Econometric Modeling of Environmental Pollution Factors and Their Impact on Life Expectancy in Uzbekistan

\n The article examines the impact of environmental pollution factors on life expectancy in Uzbekistan. The study is based on econometric modeling methods, including panel data on the country’s regions for the period of 2010-2023. The area of protected natural areas, the volume of pollutant emissions into the atmosphere, the provision of doctors and hospital beds, and access to drinking water were utilized as factors influencing life expectancy. Despite the identification of some relationships, the modeling results showed limited explanatory power of the selected models, which is associated with the low quality and incompleteness of statistical data. The study revealed significant regional differentiation and polarization in environmental indicators, which requires measures to improve the quality of data and take into account additional factors.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-02
DOI
https://doi.org/10.1051/e3sconf/202457404005/pdf
Primary Topic
Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Econometric Modeling of Environmental Pollution Factors and Their Impact on Life Expectancy in Uzbekistan

Springer Link (Chiba Institute of Technology)
Biomedical and Chemical Research
article

Econometric Modeling of Environmental Pollution Factors and Their Impact on Life Expectancy in Uzbekistan

article en

Abstract

\n The article examines the impact of environmental pollution factors on life expectancy in Uzbekistan. The study is based on econometric modeling methods, including panel data on the country’s regions for the period of 2010-2023. The area of protected natural areas, the volume of pollutant emissions into the atmosphere, the provision of doctors and hospital beds, and access to drinking water were utilized as factors influencing life expectancy. Despite the identification of some relationships, the modeling results showed limited explanatory power of the selected models, which is associated with the low quality and incompleteness of statistical data. The study revealed significant regional differentiation and polarization in environmental indicators, which requires measures to improve the quality of data and take into account additional factors.\n

Springer Link (Chiba Institute of Technology)
Responsible consumption and production
Openalex Percentile: Top 47%
Biomedical and Chemical Research
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