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人均收入或消费支出在人均GDP与婴儿死亡率间的中介效应分析
Analysis of the Mediating Effect of Per Capita Income or Per Capita Consumption Expenditure between Per Capita GDP and Infant Mortality Rate

DOI: 10.12677/sa.2025.144118, PP. 383-398

Keywords: 婴儿死亡率,人均GDP,人均国民总收入,调整后的国民净人均收入,人均居民最终消费支出,中介分析
Infant Mortality Rate
, Per Capita GDP, Per Capita Gross National Income, Adjusted National Net Per Capita Income, Per Capita Final Consumption Expenditure of Residents, Mediation Analysis

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Abstract:

本文基于世界银行数据库的更新数据,按高、中、低收入国家分组,以2000~2021年婴儿死亡率为因变量,人均GDP为自变量,分别以人均国民总收入、调整后的国民净人均收入、人均居民最终消费支出为中介变量,进行中介效应分析。结果表明,人均国民总收入、调整后的国民净人均收入在高收入国家发挥遮掩作用,人均居民最终消费支出在高收入国家中介作用不显著,3个变量在中收入国家均发挥部分中介作用,低收入国家因样本量偏小中介效应有待验证。探索人均GDP与婴儿死亡率之间的中间变量,对于制定、实施降低婴儿死亡率的干预措施,有一定的作用。建议将经济发展成果通过收入或消费支出途径惠及儿童健康,切实消除收入不平等,着力调整消费结构。
This article is based on updated data from the World Bank database, grouped by high, medium, and low-income countries, with infant mortality rate from 2000 to 2021 as the dependent variable and per capita GDP as the independent variable, the mediating effects are analyzed using per capita gross national income, adjusted net per capita national income, and per capita final consumer expenditure as the mediating variables. The results indicate that per capita gross national income and adjusted net per capita national income play a masking role in high-income countries, while the mediating effect of per capita final consumption expenditure is not significant in high-income countries. All three variables play a partial mediating role in middle-income countries, while the mediating effect in low-income countries remains to be verified due to the small sample size. Exploring the intermediate variable between per capita GDP and infant mortality rate has a certain impact on implementing interventions to reduce infant mortality. It is suggested to benefit children’s health through income or consumption expenditure, effectively eliminate income inequality, and focus on adjusting the consumption structure.

