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      Impact of urbanization and income inequality on life expectancy of male and female in South Asian countries: a moderating role of health expenditures

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      Humanities and Social Sciences Communications
      Springer Science and Business Media LLC

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          Abstract

          Urbanization, income inequality and health expenditures are important factors of life expectancy. Urbanization and income inequalities are avoidable occurrences to tackle the health penalties. The objective of this study is to estimate the impact of urbanization and income inequality on the life expectancy male and female in six selected South Asian countries. To investigate the impact of urbanization and income inequality on life expectancy, eight econometric models are specified and estimated with recent panel data from 1997 to 2021. Based on the Hausman test, the random effect model is used for estimation. Life expectancy male and life expectancy female, respectively, are the dependent variables. Urbanization and income inequality are the independent variables, and health expenditure is the control variable. Further, the study finds the interaction effect of health expenditure with urbanization on life expectancy (male and female). Results explain that urbanization, income inequality and health expenditure have significant impacts on life expectancy in the case of both male and female. In both cases, life expectancy is negatively affected by urbanization and income inequality, whereas health expenditure has a positive impact on life expectancy. Health expenditures moderate the impact of urbanization on life expectancies of male and female with a small size effect. It explains that the negative impact of urbanization can be mitigated through health expenditures. The results of the study are robust. Based on the results of the study, policy-makers may suggest overcoming the problems of urbanization. It is a dire need to redistribute income in South Asian countries to achieve better health and improve life expectancy. More public health expenditures are required in these countries to provide more health facilities, especially in urban areas, to mitigate the impact of urbanization on life expectancy.

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          On the Concept of Health Capital and the Demand for Health

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            Income inequality and population health: a review and explanation of the evidence.

            Whether or not the scale of a society's income inequality is a determinant of population health is still regarded as a controversial issue. We decided to review the evidence and see if we could find a consistent interpretation of both the positive and negative findings. We identified 168 analyses in 155 papers reporting research findings on the association between income distribution and population health, and classified them according to how far their findings supported the hypothesis that greater income differences are associated with lower standards of population health. Analyses in which all adjusted associations between greater income equality and higher standards of population health were statistically significant and positive were classified as "wholly supportive"; if none were significant and positive they were classified as "unsupportive"; and if some but not all were significant and supportive they were classified as "partially supportive". Of those classified as either wholly supportive or unsupportive, a large majority (70 per cent) suggest that health is less good in societies where income differences are bigger. There were substantial differences in the proportion of supportive findings according to whether inequality was measured in large or small areas. We suggest that the studies of income inequality are more supportive in large areas because in that context income inequality serves as a measure of the scale of social stratification, or how hierarchical a society is. We suggest three explanations for the unsupportive findings reported by a minority of studies. First, many studies measured inequality in areas too small to reflect the scale of social class differences in a society; second, a number of studies controlled for factors which, rather than being genuine confounders, are likely either to mediate between class and health or to be other reflections of the scale of social stratification; and third, the international relationship was temporarily lost (in all but the youngest age groups) during the decade from the mid-1980s when income differences were widening particularly rapidly in a number of countries. We finish by discussing possible objections to our interpretation of the findings.
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              Multiple Regression : Testing and Interpreting Interactions

              This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
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                Author and article information

                Journal
                Humanities and Social Sciences Communications
                Humanit Soc Sci Commun
                Springer Science and Business Media LLC
                2662-9992
                December 2023
                September 04 2023
                : 10
                : 1
                Article
                10.1057/s41599-023-02005-1
                37325188
                0746edd3-8c63-46cb-8a5b-dd1f0bfda2f0
                © 2023

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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