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News
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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The Impact of Uncertainty in Economic Policy on the Load Capacity Factors in China and the United States (US): New Evidence from Novel Fourier Bootstrap ARDL Approach

Journal of Sustainability Research. 2025. Vol. 7. No. 1. Article e250002.
Kilinc-Ata N., Camkaya S., Akca M., Topal S.

The body of research on how uncertainty in economic policy affects load capacity factors has expanded quickly in recent years as concerns over the possible detrimental consequences of policy uncertainty on environmental sustainability are growing among scholars and policymakers. In this context, the primary aim of this research is to use annual data from the United States and China collected between 1985 and 2018 to examine the short- and long-term impacts of economic policy uncertainty on the load capacity factor. The study employed the Fourier Autoregressive Distributed Lag method to investigate the long- and shortterm effects of energy intensity and economic growth while the FourierToda-Yamamoto causality approach was utilized to assess the causal relationship between the variables. Findings show that whereas economic policy uncertainty temporarily improves environmental quality in China, it only has a long-term detrimental effect on environmental quality in the United States. Additionally, the findings demonstrate that energy intensity in both nations dramatically lowers environmental quality. Furthermore, there is also a causal relationship between economic policy uncertainty and economic growth in the United States along with economic growth and load capacity factor and energy intensity in China. These unidirectional causal relationships demonstrate the existence of a causal relationship. Effective policies should be developed to enhance environmental quality in China and the United States, taking into consideration the findings.

Research target: Economics and Management
Language: English
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Keywords: Economic policy uncertaintySustainabilityEnvironmental qualityClimate change
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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