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The impact of instutional quality on manufacturing sectors: panel data analysis
Economic Systems. 2021. Vol. 45. No. 3. Article 100891.
Alexeev M., Chernyavskiy A.
We use data on Russian regions to examine the effect of institutional quality on institutionally dependent manufacturing sectors in terms of both output levels and growth rates. Unlike the existing literature on this topic, which mostly uses cross-sectional or pooled specifications for either country-level or regional data, we use panel data. This approach allows us to distinguish between short-term and long-term impacts and mitigates endogeneity concerns. As an additional contribution to the literature, we estimate the full marginal effects of institutions on manufacturing sectors with different degrees of institutional dependence. In terms of policy recommendations, our results imply that significant institutional improvements would be needed for the Russian economy to diversify away from heavy reliance on oil and natural gas.
Gaete Sepulveda M. A., Eunsa, 2026.
Toward the Fifth-Generation University (5GU) is a work that proposes a transformative governance framework for institutions of higher education, capable of addressing the challenges of sustainability, digital reflexivity, and co-creation with multiple stakeholders. Drawing on a historical overview from University 1.0—focused on the preservation of knowledge—to University 5.0, the text presents a model centered on ...
Added: August 18, 2026
Lysenok N., International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 17s P. 533–549
This paper asks which families of volatility forecasting models create economic value in active trading, and through which integration channel that value is transmitted. Seven models drawn from four families — econometric (GJR-GARCH, HAR-J), gradient boosting (XGBoost, LightGBM), recurrent neural networks (LSTM, GRU) and a hybrid combining HAR-J with boosting — are compared on the ...
Added: August 18, 2026
Alena Bernyukevich, / Series WP BRP "Basic research program". 2025.
This essay explores the complex issue of determining the appropriate level of risk when implementing innovations within organizations. While innovation is widely recognized as a cornerstone of competitiveness, growth, and sustainability, excessive or poorly managed risk can lead to significant challenges. The discussion highlights key factors influencing acceptable risk levels, including alignment with corporate goals, ...
Added: August 17, 2026
Shaposhnikov S., Asia and Africa today 2025
Digital transformation of small and medium enterprises (SMEs) in India is critical to enhancing competitiveness and improving economic performance. It also helps address unemployment and regional inequality. However, SMEs face financial constraints, a digital skills shortage, resistance to change, and cybersecurity challenges. The authors analyze the impact of government initiatives such as Digital India, CGTMSE, ...
Added: August 14, 2026
Bessonova E., Мякишева С. М., Новиков С. В., Вопросы экономики 2026 № 8 С. 95–124
This paper examines total factor productivity (TFP) dynamics among Russian enterprises from 2018 to 2024, using translogarithmic production function estimates for 290 industries. To address endogeneity and functional dependence issues, we employ the Ackerberg—Caves—Frazer methodology with a control function approach. Our findings reveal distinct sectoral patterns. In mining, both simple average and value-added-weighted TFP rose ...
Added: August 13, 2026
BRICS Journal of Economics 2026 Vol. 7 No. 2 P. 185–209
This study provides an empirical analysis of the relationship between trade and the environment in Singapore. It offers valuable insights into reconciling economic growth and environmental sustainability in this globally significant trade center and contributes significantly to policy formulation for trade-oriented economies. The paper examines empirical trends in trade openness, foreign direct investment (FDI), economic ...
Added: August 13, 2026
Gokhberg L., Kutsenko E., Lebedeva S. et al., М.: ИСИЭЗ ВШЭ, 2025.
This publication prepared by the Russian Cluster Observatory of the National Research University Higher School of Economics Institute for Statistical Studies and Economics of Knowledge is a followup of the 2021 publication dedicated to the statistical measurement of the creative economy of Moscow.
It provides the basic economic indicators of Moscow’s creative industries, assessment of the ...
Added: August 13, 2026
Evgeniia K., Cardoni A., Makeeva E. Y. et al., Business Strategy and the Environment 2026 P. 1–17
This study investigates the relevance of sustainable governance (SG) and its impactful elements in the context of the Russian market, a unique case of an isolated economy, using market value as a proxy for concept relevance. Adopting stakeholder and institutional approaches, this study uses panel data from 152 firms listed on the Moscow Exchange from ...
Added: August 12, 2026
Saraev V., Medovnikov D., Розмирович С. Д. et al., М.: Иннопрактика, 2020.
This report presents a brief summary of the results of a study devoted to the analysis of innovation practices in large Russian companies, their comparison with the most successful international experience, and the identification of opportunities to improve the effectiveness of innovation development tools. ...
Added: August 11, 2026
Rozhkova K., Roshchin S., Roshchina Y., Вопросы экономики 2026 № 8 С. 29–54
Стремительное развитие генеративного искусственного интеллекта (генИИ) усилило дискуссии о том, как новые технологии трансформируют рынок труда, особенно позиции и задачи, которые еще недавно мог выполнять только человек. Эксперименты показывают, что генеративный ИИ может обеспечить значительный прирост производительности, особенно менее квалифицированных сотрудников, что может приводить к возникновению индивидуальной зарплатной отдачи на рынке труда. Впервые для России ...
Added: August 11, 2026
Puchkov E., Knyaginina N., М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The report examines the ecosystem supporting the development of social entrepreneurship in Europe. It considers the historical evolution of the sector, the approaches adopted by the European Union and individual countries to defining and recognising social enterprises, and the differences between European and Russian models. Particular attention is paid to the role of social enterprises ...
