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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Процессный подход к оценке технологической конвергенции регионов России: динамика инновационного разрыва

Вопросы экономики. 2025. № 5. С. 130–152.
Ataeva A., Климентьева А. Ю.

The regional innovation subsystem is considered an integral part of
the broader regional socio-economic system, influencing and being influenced
by the production, social, ecological, and other subsystems. A process-based
approach to assessing the technological gap is proposed, viewing innovation
activity as a set of interrelated stages, from resource base formation to the generation
of specific outcomes such as new products, processes, and services.
The assessment of the technological gap in regional innovation subsystems is
suggested to be conducted through an analysis of resource factors and outcomes
of technological development. Convergence assessment methods are employed
to identify technological gaps among Russian regions, allowing for the detection
of convergence or divergence in regional technological development levels.
The study reveals that technological β-convergence was not consistently observed
throughout the analyzed period. Signs of technological divergence were identified
during 2000—2008 and 2009—2013. However, during 2014—2018 and
2019—2022, signs of β-convergence emerged. The shift from negative to positive
convergence after 2014 coincides with substantial changes in state innovation
policy, including policies on import substitution, the initiation of the National
Technology Initiative, and the implementation of national projects. The results
of β-convergence evaluation, taking into account resource indicators, demonstrate
a significant impact of these factors on the nature and pace of technological
convergence. The findings have substantial practical implications for shaping
public policy aimed at reducing technological disparities among Russian regions.
Differentiated strategies for innovation development must be devised for various
regional groups: regions experiencing persistent divergence require priority
support measures and resource concentration to overcome institutional barriers;
regions with unstable convergence need stabilization of conditions for innovative
activities; leading regions should focus on supporting mechanisms for technology
diffusion into other regions.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: инновациипроцессный подходinnovationstechnological gapprocess approachregional innovation subsystemconvergence of Russian regionsрегиональная инновационная подсистематехнологический разрывконвергенция регионов России
Publication based on the results of:
Citizen-state interaction in the context of digital transformation: Political, psychological, and managerial factors and barriers (2025)
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