Directions for Improving The Methodology of Assessing The Food Market Conjuncture
Abstract
This article examines and enhances the existing methodology for assessing the food market conjuncture, emphasizing the importance of timely and accurate analysis in ensuring food security and market stability. The limitations of current assessment tools—particularly those lacking digital integration and comprehensive indicators—are critically analyzed. To address these gaps, the study introduces a refined methodological system that incorporates an expanded set of indicators and digital technologies such as big data and artificial intelligence. By leveraging statistical and expert-based tools, the research offers practical and theoretical insights for improving forecasting models and regional economic policy. Empirical data from Namangan region form the basis of this study, revealing trends in production, consumption, exports, and pricing. The findings demonstrate the relevance of modernized methodologies for better policy responses, enhanced competitiveness of local products, and more balanced regional development. These insights are crucial for creating a resilient food market system responsive to global and local economic dynamics.
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