MODELING AND FORECASTING THE MAIN INDICATORS IN THE ECONOMIC DEVELOPMENT OF THE TEXTILE INDUSTRY
Keywords:
Investment potential, industrial enterprises, resourcesAbstract
This article presents a comprehensive methodological approach to modeling and forecasting the main indicators of economic development in Uzbekistan’s textile industry. Key determinants such as investment volume, average annual fixed assets, employment, and the number of industrial enterprises are evaluated using a multiple regression model. Correlation and multicollinearity analyses reveal the strength and nature of relationships among the variables, allowing for a deeper understanding of their economic implications. The results show that investment and fixed assets exert a positive influence on textile output, whereas the increase in employment demonstrates a negative relationship, indicating inefficiencies in resource utilization. Forecast scenarios for 2024–2030 suggest continued growth in textile production, capital investment, fixed assets, and employment. The proposed forecasting model provides valuable insights for strategic industrial planning, strengthening investment policies, and enhancing the competitiveness of the textile sector by promoting higher value-added production.
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