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News
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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Статистический анализ дифференциации развития территорий на основе оценки эффективности реализованного налогового потенциала (на примере муниципальных образований Тамбовской области)

Вопросы статистики. 2022. Т. 29. № 2. С. 12–22.
Mkhitarian V., Попова Г. Л.

The article discusses directions for improving the methodology of interterritorial differentiation analysis based on the assessment of the effectiveness of the use of tax potential (on the example of the Tambov region). In the introductory part of the article on the basis of official domestic statistics the authors characterize features of the constituent entity of the Russian Federation under consideration. This is necessary for a well-founded interpretation of the results of an interterritorial comparative analysis of the effectiveness of the formation and use of tax revenues – an important component of the municipal budget. The main part sets out methodological principles for calculating the generalizing indicator of the effectiveness of the realized tax potential of municipalities; data from the Federal State Statistics Service and the Federal Tax Service are used as sources of information. Based on the methodology recommended by the authors, an interregional analysis of the effectiveness of the tax potential in 2013 (before sanctions and anti-sanctions measures were introduced in 2014) and 2019 (before the start of the coronavirus pandemic in 2020) was carried out. The paper reveals interregional differences in the dynamics of the gross regional product (GRP), the intensity of structural shifts, the size and changes in tax revenues. The existing differences between the urban and rural areas of the Tambov region are studied in terms of the efficiency of using their tax potentials. Based on the conducted statistical analysis, the authors come to the conclusion that in the ranking according to the generalizing indicator of the efficiency of the realized tax potential of municipalities of the Tambov region, there is a decrease in the positions of cities. At the same time, there is an increase in agricultural production in the region due to the implementation of Russia's food security strategy. In this regard, it is suggested that agriculture will stimulate the development of manufacturing industries in cities, which will result in the improve in their ranking.

Research target: Economics and Management
Language: Russian
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Keywords: statisticsрегиональная экономика, региональная статистика, межрегиональные сравнения, налоговые поступления, налоговый потенциал, эффективность налогового потенциала, городские территории, сельские территории
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