The effect of carbon dioxide emission, GDP per capita and urban population on health expenditure in OECD countries: a panel ARDL approach

Kutlu, Gamze; Örün, Emre

doi:10.1080/09603123.2022.2083088

Cited by 6 publications

(5 citation statements)

References 27 publications

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“…);Baltagi and Moscone (2010);Wang et al (2019);Kutlu and Örün (2022) andMujtaba and Ashfaq (2022) which confirmed our results, in contrast to the study ofAlbulescu et al (2017) which has found that there is no relationship between GDP and health expenditure. Similarly, environmental degradation negatively affects healthcare spending in 5 countries (Germany, Italy, France, United States, and the United Kingdom) which confirms the study byWang et al (2019) which is in contrast to the study byBoachie et al (2014) and that byMoosa and Pham (2019).…”

supporting

confidence: 89%

The Link between Economic Growth, Air Pollution and Health Expenditure in the G7 Countries

Zeiri,

Bouzir,

Mbarek

et al. 2023

IJEEP

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The objective of this paper is to study the effect of economic growth and pollution on health expenditure in G7 countries, during the 1990-2020. In order to obtain a reliable estimate, we adopt the partial least squares (PLS) regression method, which focuses on three explanatory indicators (GDP, CO2, MR) and health expenditure (HE), as a dependent variable. The obtained empirical results reveal several important elements. First, all the models are significant, with the exception of Canada. Then, all countries have verified the economic theory that GDP positively affects HE. Then, we observe negative effects of CO2 emissions on HE, except in Japan. Finally, France, Italy, the United States and the United Kingdom have negative effects of MR on HE.

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supporting

confidence: 89%

The Link between Economic Growth, Air Pollution and Health Expenditure in the G7 Countries

Zeiri,

Bouzir,

Mbarek

et al. 2023

IJEEP

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“…With changes in green innovation (GINNO) and energy structure (ENER), the impact mechanism between ICT development and the TFCEE may have a structural changethat is, there may be a threshold effect (30). To examine this issue, we construct a dynamic threshold model (30) and present it below in Equation (4).…”

Section: Dynamic Threshold Modelmentioning

confidence: 99%

“…Consequently, China is the world's leading greenhouse gas emitter (1). Ample empirical evidence indicates that carbon emissions are among the significant factors threatening public health (2)(3)(4). Thus, low-carbon transition has massive potential to bring public health co-benefits by directly reducing carbon dioxide inhalation, mitigating climate change, and reducing air pollutants that share emission sources with CO 2 (2,(5)(6)(7).…”

Section: Introductionmentioning

confidence: 99%

Effects of information and communication technology on total-factor carbon emission efficiency and the health co-benefits

Linghu,

Wojewodzki,

Cheong

2024

Front. Public Health

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Information and communication technology (ICT) has great potential to propel economic development toward a low-carbon direction. This study aims to investigate the effect of ICT development on total-factor carbon emission efficiency (TFCEE), as well as its public health co-benefits. We use dynamic (threshold) models and a panel of 30 Chinese provinces from 2008 to 2019. The results suggest that ICT significantly and positively impacts the TFCEE. Specifically, for every 10 per cent increase in the internet development index, the TFCEE increases by 0.11 per cent. Moreover, we find that ICT development indirectly improves the TFCEE by promoting green innovation and energy structure optimization. Furthermore, when green innovation (energy structure represented by the share of coal) switches from below to above (above to below) its threshold value, the promotion effect of ICT development on the TFCEE increases. Additionally, the results show that improving the TFCEE can lead to co-benefits in strengthening China's public health. This study delivers novel insights on promoting the TFCEE through the ICT channel and highlights its positive health-related externalities. Furthermore, we offer policy recommendations to Chinese decision-makers, which can apply to other emerging economies battling similar issues.

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“…This study employed an ARDL bounds testing model and this cointegration test is a frequently used method in time-based data in health care services. When the recent studies using ARDL bounds testing are examined, it can be seen that the majority of these studies have investigated the relationships between some factors within and/or outside the health care system and health expenditures (Li et al, 2022;Kutlu & Örün, 2023;Lone & Lone, 2022;Hughes & Kaya, 2022;Mujtaba & Ashfaq, 2022). In addition to these studies, there are also various studies that address the determinants of life expectancy at birth via an ARDL bounds testing model, as in the current study.…”

Section: Literature Reviewmentioning

confidence: 99%

The Effect of Universal Health Coverage on Health Outcomes: The Case of Türkiye

Konca

2024

Alanya Akademik Bakış

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This study aimed to examine the effect of Universal Health Coverage practice on life expectancy at birth (as years) in Türkiye. An autoregressive distributed lag bounds testing (ARDL) model was used. The independent variables were the number of physicians (per 1,000 people), the ratio of health expenditures to the gross domestic product, and the Universal Health Coverage practice in the study model. Life expectancy at birth was selected as the dependent variable. The ratio of health expenditures to the gross domestic product (p=0.001) and Universal Health Coverage practice (p=0.011) were found to have statistically significant and positive effects on life expectancy at birth in the long run. Universal Health Coverage practice was also found to have a statistically significant and positive effect on life expectancy at birth in the short run (p=0.001). After ARDL, the robustness of results was tested with Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and Canonical Cointegrating Regressions.

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The effect of carbon dioxide emission, GDP per capita and urban population on health expenditure in OECD countries: a panel ARDL approach

Cited by 6 publications

References 27 publications

The Link between Economic Growth, Air Pollution and Health Expenditure in the G7 Countries

The Link between Economic Growth, Air Pollution and Health Expenditure in the G7 Countries

Effects of information and communication technology on total-factor carbon emission efficiency and the health co-benefits

The Effect of Universal Health Coverage on Health Outcomes: The Case of Türkiye

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