Issue |
E3S Web Conf.
Volume 574, 2024
1st International Scientific Conference “Green Taxonomy for Sustainable Development: From Green Technologies to Green Economy” (CONGREENTAX-2024)
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Article Number | 04001 | |
Number of page(s) | 9 | |
Section | Ecological Footprint and Environmental Impact | |
DOI | https://doi.org/10.1051/e3sconf/202457404001 | |
Published online | 02 October 2024 |
Analysis of the Influence of Economic Factors on the Ecological Footprint Using a Panel Regression Model
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
2 Tashkent State Pedagogical University named after Nizami, Tashkent, Uzbekistan
3 The National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan
* Corresponding author: dilnoz134@rambler.ru
With the growing importance of sustainable development, it becomes necessary to study the factors influencing the ecological footprint. This study aims to evaluate the impact of various economic factors on the ecological footprint using a panel regression model. The model used allows for both individual and time differences, which makes it suitable for the analysis of long-term and cross-regional data. The results show that increased economic development is associated with an increase in environmental footprint, but this impact can be significantly mitigated by investment in fixed assets and increased public awareness. The findings highlight the importance of cooperation and technology exchange to achieve sustainable development goals and reduce environmental pollution at the global level. The findings can serve as a basis for the development of practical recommendations for sustainable resource management and environmental policy aimed at improving the state of the environment.
Key words: Economic growth / Environmental sustainability / Macroeconomic factors / Reducing pollution
© 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.
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