{"title":"影响孟加拉国预期寿命的因素:2000-2020年数据的证据","authors":"Nujhat Atia, A. A. Zabir, Abdullah Al Hasan","doi":"10.22159/ijss.2022.v10i6.46458","DOIUrl":null,"url":null,"abstract":"Life expectancy is the key metric for assessing population health for any country. Life expectancy has increased rapidly since the age of enlightenment and there are various factors those affect the average life expectancy of people. This study aims to assess the factors affecting life expectancy of people in Bangladesh using panel data from 2000 to 2020. Multiple linear regression analysis was employed to assess the factor those affect life expectancy. Result showed that population is positively and significantly related with life expectancy. In case of per capita income, negative and significant association was found. Inflation and unemployment rate were found negatively associated with life expectancy of people in Bangladesh. Positive association of number of physicians with life expectancy was found for female and for all, but negative relation was observed for male. Result suggests that to increase the life expectancy with increasing number of physician, we need to control unemployment and inflation rate.","PeriodicalId":254239,"journal":{"name":"Innovare Journal of Social Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FACTORS AFFECTING LIFE EXPECTANCY IN BANGLADESH: EVIDENCE FROM 2000–2020 DATA\",\"authors\":\"Nujhat Atia, A. A. Zabir, Abdullah Al Hasan\",\"doi\":\"10.22159/ijss.2022.v10i6.46458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Life expectancy is the key metric for assessing population health for any country. Life expectancy has increased rapidly since the age of enlightenment and there are various factors those affect the average life expectancy of people. This study aims to assess the factors affecting life expectancy of people in Bangladesh using panel data from 2000 to 2020. Multiple linear regression analysis was employed to assess the factor those affect life expectancy. Result showed that population is positively and significantly related with life expectancy. In case of per capita income, negative and significant association was found. Inflation and unemployment rate were found negatively associated with life expectancy of people in Bangladesh. Positive association of number of physicians with life expectancy was found for female and for all, but negative relation was observed for male. Result suggests that to increase the life expectancy with increasing number of physician, we need to control unemployment and inflation rate.\",\"PeriodicalId\":254239,\"journal\":{\"name\":\"Innovare Journal of Social Sciences\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovare Journal of Social Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22159/ijss.2022.v10i6.46458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovare Journal of Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22159/ijss.2022.v10i6.46458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FACTORS AFFECTING LIFE EXPECTANCY IN BANGLADESH: EVIDENCE FROM 2000–2020 DATA
Life expectancy is the key metric for assessing population health for any country. Life expectancy has increased rapidly since the age of enlightenment and there are various factors those affect the average life expectancy of people. This study aims to assess the factors affecting life expectancy of people in Bangladesh using panel data from 2000 to 2020. Multiple linear regression analysis was employed to assess the factor those affect life expectancy. Result showed that population is positively and significantly related with life expectancy. In case of per capita income, negative and significant association was found. Inflation and unemployment rate were found negatively associated with life expectancy of people in Bangladesh. Positive association of number of physicians with life expectancy was found for female and for all, but negative relation was observed for male. Result suggests that to increase the life expectancy with increasing number of physician, we need to control unemployment and inflation rate.