Income-related health inequalities across regions in Korea

被引:26
作者
Hong, Eunju [2 ]
Ahn, Byung Chul [1 ]
机构
[1] Yeungnam Univ, Sch Econ & Finance, Kyungsan Si 712749, Kyungbuk, South Korea
[2] Hanyang Cyber Univ, Dept Senior Ind Management, Seoul 133791, South Korea
关键词
Bootstrapping; Gini Coefficient; Health Inequality; Convergence; Self-Rated Health; Concentration Index; GINI COEFFICIENT; STANDARD ERROR; EDUCATION; CARE;
D O I
10.1186/1475-9276-10-41
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: In addition to economic inequalities, there has been growing concern over socioeconomic inequalities in health across income levels and/or regions. This study measures income-related health inequalities within and between regions and assesses the possibility of convergence of socioeconomic inequalities in health as regional incomes converge. Methods: We considered a total of 45,233 subjects (>= 19 years) drawn from the four waves of the Korean National Health and Nutrition Examination Survey (KNHANES). We considered true health as a latent variable following a lognormal distribution. We obtained ill-health scores by matching self-rated health (SRH) to its distribution and used the Gini Coefficient (GC) and an income-related ill-health Concentration Index (CI) to examine inequalities in income and health, respectively. Results: The GC estimates were 0.3763 and 0.0657 for overall and spatial inequalities, respectively. The overall CI was -0.1309, and the spatial CI was -0.0473. The spatial GC and CI estimates were smaller than their counterparts, indicating substantial inequalities in income (from 0.3199 in Daejeon to 0.4233 Chungnam) and income-related health inequalities (from -0.1596 in Jeju and -0.0844 in Ulsan) within regions. The results indicate a positive relationship between the GC and the average ill-health and a negative relationship between the CI and the average ill-health. Those regions with a low level of health tended to show an unequal distribution of income and health. In addition, there was a negative relationship between the GC and the CI, that is, the larger the income inequalities, the larger the health inequalities were. The GC was negatively related to the average regional income, indicating that an increase in a region's average income reduced income inequalities in the region. On the other hand, the CI showed a positive relationship, indicating that an increase in a region's average income reduced health inequalities in the region. Conclusion: The results suggest that reducing health inequalities across regions require a more equitable distribution of income and a higher level of average income and that the higher the region's average income, the smaller its health inequalities are.
引用
收藏
页数:11
相关论文
共 29 条
  • [1] Income-Related Health Inequalities in Korea
    Ahn, Byung Chul
    Engelhardt, Katrin
    Joung, Hyojee
    [J]. ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH, 2010, 22 (01) : 32 - 41
  • [2] [Anonymous], NAT HLTH INS STAT YB
  • [3] Is there a north-south divide in social class inequalities in health in Great Britain? Cross sectional study using data from the 2001 census
    Doran, T
    Drever, F
    Whitehead, M
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2004, 328 (7447): : 1043 - 1045
  • [4] ERREYGERS G, 2011, J HLTH EC
  • [5] Regional inequality in health and its determinants: Evidence from China
    Fang, Pengqian
    Dong, Siping
    Xiao, Jingjing
    Liu, Chaojie
    Feng, Xianwei
    Wang, Yiping
    [J]. HEALTH POLICY, 2010, 94 (01) : 14 - 25
  • [6] Unfair inequalities in health and health care
    Fleurbaey, Marc
    Schokkaert, Erik
    [J]. JOURNAL OF HEALTH ECONOMICS, 2009, 28 (01) : 73 - 90
  • [7] Changing access to health services in urban China: implications for equity
    Gao, J
    Tang, SL
    Tolhurst, R
    Rao, KQ
    [J]. HEALTH POLICY AND PLANNING, 2001, 16 (03) : 302 - 312
  • [8] A note on validating Wagstaff and van Doorslaer's health measure in the analysis of inequalities in health
    Gerdtham, UG
    Johannesson, M
    Lundberg, L
    Isacson, D
    [J]. JOURNAL OF HEALTH ECONOMICS, 1999, 18 (01) : 117 - 124
  • [9] Calculating a standard error for the Gini coefficient: Some further results
    Giles, DEA
    [J]. OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2004, 66 (03) : 425 - 433
  • [10] Socioeconomic inequalities in health: Measurement, computation, and statistical inference
    Kakwani, N
    Wagstaff, A
    vanDoorslaer, E
    [J]. JOURNAL OF ECONOMETRICS, 1997, 77 (01) : 87 - 103