Publication Details
Abstract
Combining agro-industrial clusters has a major effect on socioeconomic development by utilizing local advantages and tackling issues related to food security. In order to uncover a knowledge gap in the effective integration of cluster-based development methods, this study focuses on the Kashkadarya region, which is distinguished by its preponderance of agricultural GDP contribu-tion. To maximize productivity and improve regional food security, we examined multi-factor empirical models using sophisticated modeling and forecasting techniques. Agro-industrial clustering raised income levels, increased employment, and enhanced productivity, according to the results. Sustainable development and resource efficiency were aided by innovations such as garbage recycling and water-saving irrigation. With its scalable strategy to address food security and promote economic and environmental sustainability, our findings highlight clustering as a key mechanism for furthering agro-tourism, infrastructural, and socioeconomic progress.