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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Контрсанкции на продовольственном рынке и благосостояние населения России

Экономическая политика. 2024. Т. 19. № 1. С. 30–65.
Скрыпник Д. В., Шаклеина М. В., Zaytsev A.

The article examines the impact of counter-sanctions (agri-food embargo) on the well-being of the Russian population. We use multi-stage methodology of econometric analysis that considers the objective difficulty of obtaining quantitative estimates of counter sanctions impact. Three groups of the population were distinguished in terms of welfare based on the data of the 23-rd wave of the Russian Longitudinal Monitoring Survey: high, medium and low level of welfare.

By estimating the multiple-choice model on the clustered data, we find how the probability of belonging to one of the three welfare groups depends on consumer spending on goods that are subject to counter sanctions. Then the loss of purchasing power (change in real consumer spending) that three population groups experienced as a result of the imposition of counter-sanctions was calculated. In order to do this the estimates of the domestic basic foods’ production elasticities were obtained based on the structural demand-supply system. In addition, the food embargo contribution to the consumer price growth in individual food items in 2014 was evaluated. It was found that the food embargo additionally accelerated the price growth in individual goods by 1,5–22 percentage points.

By combining the estimates of the loss of purchasing power with the multiple-choice model estimates, the decline in the population wealth was assessed. Russian counter sanctions led to a moderate enlargement of the low welfare group by 1,52% or 2,223 million people. At the same time, the decline in the population wealth arises from the reduction of the medium wealth group by 1,16% while the high wealth group reduction is insignificant and equals to 0,36%.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: импортозамещениеpurchasing powerмодель множественного выбораimport substitutionпокупательская способностьmultiple choice modelstructural demand-supply systemструктурная форма уравнений спроса и предложения
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