Сравнительная оценка эффективности развития спорта на региональном уровне на основе метода DEA

Ю. А. Зеленков; Цветков В. А.; Солнцев И. В.

doi:10.17059/2017-4-17

Publications

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Сравнительная оценка эффективности развития спорта на региональном уровне на основе метода DEA

Экономика региона. 2017. Т. 13. № 4. С. 1184–1198.

Zelenkov Y., Цветков В. А., Солнцев И. В.

The article investigates the financial resource management for the development of mass and elite sports at the regional level. The authors used statistical data of the Ministry of Sports that include 28 socio-economic indicators and 39 indicators of sports development in 82 regions for 2012 — 2015. A model of sports development was built using PLS-SEM method. We identified the following latent variables: economic development of the region; funds allocated to sports development; availability of resources; development of mass sports; development level of professional sports; results in elite sports, results in adaptive sports. The level of regional economic development affects the amount of funding allocated to the sports, which in turn determines the availability of resources. Availability of resources affects the success in the development of mass and professional sports. Success in professional sports determines results in great sporting achievements and adaptive sports. Structural modelling allowed us to identify measurable indicators of resources (model inputs) and results of sports development (model outputs). The authors assessed the effectiveness of transformation of inputs into outputs using DEA method. We investigated two models. The first one uses the indicators of mass sports development as outputs, the second one uses the indictors of professional sports development as outputs. The inputs of both models are the indicators of financial resources for sports. The simultaneous review of the effectiveness of two directions allows to emphasize the features of each region and evaluate balance in the development of mass and professional sports. The modelling results allow to identify several groups of regions with similar parameters, which may be due to their similar locations.

Research target: Economics and Management

Priority areas: state and public administration IT and mathematics business informatics

Keywords: quantitative analysis государственное управление спортом DEA метод DEA sport management количественные методы анализа данных

ИТ-отрасль в 2025 году: обзор деловых тенденций

Lola I. S., Asoskov D., [б.и.], 2026.

Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационный обзор, характеризующий деловые тенденции, сложившиеся в отрасли информационных технологий (ИТ-отрасль) в 2025 г. Работа базируется на результатах ежегодного специализированного конъюнктурного мониторинга деловой и цифровой активности около 700 организаций, оказывающих информационно-технологические услуги (код по ОКВЭД 2 – 62, 63). Мониторинг проводился АНО ИИЦ «Статистика России» по заказу ...

Added: May 20, 2026

Индекс экономического настроения (ИЭН ВШЭ) в I квартале 2026 года

Lola I. S., Ostapkovich G. V., Asoskov D. et al., ИСИЭЗ НИУ ВШЭ, 2026.

Центр конъюнктурных исследований Института статистических исследований и экономики знаний Национального исследовательского университета «Высшая школа экономики» подготовил информационно-аналитический материал, характеризующий экономические настроения российских предпринимателей и потребителей в I кв. 2026 г. - «Индекс экономического настроения (ИЭН ВШЭ)». Информационная база мониторинга содержит накопленную за 1998-2026 гг. категориальную статистику «балансов мнений», базирующуюся на ответах респондентов. Такая «мягкая» качественная статистика ...

Added: May 20, 2026

Developing a financial sustainability Index (FSI) for export-oriented manufacturing firms: A panel-based early warning framework

Кумар В., MSW Management 2026 Vol. 36 No. 1s P. 1746–1753

This study explores how profitability, export efficiency, and cost functionality correlated with the financial sustainability index (FSI) for Indian manufacturing companies and the development of the early warning system. The study was conducted on 50 Indian manufacturing companies those participate in the export business, whose data has been collected for the nine quarters from 2023 ...

Added: May 19, 2026

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

The crowd is your ace: Playing FMCG’s internationalization game

Tekic A., Nguen C. M., Business Horizons 2026 Article In Press, Journal Pre-proof

Fast-moving consumer goods (FMCG) firms face intense pressure to internationalize, yet the traditional playbook—lengthy R&D cycles, costly market research, and standardized campaigns—often struggles to deliver local relevance at speed. This article argues that crowdsourcing—digitally mediated, large-scale consumer participation—can complement established internationalization tools by mobilizing local knowledge and community endorsement to mitigate key aspects of the ...

Added: May 19, 2026

Business Creativity and Circular Economy

Ulanov V. L., Springer, 2026.

This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, ...

Added: May 19, 2026

The effect of agglomeration and transport on labour productivity in Saint Petersburg metropolitan area

Semerikova E. V., Салов А. И., The Journal of the New Economic Association 2026 Vol. 1 No. 70 P. 221–237

In this paper, we assess the extent of agglomeration externalities that mirror on labour productivity gains while accounting for the direct and indirect effects of transportation exposure. To this end we combine data on the local average wage and employment with comprehensive information on the public transportation and road networks of the Saint Petersburg Metropolitan Area, one of the ...

