Regional Inequalities and Influencing Factors of Residents’ Health in China: Analysis from the Perspective of Opening-Up

Gao, Guozhen; Hu, Jinmiao; Wang, Yuanyuan; Wang, Guofeng

doi:10.3390/ijerph191912069

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…Dayyab F. et al studied the role of geographical factors [29], and Anam S. and Shar N. A. studied the role of climatic factors [30]. The role of socioeconomic factors in population health, disease transmission, and suicide were also highlighted [31,32]. Nurhayati A. et al outlined the relationship between working conditions and working environment and occupational disease incidence [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Partial Contribution of Socioeconomic Factors to the Mortality Rate of the Working-Age Population in Russia

et al. 2023

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This study’s relevance lies in the need to assess the role of socioeconomic, medical, and demographic factors on working-age population mortality in Russia. The purpose of this study is to substantiate the methodological tools for the assessment of the partial contribution of the most important factors that determine the dynamics of the mortality of the working-age population. Our hypothesis is that the factors determining the socioeconomic situation in the country affect the level and dynamics of mortality of the working-age population, but to a different extent in each separate period. To analyse the impact of the factors, we used official Rosstat data for the period from 2005 to 2021. We used the data that reflect the dynamics of socioeconomic and demographic indicators, including the dynamics of mortality of the working-age population in Russia as a whole and in its 85 regions. First, we selected 52 indicators of socioeconomic development and then grouped them into four factor blocks (working conditions, health care, life security, living standards). To reduce the level of statistical noise, we carried out a correlation analysis, which allowed us to narrow down the list to 15 key indicators with the strongest association with the mortality rate of the working-age population. The total period of 2005–2021 was divided into five segments of 3–4 years each, characterising the picture of the socioeconomic state of the country during the period under consideration. The socioeconomic approach used in the study made it possible to assess the extent to which the mortality rate was influenced by the indicators adopted for analysis. The results of this study show that over the whole period, life security (48%) and working conditions (29%) contributed most to the level and dynamics of mortality in the working-age population, while factors determining living standards and the state of the healthcare system accounted for much smaller shares (14% and 9%, respectively). The methodological apparatus of this study is based on the application of methods of machine learning and intelligent data analysis, which allowed us to identify the main factors and their share in the total influence on the mortality rate of the working-age population. The results of this study show the need to monitor the impact of socioeconomic factors on the dynamics and mortality rate of the working-age population in order to improve the effectiveness of social programme. When developing and adjusting government programmes to reduce mortality in the working-age population, the degree of influence of these factors should be taken into account.

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Section: Literature Reviewmentioning

confidence: 99%

Partial Contribution of Socioeconomic Factors to the Mortality Rate of the Working-Age Population in Russia

et al. 2023

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“…However, the China government has implemented a series of effective supporting policies in recent years. The central region has been actively promoting the building of the Belt and Road Initiative, which aims to enhance communication and cooperation with neighboring areas ( 45 ). These efforts are expected to produce positive spatial spillover effects of the healthcare industry on public health in the central region.…”

Section: Discussionmentioning

confidence: 99%

The impact of healthcare industry convergence on the performance of the public health system: a geospatial modeling study of provincial panel data from China

Li,

Zhu,

Liu

et al. 2023

Front. Public Health

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ObjectiveThis paper examines the impact of healthcare industry convergence on the performance of the public health system in the eastern, central, and western regions of China.MethodsPublic health performance was measured by a composite index of three standards: average life expectancy at birth, perinatal mortality, and maternal mortality. The healthcare industry convergence was measured using a coupling coordination degree method. The spatial lag, spatial error, and spatial Durbin models were used to estimate the effect of healthcare industry convergence on public health system performance and this effect’s spatial dependence and heterogeneity across eastern, central, and western China using panel data from 30 Chinese provinces from 2002 to 2019.ResultsThe convergence of the healthcare industry significantly promotes regional public health [β =0.576, 95% CI: (0.331,0.821)]. However, the convergence does not have a spatial spillover effect on the public health system at the national level. Additionally, analysis of regional heterogeneity shows that the direct effects of healthcare industry convergence on public health are positive and statistically significant for Eastern China, statistically insignificant for Central China, and positive and statistically significant for Western China. The indirect effects are negative, statistically significant, positive, statistically significant, and statistically insignificant for these three regions, respectively.ConclusionPolicy efforts should strengthen the convergence between the healthcare industry and relevant industries. It can produce more current healthcare services to improve public health and reduce regional health inequality.

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Research on the Spatial and Temporal Patterns and Formation Mechanisms of Intergenerational Health Mobility in China

Lu,

Yang,

Gao

2024

Soc Indic Res

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Regional Inequalities and Influencing Factors of Residents’ Health in China: Analysis from the Perspective of Opening-Up

Cited by 3 publications

References 36 publications

Partial Contribution of Socioeconomic Factors to the Mortality Rate of the Working-Age Population in Russia

Partial Contribution of Socioeconomic Factors to the Mortality Rate of the Working-Age Population in Russia

The impact of healthcare industry convergence on the performance of the public health system: a geospatial modeling study of provincial panel data from China

Research on the Spatial and Temporal Patterns and Formation Mechanisms of Intergenerational Health Mobility in China

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