Impact of Environment, Life Expectancy and Real GDP per Capita on Health Expenditures: Evidence from the EU Member States

Bayar, Yılmaz; Gavriletea, Marius Dan; Pintea, Mirela; Sechel, Ioana Cristina

doi:10.3390/ijerph182413176

Cited by 17 publications

(13 citation statements)

References 38 publications

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“…Specifically, an increase in average GDP per capita by 1% will increase average per capita greenhouse gas emissions in Japan by 1.49%, in Canada by 1.03%, in the USA by 1.01%, and in Italy by 0.81%. Our work confirms the results from the revised literature i.e., one of the most determinants of health expenditure is GDP per capita (see Gerdtham et al ( 1998 ), Hitiris ( 1999 ), Erçelik ( 2018 ), Zaidi and Saidi ( 2018 ), and Bayar et al ( 2021 ).…”

Section: Discussionsupporting

confidence: 91%

“…The differences between countries represent the degree of industrialization of each country. These findings contrast with the results of Zaman and Abd-el Moemen’s (2017) work on the 14 Latin American economies, while agreeing with Zaidi and Saidi’s work ( 2018 ) for sub-Saharan African countries, Ganda's work ( 2021 ) for the BRICS countries, and Bayar et al’s work ( 2021 ) for EU countries. Moreover, the findings show that the growth of average GDP per capita is positively correlated with average greenhouse gas emissions per capita in all G7 countries.…”

Section: Discussionmentioning

confidence: 48%

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The Relationship Between Health Expenditure, CO2 Emissions, and Economic Growth in G7: Evidence from Heterogeneous Panel Data

Dritsaki

2023

J Knowl Econ

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AbstractΤhe current paper examines the relationship between per capita health care expenditures, per capita CO2 emissions, and per capita gross domestic product (GDP) in G7 countries. At the beginning, we examine the cross-sectional dependence and the slope homogeneity between the countries. Then, the second-generation unit root test is applied using the Pesaran, CIPS (2007) test, while for the cointegration test, the Westerlund (Oxford Bulletin of Economics and Statistics 69(6):709-748, 2007) test was applied. The long -run panel cointegration coefficients were analyzed with the augmented mean group (AMG) estimators, which allow the cross-sectional dependence and heterogeneity. Finally, the test by Dumitrescu and Hurlin (Economic Modelling 29(4):1450-1460, 2012) was used in order to check for causality taking into account the heterogeneity and cross-sectional dependence on panel data. The preliminary analyses show that variables are cross-sectional-dependant and heterogenous and are first-order stationary. Cointegration test by Westerlund (Oxford Bulletin of Economics and Statistics 69(6):709-748, 2007) which allows heterogeneity and cross-sectional dependence show that there is a stable and long-run relationship between variables. Moreover, the long-run coefficients which were estimated with the AMG approach are found to be statistically significant and positive for the GDP per capita, and negative in the case of greenhouse gas emissions per capita. Finally, causality test by Dumitrescu and Hurlin (Economic Modelling 29(4):1450-1460, 2012) revealed a unilateral causality from greenhouse gas emissions per capita towards health expenditure per capita for all G7 countries.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 48%

The Relationship Between Health Expenditure, CO2 Emissions, and Economic Growth in G7: Evidence from Heterogeneous Panel Data

Dritsaki

2023

J Knowl Econ

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“…One explanation is that good health increases the working capacity of workers. Life expectancy and real GDP per capita had also a significant impact on health expenditures (Bayar et al ., 2021).…”

Section: Discussionmentioning

confidence: 99%

Efficiency analysis of the OECD countries' long-term productivity using DEA and TOPSIS approaches

Antunes

Filgueira

Michelotto

et al. 2023

BIJ

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PurposeThis paper aims to investigate the performance of OECD countries' long-term productivity during the period of 1975–2018.Design/methodology/approachThis study employed different approaches to evaluate how efficiency scores vary with changes in inputs and outputs: Data Envelopment Analysis (CRS, VRS and FDH), TOPSIS and TOPSIS of these scores.FindingsThe findings suggest that, during the period of this study, countries with higher freedom of religion and with Presidential democracy regimes are positively associated with higher productivity.Originality/valueTo the best of the authors’ knowledge, this is the first study that uses efficiency models to assess the productivity levels of OECD countries based on several contextual variables that can potentially affect it.

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“…GDP > USD 125 billion, USD 28–125 billion, and GDP < USD 28 billion were recorded as the 3 levels. Additionally, 4 primary healthcare institutions (including health bureaus, centers for disease control and prevention, community health services centers, and public hospitals) were randomly selected at each GDP level [ 13 , 14 ]. The participants were investigated via an Internet questionnaire sent by the WeChat APPs.…”

Section: Methodsmentioning

confidence: 99%

The Mediating Role of Cumulative Fatigue on the Association between Occupational Stress and Depressive Symptoms: A Cross-Sectional Study among 1327 Chinese Primary Healthcare Professionals

Fan

et al. 2022

IJERPH

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Occupational stress and depressive symptoms are common among professionals in the primary healthcare system, and the former can lead to a more severe level of the latter. However, there are few studies on the mediating effect of occupational stress on depressive symptoms using cumulative fatigue as a mediating variable. The Core Occupational Stress Scale, the Self Diagnosis Scale of Workers’ Cumulative Fatigue, and the Patient Health Questionnaire were used in the proposed study. To analyze and test the mediating effect, the hierarchical regression analysis method and the Bootstrap method were applied. Our results showed that occupational stress was positively correlated with the level of cumulative fatigue (p < 0.01) and depressive symptoms (p < 0.01). Cumulative fatigue played a partial, mediating role between the four dimensions of occupational stress and depressive symptoms, and the effect size of occupational stress and each dimension was 0.116 (95% CI: 0.096–0.135, p < 0.001), −0.204 (95% CI: −0.245–−0.166, p < 0.001), 0.179 (95% CI: 0.143–0.218, p < 0.001), 0.333 (95% CI: 0.283–0.385, p < 0.001), and −0.210 (95% CI: −0.292–−0.132, p < 0.001), respectively, while the percentages of the mediating effects were 43.56%, 44.46%, 48.58%, 71.26%, and 45.80%, respectively. Occupational stress can directly or indirectly affect depressive symptoms through the mediating effect of cumulative fatigue. Therefore, primary healthcare professionals can reduce occupational stress, which in turn relieves depressive symptoms, and thus reduce cumulative fatigue levels.

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Impact of Environment, Life Expectancy and Real GDP per Capita on Health Expenditures: Evidence from the EU Member States

Cited by 17 publications

References 38 publications

The Relationship Between Health Expenditure, CO2 Emissions, and Economic Growth in G7: Evidence from Heterogeneous Panel Data

The Relationship Between Health Expenditure, CO2 Emissions, and Economic Growth in G7: Evidence from Heterogeneous Panel Data

Efficiency analysis of the OECD countries' long-term productivity using DEA and TOPSIS approaches

The Mediating Role of Cumulative Fatigue on the Association between Occupational Stress and Depressive Symptoms: A Cross-Sectional Study among 1327 Chinese Primary Healthcare Professionals

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