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Статистический анализ конвергенции экономических систем стран ЕАЭС
Гл. 16. С. 242–258.
Е.Д. Копнова, Хабирзянова А. Ф.
On the base of Eurasian Economic Union data from 2006 to 2018, we analyzed σ- and conditional β-convergence in the economic growth rates of the EAEU members and trade flows between them to study the leveling of development of the economic systems. Econometric tools including spatial autocorrelation methods and the gravitational model of international trade were used. The presence of convergence was detected, its rate and the main determinants were revealed. As our results show, the influence of geographical distances between countries on the intensity of trade relations is insignificant. The forecast of economic growth rates for 2020 was constructed.
Demidova O., Kazakova S., Applied Economics 2026 P. 1–14
This paper examines the nonlinear relationship between inflation and economic growth across Russian regions, contributing to the literature on the inflation-growth nexus by using subnational evidence from a large and economically heterogeneous country. Using panel data for 83 regions over the period 2015–2023, we estimate fixed-effects models with a quadratic specification of inflation. The growth-maximizing ...
Added: October 3, 2026
Kilinc-Ata N., Proskuryakova L. N., Natural Resources Forum 2026 P. 1–18
The convergence of energy transition and digitalization represents two pivotal trends in the global economy that complement each other. The decrease in carbon dioxide (CO2) emissions is facilitated by larger Internet access and more substantial investments in research and development. This study sheds light on the dual impact of digitalization and innovation on CO2 emissions ...
Added: September 25, 2026
Li C., Tiwari S., Kazemzadeh E. et al., Sustainable Development 2026 Vol. 34 No. 5 P. 7109–7139
The transition to renewable energy is a cornerstone of sustainable development, yet it faces significant challenges. Key barriers include grid integration issues, technological immaturity, high initial costs, and policy and regulatory uncertainty. However, overcoming these hurdles offers substantial rewards, including new economic opportunities, lower energy costs, accelerated technological innovation, and more inclusive growth—ultimately paving the ...
Added: September 23, 2026
Минасян К. Х., Вестник Воронежского государственного университета. Серия: Право 2026 № 2 С. 322–332
Abstract: this article examines the relationship between the international obligations of states arising from their participation in the mechanisms of the Financial Action Task Force (FATF) and the obliga- tions of the member states of the Eurasian Economic Union (EAEU). While formally retaining a non-binding character, the FATF Recommendations in practice define a common external framework ...
Added: September 1, 2026
Bukina T. V., В кн.: Кафедра социально-экономической географии: семь десятилетий развития.: Пермь: Пермский государственный национальный исследовательский университет, 2025. Гл. 5 С. 57–79.
Each region is characterized by unique development features that shape the future of its economy. The level of economic development of a region is determined by various conditions, such as the availability of natural resources, the availability of production facilities, the development of institutions and the social sphere, infrastructural security, and many others. Therefore, when ...
Added: August 3, 2026
Vorchik A., / SSRN. Серия Social Science Research Network "Social Science Research Network". 2026.
This work is devoted to a theoretical explanation of the Easterlin paradox, according to which long-term economic growth does not make average level of people's happiness increasing. By happiness, we mean the intensity of emotions people experience while comparing their new income with its expected value, or the target income with its original value. In the first case, ...
Added: May 31, 2026
Lola I. S., Asoskov D., Экономический журнал Высшей школы экономики 2026 Т. 30 № 2 С. 344–376
The article analyzes the transformation of China's economic growth mechanisms in the period after Xi Jinping came to power, with a focus on interprovincial heterogeneity. Based on panel data for 29 provinces of China for 2001-2024, the Bayesian hierarchical regression model is estimated, which makes it possible to identify both average (fixed) and provincial-specific (random ...
Added: May 26, 2026
Майхрович М. Я., Вестник Московского университета. Серия 6: Экономика 2025 Т. 60 № 5 С. 178–208
Macroeconomic instability in the period of 2020–2024 has revived discussions about its impact on economic convergence processes and methods for assessing the convergence of developing and developed countries. This paper presents a systematic analysis of modern econometric approaches and existing limitations in testing the convergence hypothesis. The methodological framework is based on classical Solow economic ...
Added: April 29, 2026
Майхрович М. Я., Современная мировая экономика 2023 Т. 1 № 4 С. 48–71
The catch-up effect has always been a pressing issue in economics: are developing countries truly catching up with technologically advanced countries, and is the economic gap between rich and poor countries narrowing over the long term? This article aims to test the hypothesis of economic convergence across countries, a key research issue in the field ...
Added: April 29, 2026
Али Имран, Олалекан О. О., Джонас А., International Organisations Research Journal 2025 Vol. 20 No. 3 P. 147–170
This paper examines the long-term and short-term relationships between economic growth, trade, industrialization, renewable energy consumption, and environmental degradation (CO2 emissions) in Bangladesh, India, and Pakistan from 1990 to 2022 using a panel autoregressive distributed lag (ARDL) approach. The study employs correlation analysis, panel cointegration tests, and pooled ARDL to capture the dynamic interactions among ...
Added: March 26, 2026
Spankulova L., Besstremyannaya G., Zhumartova B., Journal of Mathematics, Mechanics and Computer Science 2026 Vol. 129 No. 1 P. 97–113
The article focuses on spatial economic development and regional inequality in the Republic of Kazakhstan, with an emphasis on the factors and policy conditions that create disparities between regions. The empirical analysis is based on a panel of 16 Kazakhstani regions for 2001-2017 (272 observations). The dependent variable is the logarithm of GRP per capita. ...
Added: March 22, 2026