The well-known health-led growth hypothesis claims a positive correlation between health expenditure and economic growth. The aim of this paper is to empirically investigate the health-led growth hypothesis for the Turkish economy. The bound test approach, autoregressive-distributed lag approach (ARDL) and Kalman filter modeling are employed for the 1975-2013 period to examine the co-integration relationship between economic growth and health expenditure. The ARDL model is employed in order to investigate the long-term and short-term static relationship between health expenditure and economic growth. The results show that a 1 % increase in per-capita health expenditure will lead to a 0.434 % increase in per-capita gross domestic product. These findings are also supported by the Kalman filter model's results. Our findings show that the health-led growth hypothesis is supported for Turkey.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10198-016-0810-5 | DOI Listing |
Nutr Rev
January 2025
Faculty of Health Sciences, Department of Nutrition and Dietetics, Gazi University, Ankara 06495, Türkiye.
Chronic kidney disease (CKD) is a chronic health problem whose prevalence is increasing. Nutrition and nutrition-related factors, one of the modifiable risk factors for CKD, are of primary importance. The key to planning optimal nutritional therapy is accurately determining energy requirements and total energy expenditure.
View Article and Find Full Text PDFPEC Innov
June 2025
Faculty of Nursing, University of Calgary, PF3280C, 2500 University Drive, NW Calgary, AB T2N 1N4, Canada.
Objective: To compare direct, non-medical out-of-pocket expenditures (OOPE) between mothers receiving Alberta Family Integrated Care (FICare™) versus standard care (SC) during their infant's neonatal intensive care unit (NICU) admission and explore factors influencing spending extremes.
Methods: In this exploratory, concurrent mixed-methods sub-study, we compared mother-reported OOPE from Alberta FICare™ and SC parent journals. We thematically analyzed hand-written notes from 30 journals with the highest and lowest 5 % of OOPE.
Neurol Clin Pract
April 2025
Department of Neurology (AS), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Public Health Sciences (RBAB), University of North Carolina at Charlotte; Disparities Research Unit, Department of Medicine, Massachusetts General Hospital; Department of Psychiatry, Harvard Medical School; Harvard Medical School (DH, SW), Boston; and City University of New York at Hunter College (DH, SW).
Background And Objectives: Limited English proficiency (LEP) impairs health access-including outpatient specialty care-and quality care, i.e., inappropriate use of diagnostic tests.
View Article and Find Full Text PDFJ Health Econ Outcomes Res
September 2024
Avalon Health Economics, Coral Gables, Florida, USA.
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced the ability to identify lung cancer in earlier stages, there are still limitations. The alarming rate of false positives has resulted in unnecessary utilization of medical resources and increased risk of adverse events from invasive procedures.
View Article and Find Full Text PDFHealth Econ
January 2025
Centro de Investigaciones Económicas y Empresariales, Universidad Privada Boliviana, La Paz, Bolivia.
In this research we show that ambitious increases in tobacco tax rates can substantially reduce tobacco consumption, increase fiscal revenue, and provide net positive social benefits even in contexts of low consumption prevalence and intensity. Low nicotine intake still constitutes a grave disease risk factor, and the effectiveness of tax increases might be questioned if income effects are small. We adapt spatial variation of price methodologies to deal with low prevalence and intensity, censored data, and small samples using the Bolivian case as an illustration.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!