Influence of national income, population, and waste emissions on food security utilization: New evidence related to Saudi Arabia's obesity
Raga Elzaki (),
Suzan Tami () and
Mohammed Al-Mahish ()
Edelweiss Applied Science and Technology, 2025, vol. 9, issue 10, 931-948
Abstract:
The prevalence of obesity in Saudi Arabia has been steadily increasing. This study aims to investigate the effects of urban population, national income, and waste emission shocks on obesity prevalence in Saudi Arabia. It utilizes annual time series data and applies the vector autoregressive (VAR) model, along with diagnostic tests including Granger causality, impulse response functions (IRFs), and forecast error variance decompositions (FEVDs). The results confirm that urban population and national income are the primary drivers of obesity prevalence in Saudi Arabia. Granger causality was observed between obesity, urban population, and waste emissions. The cumulative effects of shocks to the urban population, national income, and waste emissions significantly influence variations in obesity prevalence over time. The forecast error variance of obesity can be attributed mainly to urban population shocks. Policymakers should prioritize integrated urban planning, economic, and environmental strategies that promote healthy lifestyles, reduce socioeconomic disparities, and ensure sustainable living conditions. Coordinated efforts among public health, urban development, and economic sectors are essential to address obesity and its underlying determinants.
Keywords: Forecasting; National income; Population; VAR. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/10570/3421 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:10:p:931-948:id:10570
Access Statistics for this article
More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().