Contributions by age and cause to life expectancy gap between China and South Korea,1990-2019:a decomposition analysis

作     者：Siying Lyu Chunyong Chen Guillaume Marois 

作者机构：School of Sociology and Political SciencesAsian Demographic Research InstituteShanghai University99 Shanghai Rd.Shanghai 200444China International Institute for Applied Systems AnalysisWittgenstein Centre for Demography and Global Human CapitalIIASAOeAWUniversity of ViennaLaxenburgAustria 

出 版 物：《China Population and Development Studies》 (当代中国人口与发展（英文）)

年 卷 期：2023年第7卷第2期

页      面：160-180页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Life expectancy gap Cause of death Aging China 

摘      要：In the past 30 years,the life expectancy in China continues to rise yet at a slower pace because of,in large part,the heavy burden of chronic diseases on older age *** on data obtained from the United Nations World Population Prospects 2019 and the Global Burden of Disease Study 2019,this study applies Arriaga’s decomposition method to decompose the age/cause-specific contributions to life expectancy gap between China and South Korea during 1990-2019,which could provide understanding on mortality patterns and heavy burden by chronic disease resulting from an aging *** study has found that the life expectancy gap between these two countries for females has remained constant,while that of males has been increasing during the same *** finding is that non-communicable diseases,like cardiovascular diseases among the elderly(aged 60+),explain a large and enlarging part of the life expectancy gap between China and South Korea,especially among *** addition,maternal and neonatal disorders among children(age group 1-4ys)contribute less and less to life expectancy *** observations suggest a convergence of mortality pattern among younger age groups as well as the continued existence of substantial gaps among older age ***,given the precedent of South Korea,China should also take suicide as another issue with greater attention in the ***,this study concludes by suggesting targeted public health policies to reduce mortality in certain age groups and save more lives from certain diseases.