Strategic Management and Sectoral Performance in The FoodIndustry: A Time-Series Econometric Study Using Elasticity-Based Modeling
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https://doi.org/10.14419/1vmamp02
Received date: May 13, 2025
Accepted date: June 3, 2025
Published date: June 16, 2025
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Econometric Modeling; Food Industry; Production Volume; Elasticity; Consumption Expenditures; Business Development; Strategic Management. -
Abstract
Understanding the factors influencing strategic management in the food industry is vital for effective planning and growth since it plays a direct and vital role in the economy of Uzbekistan. Given the importance of these factors, I will describe research that I have undertaken to assess factors that shape strategic management in Uzbekistan's food industry, using statistical models of national data from 1999 to 2024 inclusive. Using the national data, I developed three econometric models to assess business activity and food production developments in selected key sectors, including meat and dairy. Overall, the research concluded that the number of business registration processes was not significant for estimating the quantity of business, and the formal costs of contract development were only marginally significant (p = 0.0676). In these production models, a negative relationship between population size and meat production was significant, while tax rates had a nonsignificant relationship with meat production (p = 0.1611). The R² values for the food production models were greater than 0.99, indicating goodness of fit , while there is potential for overfitting these models with so few observations (N = 26). The business activity model showed a moderate explanatory power (R² = 0.716). The study emphasizes the need for distinct strategic approaches to individual product segments and that demographic and institutional factors influence food industry performance.
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How to Cite
Umarov, I. Y., Muftaydinov, Q. ., & Sarimsakov, D. K. . (2025). Strategic Management and Sectoral Performance in The FoodIndustry: A Time-Series Econometric Study Using Elasticity-Based Modeling. International Journal of Accounting and Economics Studies, 12(2), 138-146. https://doi.org/10.14419/1vmamp02
