REGIONAL INVESTMENT ANALYSIS: A PANEL DATA EVIDENCE FROM UZBEKISTAN

This article study applies benchmarking methods introduced by UNCTAD to analyze the investment potential of Uzbekistan`s regions. The study categorizes regions into four groups based on the FDI Performance and Potential Index values, indicating their performance relative to others. The qualitative analysis reveals front-runner regions with high FDI performance and potential, such as Bukhara and Tashkent city, as well as under performers like Khorezm and Namangan. Additionnaly, the study investigates the correlation between FDI and various independent variables using panel data models, such as fixed effect (FE) and random effect (RE), considering factors such as market size, labor costs and internet access. The results provide valuable insights into the factors influencing  FDI variations across different regions in Uzbekistan. The regression output, including coefficients, t-statistics and significance levels, helps policymakers, investors, and steakholders identify key areas for development and attract foreign direct investment.