Empirical Analysis of Financial Stability of Agro-Clusters in Uzbekistan

Dildora Yuldasheva

This study examines the financial stability of agro-clusters with a focus on identifying key determinants that influence long-term asset growth and overall economic sustainability. Using cross-sectional data, the research applies an Ordinary Least Squares (OLS) regression model to analyze the impact of workers, depreciation coefficient, validity coefficient, and current assets on long-term assets. The empirical results reveal that labor capacity, liquidity, and operational efficiency have a positive and statistically significant effect on financial stability, while the depreciation coefficient shows a negative but insignificant relationship. Diagnostic tests confirm the reliability and robustness of the model, including normality of residuals and absence of heteroscedasticity. The findings highlight the importance of efficient resource management, access to financial capital, and effective asset utilization in strengthening agro-cluster performance. From a policy perspective, the study suggests that improving workforce productivity, enhancing financial accessibility, and promoting modern management practices are essential for achieving sustainable growth in the agricultural sector. The results contribute to the existing literature by providing empirical evidence on the financial dynamics of agro-clusters, particularly in the context of developing economies such as Uzbekistan.

Doi: https://doi.org/10.54216/JIER.040101

Vol. 4 Issue. 1 PP. 01-07, (2026)