The cyclicality of government health expenditure and its effects on population health

Liang, Li-Lin; Tussing, A. Dale

doi:10.1016/j.healthpol.2018.11.004

Cited by 27 publications

(17 citation statements)

References 27 publications

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“…The value of the coefficient of the population (2.701) infers that a 1% increase in population increases health expenditure directly and or indirectly by 2.701% for both countries. This has a link with Liang and Tussing's (2019) finding; that a one percent deviation from the GDP trend is positively correlated with a 0.61 percent deviation from the government health expenditure trend(Liang & Tussing, 2019).Also, we find that the labor force has a positive and significant influence on health care expenditure at a 1% level of significance. A percentage increase in the active labor force leads to an upward review of the health care expenditure by 1.410%.…”

supporting

confidence: 83%

Health Expenditure, CO2 Emissions, and Economic Growth: China vs. India

Atuahene¹,

Kong²,

Bentum‐Micah³

2020

Preprint

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Researchers’ attention has been turned on Health expenditure, Carbon emissions, and economic growth as they play a focal role in the current debate on environmental protection and sustainable development. Our paper endeavors to investigate the impact of economic growth and CO2 emissions on Health expenditure for two main countries in Asia (China and India) using a dynamic panel data model estimated employing the Generalized Method of Moments (GMM) for the period 1960–2019. Our empirical results show that there is a significant relationship between health expenditure, CO2 emissions, and economic growth. The empirical evidence indicates a significant positive impact of CO2 emissions on health expenditure whiles economic growth has a negative impact on health expenditure for both countries for the period under study. The population growth rate has transposed effect on India's health spending; on the other hand, its impact on China’s health spending is significantly positive. The strong observable correlation between health expenditure and economic growth is crucial for economic development.

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supporting

confidence: 83%

Health Expenditure, CO2 Emissions, and Economic Growth: China vs. India

Atuahene¹,

Kong²,

Bentum‐Micah³

2020

Preprint

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“…The literature is by no means shut of studies on the nexus between the environment, PHE, and health status. Recent studies that have examined this link include (Akinlo & Sulola, ; Becchetti, Conzo, & Salustri, ; Dhrifi, , ; Gomis‐Porqueras, Moslehi, & Suen, ; Jaba, Balan, & Robu, ; Kato, Mugarura, Kaberuka, Matovu, & Yawe, ; Li, Fujiura, Magaña, & Parish, ; Liang & Tussing, ; Linden & Ray, ; Nicholas, Edward, & Bernardin, ; Rahman, Khanam, & Rahman, ; van den Heuvel & Olaroiu, ; Ventelou & Abu‐Zaineh, ). Edeme et al () investigated the effect of PHE and urbanization on two different health status indicators in Nigeria from 1981 to 2014.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

“…Studies like Monsef and Mehrjardi () have also shown that CO 2 emissions may not necessarily be harmful to human health especially in developing countries where the emission level is still low. Liang and Tussing () examined the cyclicality of PHE on human health in 135 countries from 1995 to 2014 while controlling for Institutional quality. Findings revealed that GDP is positively correlated with PHE.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Public health financing, environmental quality, and the quality of life in Nigeria

Nathaniel

Khan

2020

Journal of Public Affairs

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This study explores the relationship between health financing, environmental quality, and the quality of life in Nigeria. The Bayer and Hanck cointegration test affirms cointegration. Findings further reveal that CO2 emissions have no meaningful impact on life expectancy in the short run. In the long run, urbanization significantly deteriorates the quality of life. Also, public health expenditure has not contributed meaningfully to the quality of life. The study discovers no evidence of a feedback causality, but a one‐way causality flowing from urbanization to CO2 emissions. Policies that can enhance a sustainable environment and improve the quality of life are discussed.

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“…First, according to the International Classification for Health (ICHA), general government health expenditure (GGHE) reflects the role played by governments at all levels and social security funds as fundraisers. The government can affect a country's health sectors, and subsequently its health outcomes, in several ways, such as the provision of public health services and the coverage of medical services [29]. Moreover, under the Chinese medical and health system, the government plays an irreplaceable leading role in the health service market, providing public goods, improving income distribution, and promoting social equity, so its health investment deeply reflects its emphasis on healthcare and livelihood issues, such as residents' health and medical burden.…”

Section: Public Policymentioning

confidence: 99%

Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis

Jia

Jiang

et al. 2021

Healthcare

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The continuous growth in total health expenditure (THE) has become a social issue of common concern in most countries. In China, the total health expenditure (THE) is maintaining a rapid growth trend that is higher than that of the economy, which has become increasingly obvious in the 21st century and has brought a heavy burden to the government and residents. To analyze the main driving factors of THE in China in the 21st century and establish a predictive model, gray system theory was employed to explore the correlation degree between THE and nine hot topics in the areas of the economy, population, health service utilization, and policy using national data from 2000 to 2018. Additionally, a New Structure of the Multivariate Gray Prediction Model of THE was established and compared with the traditional grey model and widely used BP neural network to evaluate the prediction effectiveness of the model. We concluded that the Chinese government and society have played a crucial role in reducing residents’ medical burden. Besides this, the improved economy and aging population have increased the demand for health services, leading to the continual increase in THE. Lastly, the improved NSGM(1,N) model achieved good prediction accuracy and has unique advantages in simulating and predicting THE, which can provide a basis for policy formulation.

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The cyclicality of government health expenditure and its effects on population health

Cited by 27 publications

References 27 publications

Health Expenditure, CO2 Emissions, and Economic Growth: China vs. India

Health Expenditure, CO2 Emissions, and Economic Growth: China vs. India

Public health financing, environmental quality, and the quality of life in Nigeria

Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis

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