Influencing factors of provincial population mortality in China from the perspective of environment

Chen, Yihui; Li, Minjie; Chen, Bizhen

doi:10.1504/ijee.2024.10053438

Cited by 1 publication

(2 citation statements)

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“…Fan also utilized the Cox proportional hazards regression model to compute hazard ratios and conducted subgroup analyses based on various factors [18] . Other techniques, such as multiple regression analysis [9] , global spatial autocorrelation models, local spatial autocorrelation models, and spatial regression analysis methods [17] , are employed to investigate various aspects of regional mortality patterns.…”

Section: Research Methods For Regional Mortality Patternsmentioning

confidence: 99%

“…Li's work showcased the significant impact of healthcare resource investment on regional disparities in elderly health [16] . Chen et al conducted a comprehensive investigation into various factors shaping population mortality, spanning from wastewater pollution to healthcare improvements [17] . Fan's latent socioeconomic status variable stressed the pivotal role of higher socioeconomic status in mitigating mortality risk among Chinese individuals aged 65 and above [18] .…”

Section: Factors Influencing Mortality Patterns Researchmentioning

confidence: 99%

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How Have Socio-Economic Factors Affected Regional Mortality Pattern in China?

Li,

Zhang,

2023

Preprint

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The level of regional population mortality is closely related to the degree of regional socio-economic development. This paper attempts to identify the key socio-economic factors influencing the mortality patterns among China's provincial regions and analyze the mechanisms driving these patterns. We first used the data of the Chinese Seventh Population Census to obtain mortality patterns by age, gender, and urban-rural divided for 31 provincial-level administrative regions. Then, stepwise regression was used to screen out twelve socio-economic indicators affecting mortality patterns, and we employed a functional regression model to analyze the influence of these indicators on mortality probabilities across different age groups. The main findings of this study include: (1) Significant gender and urban-rural disparities are evident in China's regional mortality patterns, affecting nearly all age groups. (2) The substantial marginal impact of socio-economic factors on the mortality pattern generally becomes evident after the age of 45, with less pronounced differences in their impact on early-life mortality patterns. (3) The influence of socio-economic factors on mortality patterns varies across different age groups, suggesting the complexity and heterogeneity of this impact in regional mortality patterns, while also acknowledging certain limitations.

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Section: Research Methods For Regional Mortality Patternsmentioning

confidence: 99%

Section: Factors Influencing Mortality Patterns Researchmentioning

confidence: 99%