| Issue |
E3S Web Conf.
Volume 574, 2024
1st International Scientific Conference “Green Taxonomy for Sustainable Development: From Green Technologies to Green Economy” (CONGREENTAX-2024)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 13 | |
| Section | Ecological Footprint and Environmental Impact | |
| DOI | https://doi.org/10.1051/e3sconf/202457404005 | |
| Published online | 02 October 2024 | |
Econometric Modeling of Environmental Pollution Factors and Their Impact on Life Expectancy in Uzbekistan
1 Diplomat University, Tashkent, Uzbekistan
2 Kyungsung University, Seoul, South Korea
3 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
* Corresponding author: lola130844@mail.ru
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.
Key words: Life expectancy / Environmental pollution / Econometric modeling
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.