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METHODS OF ASSESSMENT OF FOREIGN DIRECT INVESTMENT DETERMINANTS: A REVIEW BASED ON METHODS
Husniddin Madumarov

This article critically reviews the main methods used to analyze the determinants of foreign direct investment (FDI), focusing on panel data regression, gravity models, generalized method of moments (GMM), and qualitative-comparative analysis (QCA). For each method, we synthesize findings from major empirical studies to understand how specific economic, institutional, and policy variables influence FDI inflows. The study reveals that methodological choice significantly affects the magnitude and even direction of FDI determinants, underscoring the importance of mixed approaches in policy research.

06/20/2025
  • PDF (Uzbek)
543-551 146 50
ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES
Said Khudoykulov

The rapid development of digital technologies has changed the way data is collected, stored, and analyzed. Big Data has created new opportunities and challenges for econometric research. This article discusses the integration of econometric methods with big data analysis, the methodological innovations needed, and the results of empirical economic research. The study also highlights modern tools and ideas that help econometricians manage the complexity and scale of large data sets while maintaining model accuracy and interpretability. It also highlights how the combination of traditional econometric thinking and computational methods can improve the quality and scope of economic analysis in the modern digital economy

11/04/2025
  • PDF (Uzbek)
840-843 93 56
THE RELATIVE VALUE OF CONSISTENCY IN TEAM MANAGEMENT COMPARED TO QUALITY – EVIDENCE FROM IMAN INVEST FINTECH
Dilshod Akhmadkulov

This study analyzes the interrelationship between consistency and quality in team performance and their impact on efficiency. The research is based on empirical data from the “Iman Invest Fintech” company, in which the daily activities of teams, the stability of results, and service quality indicators were examined in depth. The main focus is on identifying the role of consistency (stability, adherence to processes, and repeatability of results) in overall performance. The results indicate that for teams, the ability to consistently deliver stable outcomes is, in some cases, more important than achieving high but inconsistent quality results. Consistency strengthens collaboration within the team, reduces errors, and improves predictability, which in turn enhances overall efficiency. The study employs regression and panel analysis methods to evaluate the relative impact of consistency and quality. In addition, although diminishing marginal returns of consistency were identified, it still remains a significant factor. In conclusion, developing consistency as a priority direction for fintech teams is considered an effective strategy for improving efficiency

04/03/2026
  • PDF (Uzbek)
176-182 57 36
THE SIGNIFICANCE OF DIGITAL TRANSFORMATION IN REDUCING DISPARITIES IN REGIONAL ECONOMIC DEVELOPMENT
Temur Egamov

This article examines the significance of digital transformation in reducing disparities in regional economic development. The introduction highlights the relevance of the issue and contemporary trends, while the literature review analyzes a number of scientific articles from recent years. The methodology encompasses a systematic literature review (SLR) based on PRISMA guidelines and empirical modeling (panel regression, GMM, threshold models). The results demonstrate the positive impact of digital transformation on mitigating regional imbalances (e.g., stimulating GDP growth with a coefficient of 0.59), but reveal a U-shaped effect (turning point at 0.358) and infrastructure deficiencies. The conclusion emphasizes the potential of digital technologies, contingent upon policy measures and inclusivity, and provides policy, practical, and research recommendations.

08/20/2025
  • PDF (Uzbek)
445-450 99 69
AN EMPIRICAL ANALYSIS OF THE IMPACT OF ICT AND EXPORT DIVERSIFICATION ON INCOME INEQUALITY
Gavkhar Sultanova

This paper aims to study the relationship between ICT development, export diversification, and income inequality. The study is based on the analysis of data for 83 countries from 2002 to 2019 using the panel quantile regression method. The results of the analysis indicate that ICT has a negative impact on the level of income inequality, and this effect is more pronounced in countries with a high Gini coefficient. Export diversification also contributes to a more equal income distribution, and this effect is more pronounced in countries with low and medium levels of inequality. Moreover, the interaction of the ICT index with the export concentration index has a negative effect on income inequality, and the effect is stronger at the upper quantiles of the distribution. Accordingly, countries with high income inequality should pay special attention to the digitalization of the economy and strengthening export diversification.

04/04/2025
  • PDF (Russian)
163-180 167 51
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