Department of Finance, Banking and Accounting, Faculty of Finance, Banking and Accounting, "Dimitrie Cantemir" Christian University, 030134 Bucharest, Romania.
Doctoral School of Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
Int J Environ Res Public Health. 2024 Oct 18;21(10):1379. doi: 10.3390/ijerph21101379.
The purpose of this study is to examine the connection between child mortality in Eastern Europe and ecological footprint, urbanization, education, health expenditure, and industrialization. The study acknowledges the significance of understanding how these factors influence the infant mortality rates in this region from 1993 to 2022. The Grossman Health Outcome (H-O) model investigates the theoretical framework. For the existence of the cross-sectional dependency, mixed-order unit root, and cointegration problem, the famous Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) approach is applied. The research also used the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) to check robustness. The findings illustrated that health expenditure and education lessen the infant mortality rate in Eastern European countries. But ecological footprint, industrialization and unemployment raise the infant mortality rate. According to the CS-ARDL findings, expenditure on healthcare significantly reduces child mortality. Still, the ecological footprint significantly impacts increasing child mortality. However, the AMG and CCEMG models demonstrate that investing in education is the most effective strategy for reducing child mortality. Therefore, the government of Eastern European countries should provide more priorities in the sustainable urbanization, health expenditure, and education sectors. The robustness of the AMG and CCEMG also demonstrated the strength of the CS-ARDL findings. This research paper contributes to SDG 3 by examining the environmental and health factors that influence child mortality in Eastern Europe. Policymakers, public health professionals, and other stakeholders can use the findings to inform the development and implementation of programs that specifically target the identified causes of child mortality.
本研究旨在探讨东欧儿童死亡率与生态足迹、城市化、教育、卫生支出和工业化之间的关系。本研究认识到理解这些因素如何影响该地区 1993 年至 2022 年婴儿死亡率的重要性。格罗斯曼健康结果(H-O)模型探讨了理论框架。由于存在横截面相关性、混合阶单位根和协整问题,应用了著名的横截面自回归分布滞后(CS-ARDL)方法。该研究还使用了广义平均组(AMG)和共同相关效应平均组(CCEMG)来检查稳健性。研究结果表明,卫生支出和教育降低了东欧国家的婴儿死亡率。但是生态足迹、工业化和失业会增加婴儿死亡率。根据 CS-ARDL 的发现,医疗保健支出显著降低了儿童死亡率。然而,生态足迹对增加儿童死亡率有显著影响。然而,AMG 和 CCEMG 模型表明,投资教育是降低儿童死亡率的最有效策略。因此,东欧国家政府应在可持续城市化、卫生支出和教育部门给予更多的重视。AMG 和 CCEMG 的稳健性也证明了 CS-ARDL 结果的强度。本研究通过研究影响东欧儿童死亡率的环境和健康因素,为可持续发展目标 3 做出了贡献。决策者、公共卫生专业人员和其他利益相关者可以利用这些发现来为专门针对确定的儿童死亡率原因的方案的制定和实施提供信息。