Econometric Modeling of Agricultural Exports and Economic Growth: A Quantitative Methodology for the Agricultural Sector in Uzbekistan

Abstract

This studies evaluated the impact of agricultural exports on financial increase, while accounting for productivity and support factors. The quantitative studies layout employed a established questionnaire to acquire main records from 300 Uzbek farmers, exporters, agribusinesses, and policy organisations. Data were evaluated with SPSS, encompassing descriptive statistics, reliability assessment (Cronbach's Alpha), correlation analysis, and multiple regression techniques. The model is expressed as EG = β₀ + β₁AE + β₂GS + β₃AP + ε. The evaluation demonstrates excellent internal consistency (Cronbach's Alpha = 0.914) and a sturdy version fit (R² = 0.788, F = 367.251, p < 0.001). All three independent variables exert a positive and significant influence on economic growth, with agricultural exports demonstrating the most substantial effect (β = 0.737, p < 0.001), succeeded by government support (β = 0.130, p = 0.001) and agricultural productivity (β = 0.094, p = 0.020). These findings corroborate the export-led increase speculation and underscore the necessity for strategic policy interventions to bolster Uzbek agricultural exports and economic development.