Is India experiencing health convergence? An empirical analysis

Hembram, Sulekha; Haldar, Sushil Kr.

doi:10.1007/s10644-020-09269-6

Cited by 5 publications

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before adoption of SAP in 1991, most of the works have found an evidence of absolute convergence, but after 1991, the results are found to be quite mixed though majority of the recent works support absolute divergent but conditional convergence. 1 Interstate economic and social disparities in India have been increasing in spite of various governmental measures to develop backward areas (Hembram & Haldar, 2020;Roy & Haldar, 2010;Sen & Himanshu, 2004). Research shows that the Human Development Index (HDI) across 15 major states does not show the same increase in regional inequality, as in the case of per capita state domestic product (Ghosh 2008;Singh et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Human Deprivation in India: Does Club Convergence Exist?

2021

Self Cite

View full text Add to dashboard Cite

A new measure of multidimensional human deprivation index (MHDI) across 24 states (over 4 time points corresponding to NFHS 1, 2, 3 and 4) is suggested here using principal component analysis (PCA). We observe that our weighted MHDI is found to be consistent with the Human Poverty Index (HPI) and the Multidimensional Poverty Index (MPI) introduced by UNDP in 1997 and 2010, respectively. Though most of the states in India have been experiencing a decline of the incidence of MHDI, but club convergence clearly proves that five major states such as Rajasthan, Madhya Pradesh, Bihar, Uttar Pradesh and Odisha are found consistently to be stable in the higher group of MHDI. Lagged MHDI, human capital investments along with availability of infrastructure are the underlying factors of differential MHDI across states. Therefore, allocation of grants should consider these issues of chronic MHDI found in five major states in order to ensure regional balance, equity and social justice in our federal structure.

show abstract

Section: Introductionmentioning

confidence: 99%

Multidimensional Human Deprivation in India: Does Club Convergence Exist?

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most convergence analysis have been based on income indicators. However, there are not as many studies that analyze convergence regarding health inequalities due to the complexity of measuring people's health [4].…”

Section: Introductionmentioning

confidence: 99%

The Changing Health Convergence For Life Expectancy and Spatial Interactions

Rodríguez¹,

Sáez²,

Prieto³

2021

Preprint

View full text Add to dashboard Cite

Background: Health convergence between the European Union countries and Spanish provinces is studied considering the spatial interactions among several territories. Health status measured through life expectancy in four ways: life expectancy at birth, life expectancy at age 65, disabilityadjusted life expectancy and healthy life expectancy based on self-perceived health. The period analyzed differs from one indicator to another, for the period 1998-2018. Methods: Two kinds of convergence are studied: σ-convergence, through standard deviation, and absolute β-convergence, estimating a determined regression. Furthermore, the Moran Test is performed in order to know the degree of spatial dependencies and two models of spatial regression (Spatial Lag Model and Spatial Error Model) are used to include these dependencies in the absolute β-convergence estimation. Results: Our findings suggest that there is a convergence process, both in σ and β, between the European Union countries and between the Spanish provinces. Therefore, dispersion is reduced, and growth rates have been higher where had lower life expectancy values at the beginning. On the other hand, β-convergence is higher in women among European countries and in men among Spanish provinces, whether we consider the model without spatial dependencies or the one which include them. Conclusion: In general, there have been convergence processes (both in sigma and beta) inside Europe and Spain. Otherwise, the rise of the dispersion means that there is not a clear evidence about the trend in the following period. This study has a double contribution. First, it provides an updated vision of the health convergence. Secondly, it contributes to consider spatial econometrics in Health Economics research. These insights can be considered to reduce health population inequalities.

show abstract