Modeling the Volume of Industrial Production in Bukhara Region and Forecast Indicators of Prospective Industrial Sectors
DOI:
https://doi.org/10.51699/cajitmf.v7i2.1208Keywords:
Econometric Modeling, Industrial Forecasting, Prospective Industries, Regional Development, Time Series Analysis, Industrial StructureAbstract
In this study, we would like to consider the modeling of industrial production volume, forecasting indicators for perspective sectors in the Bukhara region. Methods of econometric and statistical modeling are used at the core of this research in order to identify key trends, structural changes, and factors driving growth within the regional industrial system. We apply time series, regression models and trend extrapolation techniques based on official regional statistics data. Specific focus is placed on key industries like manufacturing, energy, construction materials and agro-processing sectors. Сemplifying the forecasting results, it becomes possible to evaluate scenarios of the future industrial development and identify the priority sectors with high growth potential. The results of this analysis can be used as an analytical basis for the regional industrial policy approval, investment planning and strategy development for sustainable economic development of the Bukhara region.
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