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Does the augmentation of monetary and non-monetary factors prerequisite for the improvement of health outcomes? Evidence from the Indian states.
Das, Tiken; Das, Diganta.
  • Das T; Department of Economics, Nowgong College (Autonomous), Nagaon, Assam, India.
  • Das D; Mahapurusha Srimanta Sankaradeva Viswavidyalaya, Nagaon, Assam, India.
Int J Health Plann Manage ; 37(2): 1131-1156, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1549200
ABSTRACT
The present study was conducted in Indian states to examine the effect of monetary and non-monetary factors on Infant Mortality Rate (IMR) and Life Expectancy at Birth (LEB) by using the panel regression model. In addition, an attempt was also made to analysis the unequal pattern of health infrastructure and services across states over time with the help of a composite index on health infrastructure and services. It was found that the index value of the best performing state Chhattisgarh is more than fourth six times that of the worst performing state. The study also showed that, despite the higher level of average per capita public health expenditure and moderately better health infrastructure, the COVID 19 induced death rate was high in Punjab, Sikkim, Delhi and Goa. The panel regression results revealed that, an average increase of 1% in the monetary factor, public health expenditure to Gross State Domestic Product ratio (PHEGSDPR), would decrease the average of IMR by about 10%. Moreover, the elasticity of IMR with respect to non-monetary factor, health infrastructure and services per 0.1 million population (HISPLP), was negative and significant. Likewise, the explanatory variables, HISPLP and PHEGSDPR have a positive and significant effect on the LEB.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans / Infant / Infant, Newborn Language: English Journal: Int J Health Plann Manage Journal subject: Health Services Research / Health Services Year: 2022 Document Type: Article Affiliation country: Hpm.3397

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans / Infant / Infant, Newborn Language: English Journal: Int J Health Plann Manage Journal subject: Health Services Research / Health Services Year: 2022 Document Type: Article Affiliation country: Hpm.3397