ECONOMETRIC MODELS OF FOOD INDUSTRY DEVELOPMENT IN THE AGRO-CLUSTER SYSTEM
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Agro-clusters represent integrated spatial networks that enhance agricultural efficiency and regional growth through production, processing, and marketing synergies. This article reviews key econometric models—including production frontiers, SFA/DEA, spatial autoregression, causal inference, and CGE—for evaluating TFP, spillovers, and optimization. Standardized variables like locational entropy and inputs/outputs are examined, alongside mechanisms such as agglomeration and technology diffusion. Empirical evidence highlights 12-20% TFP gains in clusters, with policy implications for developing economies like Uzbekistan. Limitations and future integrations with machine learning are discussed.
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Zenodo创建时间：
2026-03-11
