SCENARIO FORECASTING OF AI-DRIVEN EFFICIENCY IN UZBEKISTAN’S TEXTILE INDUSTRY TO 2030
DOI:
https://doi.org/10.5281/zenodo.23417348Abstract
The thesis presents a three-scenario forecast of Uzbekistan’s textile industry to 2030 based on the degree of artificial intelligence (AI) integration, showing that the accelerated scenario is most closely aligned with the stated sectoral targets.Keywords
artificial intelligence, scenario forecasting, labour productivity, export, textile industry, UzbekistanReferences
Zhang, M., & Huang, M. (2026). Application of Intelligent Financial Management System Based on Artificial Intelligence in Textile and Garment Enterprises. Textile & Leather Review, 9, 1319–1332. https://doi.org/10.31881/
Xu, R., Song, F. M., & Is, A. I. (2025). a Key Driving Force for Chinese Total Factor Productivity Growth? Mechanistic Analysis of Employment, Supply Chain, and Information Asymmetry. Economic Modelling, 150. https://doi.org/10.1016/j.econmod.2025.107126
Results of 2025 in the Textile Industry and Priority Tasks for the Future Are Reviewed [Electronic resource]. (2025). Government Portal of the Republic of Uzbekistan.
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