This article examines the relationship between economic growth and environmental sustainability in the context of a green economy. The study is based on the assumption that economic expansion and ecological balance should not be considered as opposing development objectives, but as interdependent components of long-term competitiveness. The research uses comparative analysis, statistical observation and a small-sample OLS regression model to assess the interaction between GDP growth, CO₂ emissions per capita and renewable energy indicators in Uzbekistan. The results show that growth in transition economies can remain connected with environmental pressure when institutional, technological and financial mechanisms of greening are not sufficiently developed. At the same time, the expansion of renewable energy capacity and the strengthening of ESG-oriented governance create opportunities for gradually reducing this dependence. The novelty of the study lies in linking green economy theory with empirical evidence and policy-oriented recommendations for an emerging economy context.

This study analyses historical data (2000–2024) to forecast Uzpromstroybank’s deposit base and total resource trends using simple OLS regression models. A linear time-trend model is estimated for both series to capture long-run growth. The regression results show strong, significant upward trends (high R², statistically significant coefficients) for deposits and resources, indicating robust growth. Forecasts generated by extrapolating these trends suggest continued expansion of the bank’s deposits and resources in the short term. The findings are relevant for bank management and policymakers, as they highlight the trajectory of funding sources in Uzbekistan’s banking sector. Limitations include the simplicity of the linear model and potential structural changes, nonetheless, the results provide a baseline projection and underline the importance of improving deposit mobilization and financial sector reforms.

This article analyzes the stability of currencies, which has become one of the most important financial indicators in recent years. Taking the Uzbek soum as the base currency, the resilience of neighboring countries’ currencies in the exchange market is examined using a comparative method. Based on analyses using the Hill estimator and OLS log-log regression models, significant conclusions have been drawn.