衡量印度自我报告发病率的社会经济不平等:分解分析

M. Akhtar, Nadeem Ahmad, I. Chowdhury
{"title":"衡量印度自我报告发病率的社会经济不平等:分解分析","authors":"M. Akhtar, Nadeem Ahmad, I. Chowdhury","doi":"10.1177/0972266120916317","DOIUrl":null,"url":null,"abstract":"Abstract This paper assesses socio-economic inequalities in self-reported morbidities (SRMs) among households in India. Particularly, we addressed two questions. Is socio-economic-related inequality in SRMs significantly pro-rich or pro-poor? What are the major socio-economic and regional determinants contributing to inequality? This study is based on National Sample Survey 71st round (2014). We calculated equity ratio and concentration index (CI) to assess socio-economic-related inequality. Further, we applied probit regression and decomposition of CI to identify the major factors contributing to inequality. The finding suggests that SRMs and hospital admission have significantly pro-rich distribution, and accessibility to healthcare is a constraint against poor households. After adjusting the inequality, the unjust inequality due to socio-economic gradient is still found to be significant. Overall, income and regional differences are observed to be inflating factors, while education and insurance are observed to be deflating factors in socio-economic inequality in SRMs. High out-of-pocket expenditure with high proportion of transportation cost indicates high burden of accessing healthcare, which acts as a deterrent for poor in seeking healthcare. The government targets of investing 2.5 per cent of the Gross Domestic Product in the healthcare sector and running an ambitious programme like Universal Health Coverage are necessary efforts in the presence of income and health inequalities.","PeriodicalId":202404,"journal":{"name":"Review of Development and Change","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Measuring Socio-Economic Inequality in Self-Reported Morbidity in India: Decomposition Analysis\",\"authors\":\"M. Akhtar, Nadeem Ahmad, I. Chowdhury\",\"doi\":\"10.1177/0972266120916317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper assesses socio-economic inequalities in self-reported morbidities (SRMs) among households in India. Particularly, we addressed two questions. Is socio-economic-related inequality in SRMs significantly pro-rich or pro-poor? What are the major socio-economic and regional determinants contributing to inequality? This study is based on National Sample Survey 71st round (2014). We calculated equity ratio and concentration index (CI) to assess socio-economic-related inequality. Further, we applied probit regression and decomposition of CI to identify the major factors contributing to inequality. The finding suggests that SRMs and hospital admission have significantly pro-rich distribution, and accessibility to healthcare is a constraint against poor households. After adjusting the inequality, the unjust inequality due to socio-economic gradient is still found to be significant. Overall, income and regional differences are observed to be inflating factors, while education and insurance are observed to be deflating factors in socio-economic inequality in SRMs. High out-of-pocket expenditure with high proportion of transportation cost indicates high burden of accessing healthcare, which acts as a deterrent for poor in seeking healthcare. The government targets of investing 2.5 per cent of the Gross Domestic Product in the healthcare sector and running an ambitious programme like Universal Health Coverage are necessary efforts in the presence of income and health inequalities.\",\"PeriodicalId\":202404,\"journal\":{\"name\":\"Review of Development and Change\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Development and Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0972266120916317\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Development and Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0972266120916317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

摘要本文评估了印度家庭中自我报告的发病率(srm)的社会经济不平等。我们特别讨论了两个问题。srm中与社会经济相关的不平等是显著地有利于富人还是有利于穷人?造成不平等的主要社会经济和区域决定因素是什么?本研究基于2014年第71轮全国抽样调查。我们计算了公平比率和集中度指数(CI)来评估与社会经济相关的不平等。此外,我们应用probit回归和CI分解来确定导致不平等的主要因素。研究结果表明,srm和住院率具有显著的亲富人分布,获得医疗保健是对贫困家庭的约束。在对不平等进行调整后,发现社会经济梯度导致的不公平不平等仍然显著。总体而言,收入和地区差异被观察到是膨胀因素,而教育和保险被观察到是srm中社会经济不平等的紧缩因素。自付费用高,交通费用占比高,表明获得医疗保健的负担高,这对穷人寻求医疗保健起到了威慑作用。政府的目标是将国内生产总值的2.5%投资于医疗保健部门,并开展一项雄心勃勃的计划,如全民健康覆盖,这是在存在收入和健康不平等的情况下的必要努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Socio-Economic Inequality in Self-Reported Morbidity in India: Decomposition Analysis
Abstract This paper assesses socio-economic inequalities in self-reported morbidities (SRMs) among households in India. Particularly, we addressed two questions. Is socio-economic-related inequality in SRMs significantly pro-rich or pro-poor? What are the major socio-economic and regional determinants contributing to inequality? This study is based on National Sample Survey 71st round (2014). We calculated equity ratio and concentration index (CI) to assess socio-economic-related inequality. Further, we applied probit regression and decomposition of CI to identify the major factors contributing to inequality. The finding suggests that SRMs and hospital admission have significantly pro-rich distribution, and accessibility to healthcare is a constraint against poor households. After adjusting the inequality, the unjust inequality due to socio-economic gradient is still found to be significant. Overall, income and regional differences are observed to be inflating factors, while education and insurance are observed to be deflating factors in socio-economic inequality in SRMs. High out-of-pocket expenditure with high proportion of transportation cost indicates high burden of accessing healthcare, which acts as a deterrent for poor in seeking healthcare. The government targets of investing 2.5 per cent of the Gross Domestic Product in the healthcare sector and running an ambitious programme like Universal Health Coverage are necessary efforts in the presence of income and health inequalities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信