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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Investigation of the Impact of Environmental Degradation on the Transition to Clean Energy: New Evidence from Sultanate of Oman

Energies. 2025. Vol. 18. No. 4. Article 839.
Kilinc-Ata N.

All nations are searching for ways to address their environmental gaps to assure long-term sustainability, given the alarming rate at which the environment is deteriorating. As one of the nations pursuing clean energy, Oman needs to embrace eco-friendly practices that can encourage sustainability and resource efficiency to establish green ecosystems. This study uses an autoregressive distributed lag (ARDL) model to examine the link between CO2 emissions, GDP, energy consumption, financial development, foreign direct investment, urbanization, and population in the Sultanate of Oman between 1990 and 2023. The Middle Eastern nation of Oman was selected for the case study because it has traditionally depended on its domestic fossil fuel resources. Furthermore, the country has been a net exporter and surplus oil producer, underscoring Oman’s long-standing reliance on fossil fuels. The findings indicate that urbanization and GDP lower CO2 emissions, whereas population growth, energy use, FDI, and financial development raise emissions. As per the EKC model, the GDP2 coefficient was 0.488 and β1 < 0. This suggests that there is a positive correlation between environmental degradation and economic growth in Oman, although the EKC only applies up to a particular income level. The findings suggest enacting additional environmental regulations to support sustainable business behavior, raising public understanding of environmental issues, using more clean energy technologies, lowering energy consumption, and reaching the goal of net-zero carbon emissions.

Research target: Economics and Management
Language: English
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Keywords: количественное смягчениеecosystemsгосударственная экологическая политикаарктические экосистемыcarbon dioxide emissionClimate change mitigationARDLARDLEnvironmental policiesвыбросы углекислого газа
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