Added: May 19, 2026

Impact of the crises on household consumption patterns: An analysis of Russian regions

Voytenkov V., Emerging Markets Review 2026 No. 101482 P. 1–37

This paper examines the effects of the 2008, 2014, and 2020 crises on household consumption patterns in Russian regions. The micro-level analysis is conducted using quarterly data from Rosstat's Household Budget Survey. Dependent variables are expenditure on food at home, out-of-home, alcohol, non-food items, services. Explanatory variables are household characteristics and dummy variables that capture ...

Added: May 18, 2026

Airport resilience to large-scale events: the case of Pulkovo Airport

Lodiagin B., Nazarova V., Rincon C. J., URBAN, PLANNING AND TRANSPORT RESEARCH 2026 Vol. 14 No. 1

This study applies an established social cost–benefit analysis (CBA), combined with sequential shock scenarios (COVID-19 and the post-2022 sanctions) and Monte Carlo sensitivity analysis, to evaluate the welfare robustness and recovery dynamics of the Pulkovo Airport PPP renovation project (St. Petersburg, Russia). Using traffic, operations, and cargo forecasts through 2040, we compare a pre-shock baseline ...

Added: May 17, 2026

Совершенствование методов оптимизации при многих критериях и адаптации выбора к предпочтениям ЛПР

Brodetskiy G., Gerami V., Shidlovskii I. et al., Транспорт: наука, техника, управление 2026 № 3 С. 3–8

В статье предложен специальный метод модификации процедур многокритериальной оптимизации. Он позволяет расширить набор критериев выбора, чтобы учитывать предпочтения лица, принимающего решения (ЛПР) как раз в моделях транспортного обеспечения работы цепей поставок. Реализуется изменение наклона направляющей для линий уровня критерия выбора в пространстве значений частных критериев (с нацеливанием выбора на утопическую точку). Разработаны и представлены требуемые ...

Added: May 17, 2026

Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?

Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112

The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...

Added: May 15, 2026

Предсказательная точность целевых цен акций: сравнение прогнозов аналитиков и машинного обучения

Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50

Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...

Added: May 15, 2026

Determinants of Сonsent to Personal Data Surveillance: Experimental Evidence from Russia

Sizov A., Rodionova M., Sedashov E. et al., / NRU Higher School of Economics. Series PS "Political Science". 2026. No. 1.

Rapid development of surveillance technologies is one of the most socially important consequences of the digital age. This paper investigates the factors determining consent to surveillance of various types of personal data and contributes to rapidly growing research on citizens perceptions of surveillance practices. Relying on a comprehensive survey experiment, we study the effects of ...

Added: May 15, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Ising models on the hydrogen peroxide and other lattices

Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.

We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...

Added: April 20, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Using predefined vector systems to speed up neural network multimillion class classification

Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.

Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...

Added: April 2, 2026

Сфера образования в глазах ЮНЕСКО и конституционной юстиции России

Krasnov M., Труды по интеллектуальной собственности 2026 Т. 56 № 1 С. 8–28

Method of quantitative analysis was used to analyze the array of decisions of the Constitutional Court of the Russian Federation adopted in 1995–2025 in cases in which various issues related to education were considered. In total 209 decisions, resolutions and definitions were identified, which somehow affect Article 43 of the Constitution of the Russian Federation (the right to education). However, only 127 ...

Added: March 24, 2026

Spatial Governance Under Polycrisis: Reconfiguring Agglomeration Policy

Borushkina S., Gorodnichev A., / Elsevier. Серия -- "WPS". 2026.

Agglomeration policy has long been a widely accepted approach in spatial development, premised on the assumption that large, integrated city-regions drive national economic growth through higher productivity, innovation, and global integration. This paper examines how this paradigm is reworked under conditions of polycrisis, understood as a durable state of overlapping and mutually reinforcing economic, geopolitical, and institutional crises. Focusing ...

Added: February 10, 2026

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection

Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...

Added: January 15, 2026

Implementing Transport Coding in OMNeT++ for Message Delay Reduction

Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.

Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...

Added: December 24, 2025

Эффективность рынка искусственного интеллекта: ожидания и реальность

Kuzminov Y., Kruchinskaia E., Форсайт 2025 Т. 19 № 4 С. 6–16

The development of Artificial Intelligence (AI) is significantly impacting the global economy, transforming corporate strategies and enhancing operational efficiency. This study aims to analyze the relative efficiency of the Generative AI (GenAI) market, considering the market size of chips, servers, and data center infrastructure required for its operation, and comparing these market sizes with the ...

Added: December 17, 2025

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.

Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...

Added: December 1, 2025

Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning

Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.

We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...

Added: November 21, 2025