References

[1]  Li, H.B., Feng, H.J., Wang, J., et al. (2017) Relationships among Gross Domestic Product per Capita, Government Health Expenditure per Capita and Infant Mortality Rate in China. Biomedical Research, 28, 2859-2864.
[2]  Akinlo, A.E. and Sulola, A.O. (2019) Health Care Expenditure and Infant Mortality in Sub-Saharan Africa. Journal of Policy Modeling, 41, 168-178.
https://doi.org/10.1016/j.jpolmod.2018.09.001
[3]  Qaiser Gillani, D., Gillani, S.A.S., Naeem, M.Z., Spulbar, C., Coker-Farrell, E., Ejaz, A., et al. (2021) The Nexus between Sustainable Economic Development and Government Health Expenditure in Asian Countries Based on Ecological Footprint Consumption. Sustainability, 13, Article 6824.
https://doi.org/10.3390/su13126824
[4]  Rashid, H. and Ramirez, M.D. (2021) Investigating the Causality between Remittances, Infant Mortality, and Economic Growth in India: A Cointegration and Vector Error Correction Model Analysis. Research in Applied Economics, 13, 21-44.
https://doi.org/10.5296/rae.v13i3.19042
[5]  Wang, L., Yang, L., Li, H., Cai, H., Huang, J. and Malkhazova, S.M. (2021) Abortion and Infant Mortality Change Driven by Socioeconomic Conditions in Russia. Geospatial Health, 16, Article 923.
https://doi.org/10.4081/gh.2021.923
[6]  Qaiser Gillani, D., Gillani, S.A.S., Naeem, M.Z., Spulbar, C., Coker-Farrell, E., Ejaz, A., et al. (2021) The Nexus between Sustainable Economic Development and Government Health Expenditure in Asian Countries Based on Ecological Footprint Consumption. Sustainability, 13, Article 6824.
https://doi.org/10.3390/su13126824
[7]  李鸿斌. 中国婴儿死亡率影响因素的岭回归分析[J]. 临床医学进展, 2023, 13(6): 9368-9377.
[8]  李鸿斌. 日本人均GDP与婴儿死亡率关系转变的分析与启示[J]. 统计学与应用, 2023, 12(5): 1222-1237.
[9]  李鸿斌, 冯海娟, 贲宇. 日本阶段性婴儿死亡率经济社会因素的岭回归分析[J]. 国际医学与数据杂志, 2023, 7(1): 4-7.
[10]  李鸿斌. 基于世界银行数据20个低收入国家婴儿死亡率影响因素的岭回归分析[J]. 临床医学进展, 2023, 13(8): 13116-13153.
[11]  Kim, K. (2019) Revisiting the Income Inequality Hypothesis with 292 OECD Regional Units. International Journal of Health Services, 49, 360-370.
https://doi.org/10.1177/0020731418814105
[12]  Baek, S. and Kim, K. (2018) Retesting the Income Inequality Hypothesis: Pooled Time-Series-Cross-Section Regression with a New Statistical Case Selection Method. Asian Social Work and Policy Review, 12, 191-199.
https://doi.org/10.1111/aswp.12150
[13]  Bugelli, A., Borgès Da Silva, R., Dowbor, L. and Sicotte, C. (2021) Health Capabilities and the Determinants of Infant Mortality in Brazil, 2004-2015: An Innovative Methodological Framework. BMC Public Health, 21, Article No. 831.
https://doi.org/10.1186/s12889-021-10903-9
[14]  Testoni Costa-Nobre, D., Kawakami, M.D., Areco, K.C.N., Sanudo, A., Balda, R.C.X., Marinonio, A.S.S., et al. (2021) Clusters of Cause Specific Neonatal Mortality and Its Association with per Capita Gross Domestic Product: A Structured Spatial Analytical Approach. PLOS ONE, 16, e0255882.
https://doi.org/10.1371/journal.pone.0255882
[15]  Bremberg, S.G. (2016) The Rate of Country-Level Improvements of the Infant Mortality Rate Is Mainly Determined by Previous History. The European Journal of Public Health, 26, 597-601.
https://doi.org/10.1093/eurpub/ckw059
[16]  Miladinov, G. (2021) Measuring of the Socio-Economic Causes of Infant Mortality in Macedonia, Turkey and Albania. Journal of Public Health, 31, 85-98.
https://doi.org/10.1007/s10389-020-01419-4
[17]  Wang, S. and Wu, J. (2020) Spatial Heterogeneity of the Associations of Economic and Health Care Factors with Infant Mortality in China Using Geographically Weighted Regression and Spatial Clustering. Social Science & Medicine, 263, Article 113287.
https://doi.org/10.1016/j.socscimed.2020.113287
[18]  Nuhu, K.M., McDaniel, J.T., Alorbi, G.A. and Ruiz, J.I. (2018) Effect of Healthcare Spending on the Relationship between the Human Development Index and Maternal and Neonatal Mortality. International Health, 10, 33-39.
https://doi.org/10.1093/inthealth/ihx053
[19]  温忠麟, 叶宝娟. 中介效应分析: 方法和模型发展[J]. 心理科学进展, 2014, 22(5): 731-745.
[20]  Beyene, S.D. (2023) The Impact of Food Insecurity on Health Outcomes: Empirical Evidence from Sub-Saharan African Countries. BMC Public Health, 23, Article No. 338.
https://doi.org/10.1186/s12889-023-15244-3
[21]  Kanamori, M., Kondo, N. and Nakamura, Y. (2021) Infant Mortality Rates for Farming and Unemployed Households in the Japanese Prefectures: An Ecological Time Trend Analysis, 1999-2017. Journal of Epidemiology, 31, 43-51.
https://doi.org/10.2188/jea.je20190090
[22]  Hone, T., Gonçalves, J., Seferidi, P., Moreno-Serra, R., Rocha, R., Gupta, I., et al. (2024) Progress towards Universal Health Coverage and Inequalities in Infant Mortality: An Analysis of 4·1 Million Births from 60 Low-Income and Middle-Income Countries between 2000 and 2019. The Lancet Global Health, 12, e744-e755.
https://doi.org/10.1016/s2214-109x(24)00040-8
[23]  Han, C., Xu, R., Zhang, Y., Yu, W., Zhang, Z., Morawska, L., et al. (2021) Air Pollution Control Efficacy and Health Impacts: A Global Observational Study from 2000 to 2016. Environmental Pollution, 287, Article 117211.
https://doi.org/10.1016/j.envpol.2021.117211
[24]  Cassidy-Vu, L., Way, V. and Spangler, J. (2022) The Correlation between Food Insecurity and Infant Mortality in North Carolina. Public Health Nutrition, 25, 1038-1044.
https://doi.org/10.1017/s136898002200026x
[25]  Pelenguei, E. and Pilo, M. (2022) Effect of Wealth Inequality on Child and Infant Mortality in Togo. BMC Health Services Research, 22, Article No. 1499.
https://doi.org/10.1186/s12913-022-08912-4
[26]  Lin, Y., Liu, F. and Xu, P. (2020) Effects of Drought on Infant Mortality in China. Health Economics, 30, 248-269.
https://doi.org/10.1002/hec.4191
[27]  Lu, Z., Bandara, J.S. and Paramati, S.R. (2019) Impact of Sanitation, Safe Drinking Water and Health Expenditure on Infant Mortality Rate in Developing Economies. Australian Economic Papers, 59, 13-33.
https://doi.org/10.1111/1467-8454.12167

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