Added: August 11, 2026
Междуреченск: Кузбасский государственный технический университет им. Т.Ф. Горбачева, 2026.
В сборнике представлены материалы докладов по направлениям Международной научно-практической конференции «Современные тенденции и инновации в науке и производстве»: 1. Технологии и инновации в горной промышленности; 2. Экономика, управление, финансы; 3. Информационные системы и технологии; 4. Юный исследователь. Целью этой конференции является обмен передовым опытом, повышения квалификации их участников и, вместе с тем, это способ установления и укрепления научного сотрудничества среди ...
Added: August 11, 2026
Fedyunina A., Drapkin I. M., Simachev Y. V., Area Development and Policy 2026
Trade sanctions generate asymmetric shocks in developing economies, reshaping their integration into global value chains (GVCs). Using a gravity framework covering 68 developing countries over the period 2000–2021, this paper examines how sanctions affect forward and backward GVC linkages. We find that sanctions significantly reduce both dimensions of GVC participation: backward linkages suffer deeper and ...
Added: August 10, 2026
Bereznoy A., Мировая экономика и международные отношения 2026 Т. 70 № 8 С. 16–26
Facing the growing uncertainty of the current global business environment leading multinationals are increasingly turning to strategic foresight (SF) which becomes the integral component of their corporate strategic management systems. The distinctive feature of SF is related to the recognition of multiple futures and the abilities of major market players to influence the occurrence of ...
Added: August 10, 2026
Potanin B., Statistics and Computing 2026 Vol. 36 Article 200
We propose double machine learning (DML) estimators for a partially linear model (PLM) with endogenous treatments and multivariate sample selection. We prove asymptotic normality of the estimators under mild regularity conditions and study finite sample properties on simulated data. The results demonstrate the importance of addressing sample selection in PLMs and the usefulness of the ...
Added: August 8, 2026
Papushina I. O., Shenkman E., Социологические исследования 2026 № 7 С. 31–43
The external shocks of 2022 have altered the operating environment for Russian
companies and the demand for skilled workers. This study examines how demand has responded for
different categories of professionals in the fashion industry, where the departure of international brands
has simultaneously increased uncertainty and opened up market niches for Russian manufacturers.
The empirical basis of the research ...
Added: August 7, 2026
Zaiane S., Berrich O., Dabbou H. et al., International Journal of Energy Sector Management 2026
Added: June 10, 2026
Ibragimov R., Kattuman P., Skrobotov A., Econometric Reviews 2025 Vol. 44 No. 4 P. 384–415
Empirical analyses of income and wealth inequality often face the difficulty that the observations are heterogeneous, heavy-tailed, or correlated in some unknown fashion. This article focuses on applications of the recently developed computationally simple t-statistic based robust inference approach to the analysis of inequality. Two regions can be compared in terms of inequality as follows: the ...
Added: October 30, 2025
Zvereva V., Demidova O., Коршунов Д. А. et al., Деньги и кредит 2024 Т. 83 № 1 С. 3–31
This paper considers the impact of inequality on the operation of the three channels of the monetary policy transmission mechanism (the interest rate, credit, and exchange rate channels) and, accordingly, on the Bank of Russia’s ability to manage aggregate demand. It uses a sample of quarterly panel data for the period from 2012 to 2019 ...
Added: March 28, 2024
Dezhina I., , in: Russian Economy in 2022. Trends and OutlooksIssue 44.: M.: Gaidar Institute Publishers, 2023. Ch. 5 P. 395–422.
Sanctions were the main factor influencing the sphere of science and innovation in 2022. Quick measures to solve the issues that arose were developed only to a certain extent. The first priority steps were made in such areas of science policy as changing the composition of reporting and accounting indicators and revising the partners and ...
Added: December 1, 2023
Третьяков Д. С., Rozmainsky I. V., Russian Journal of Economics 2021 Vol. 7 No. 3 P. 233–249
This paper tries to estimate the impact of financialization on fixed investment in Russia. The work is carried out by using panel data based on reports of non-financial publicly listed companies for 1999–2019. The study finds that financial expenses aimed at paying interest on external financing and paying dividends — that is, focusing on shareholder ...
Added: December 3, 2021
М.: Экономический факультет МГУ им. М.В. Ломоносова, 2018.
The collection contains in abbreviation texts of speeches of participants of the interdisciplinary scientific conference “A. I. Chuprov is the great son of Russia. ” Conference materials are grouped into sections in accordance with its program: topics of the plenary session, sections and round table ...
Added: October 12, 2018
Marques II I., / NRU Higher School of Economics. Series PS "Political Science". 2017. No. WP BRP 56/PS/2017.
How do political connections shape the propensity of firms to make investments in weakly institutionalized settings? Traditionally, absent ways to hold the state accountable, firms should withhold investment for fear of predation. An emerging body of work on the political economy of investment has highlighted the competitive advantages that direct political connections with officials can ...
Added: January 18, 2018
Живайкина А. Д., Peresetsky A., Журнал Новой экономической ассоциации 2017 Т. 4 № 36 С. 49–80
We consider 11 credit ratings of Russian banks, assigned by international and Russian rating agencies during 2012—2016. Econometric models of these ratings designed on the public information reveal difference in the approaches of the rating agencies to the Russian bank ratings. We also design econometric models of the Russian bank defaults, where we consider default ...
Added: January 12, 2018