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Abstract
This article examines the theoretical and methodological foundations for assessing the level of innovative development in crop production. It substantiates the applicability of comprehensive assessment approaches, including the Cobb–Douglas production function, Data Envelopment Analysis (DEA), the Analytic Hierarchy Process (AHP), and a hybrid composite index. The innovative development of 11 districts in Kashkadarya Region is analyzed using indicators such as the share of innovation expenditure, the level of digitalization, crop yields, and the adoption of resource-saving technologies. The AHP method is used to determine the weights of the assessment criteria, while a district ranking is developed based on the hybrid index. The findings demonstrate the potential for identifying territorial disparities in the innovative development of crop production and providing an analytical basis for management decisions aimed at improving the efficiency of innovation resource utilization.
References
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