长效应:收入水平的提高推动了更好的医疗保健获取和生活方式改善。(iv)模型比较:绿色产业协同集聚比传统产业集聚对居民健康水平的改善更有益。
研究结果突出了产业协同集聚,特别是绿色产业协同集聚在促进居民健康水平方面的关键作用。鼓励政策制定者优先考虑促进绿色产业集群的战略,并利用已确定的机制扩大各地区的公共卫生效益。