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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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Institutions, Productivity Change and Growth

Ch. 3. P. 29–54.
Andrei Akhremenko, Petrov A., Yureskul E.

In this chapter we aim to consider the interdependence between total factor productivity, economic welfare, and political institutions using BRICS as an empirical example. While relationships between each pair of factors have already been subject to scientific inquiry, we attempt to look at the productivity-institutions nexus in conjunction with economic development. We utilize nonparametric methods (data envelopment analysis) to estimate productivity levels for a large sample of countries and investigate the mutual relationships between productivity, GDP, and institutions for every year in the sample, as well as look into possible connections between dynamics of the three factors. We also analyze productivity trajectories of the BRICS countries in order to gain further insight into how capital-labor ratios might affect further economic development given each country’s institutional context. We show that levels of institutional development are a significant predictor for per capita GDP levels, as well as TFP levels. However, our tests for differences in TFP and growth remain inconclusive.

Language: English
Full text
DOI
Keywords: политические институтыэкономический ростeconomic growthBRICSБРИКСpolitical institutionstotal factor productivityсовокупная производительность факторов производства
Publication based on the results of:
­­­Economic efficiency and the evolution of political regimes: a theoretical model of interdependence, cross-country and dynamical analysis (2017)

In book

Business Cycles in BRICS
Business Cycles in BRICS
Springer, 2019.
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