Economic growth, public expenditure on health and IMR in India

Mohapatra, Subhalaxmi

doi:10.1108/ijse-05-2015-0121

Cited by 13 publications

(12 citation statements)

References 55 publications

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“…In another similar study, Sghari and Hammami (2013) observed a bidirectional causality relationship between the variables in the analysis of the relationship between per capita health expenditures and GDP per capita, using data covering the period 1975–2011 in 30 developed countries. More recently, Mohapatra (2017) found that there is a causality relationship in the short and long run from economic growth to public health expenditures and from public health expenditures to economic growth only in the long run with the data of 16 states of India between 1990–1991 and 2010–2011. Bayraktutan and Alancıoğlu (2020) investigated the causality relations between health expenditures and economic growth by using the 2000–2017 period data of 17 OECD countries through the Kónya (2006) causality test.…”

Section: Literature Reviewmentioning

confidence: 99%

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Canbay

Kırca

2022

JEFAS

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Purpose The study aims to determine whether there is a bidirectional causality relationship between health expenditures and per capita income in Brazil, Russia, India, China, South Africa and Turkey (BRICS+T). Design/methodology/approach For that purpose, the 2000–2018 period data of the variables were tested with the Kónya (2006) panel causality test. Additionally, the causality relationships between public and private health expenditures and per capita income were also investigated in the study. Findings According to the analysis results, there is no statistically significant causality relationship from total health expenditures and public health expenditures to per capita income in the relevant countries. Besides, there is a unidirectional causality relationship from private health expenditures to per capita income only in Turkey. On the other hand, a unidirectional causality relationship from per capita income to total health expenditures in China, Russia, Turkey and South Africa and from per capita income to public health expenditures in India, Russia, Turkey and South Africa were determined. Consequently, a causality relationship from per capita income to private health expenditures was found out in Russia and Turkey. Originality/value The variables are tested for the first time for BRICS+T countries, vis-à-vis the period under consideration and the method used.

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Section: Literature Reviewmentioning

confidence: 99%

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Canbay

Kırca

2022

JEFAS

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“…Khan et al (2016), while investigating the relationship between health care expenditure (HCE) and economic growth in the selected South Asian Association for Regional Cooperation (SAARC) countries during the period 1995-2012, found that there is a unidirectional causality running from per capita GDP to health care expenditure in the South Asian countries in the short run. Mohapatra (2017), while examining the relationship between economic growth, public expenditure on health and infant mortality rate in India, found that GDP Granger-causes public health expenditure in the short run and in the long run. Ye and Zhang (2018), while examining the relationship between health care expenditure and economic growth among 15 Organisation for Economic Co-operation and Development (OECD) and five major developing countries, found that there is a unidirectional linear or non-linear causality running from economic growth to health care expenditure for Ireland, Korea, Portugal, and India.…”

Section: Literature Reviewmentioning

confidence: 99%

Health expenditure and economic growth in sub-Saharan Africa: an empirical investigation

Odhiambo

2021

Development Studies Research

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In this study, the causal relationship between health expenditure and economic growth is examined using panel data from sub-Saharan African countries for the period 2008-2017. The study decomposes health expenditure into two components: public health expenditure and private health expenditure. In order to establish whether the causal relationship between health expenditure and economic growth depends on a country's level of income, the study divides the studied countries into two groups: low-income countries and middle-income countries. In order to address the omission-of-variable bias, which is associated with some of the previous studies, the study incorporates life expectancy as an intermittent variable between health expenditure and economic growththereby creating a system of multivariate equations. Using a panel ECM-based Granger-causality model, the study found that when public expenditure is used as a proxy, a distinct unidirectional causality from health expenditure to economic growth is found to prevail in low-income countries, but no causality is found to exist in middle-income countries. However, when private health expenditure is used, a short-run causality from economic growth to health expenditure is found to prevail in middle-income countries, but no causality is found to exist in low-income countries. Policy implications are discussed.

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“…Ref. [12] used panel cointegration and Granger causality studies to analyze 20 years of panel data for 16 major states in India. The results suggested that public health contributed to economic growth in the long run.…”

Section: Literature Reviewmentioning

confidence: 99%

The Mediating Role of Public Health between Environmental Policy Tools and Economic Development

Pan

Meng

et al. 2022

Energies

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Environmental pollution damages public health and affects economic development. Environmental regulation is the main way for the government to solve environmental pollution. So what type of environmental regulation works better for public health and economic development? Can environmental regulation have an influence on economic development through public health? To solve these problems, this research uses China’s provincial panel data from 2013 to 2017 to divide environmental regulation into command-control policy tools and economic incentive policy tools and uses the mediating effect model to examine the relationship among environmental regulation, public health and economic development. The results show that: (1) There is a positive correlation between economic incentive policy tools and economic development; while no significant relationship between command-control policy tools and economic development is founded; (2) The relationship between command-control policy tools and public health is not significant, while the relationship between economic incentive policy tools and public health is positive; (3) Public health does not play a mediating role between command-control policy tools and economic development but plays a partial mediating role between economic incentive policy tools and economic development. Therefore, the government should strengthen the use of economic incentive policy tools to promote public health and sustainable economic development.

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Economic growth, public expenditure on health and IMR in India

Cited by 13 publications

References 55 publications

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Health expenditure and economic growth in sub-Saharan Africa: an empirical investigation

The Mediating Role of Public Health between Environmental Policy Tools and Economic Development

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