This article analyzes the development trends of the chemical industry in the Republic of Uzbekistan, the dynamics of production volumes, and the possibilities of modeling this process. The study empirically evaluates the elasticity of production volume in relation to investment and employment levels based on the Cobb–Douglas production function. A classical linear regression model was constructed using statistical data from 2010 to 2023, and analyses were conducted in the Stata software. Regression results indicate that the growth in production volume is more closely associated with the increase in labor resources. Additionally, forecast values for 2024–2028 were calculated using an autoregressive (AR) model, demonstrating a steady growth in chemical product output. The results of the study hold significant practical importance for strategic management of the chemical industry and for shaping investment policy.
| Mualliflar | Sharipova , Saodat, Шарипова , Саодат, Sharipova , Saodat |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashriyot | Тошкент давлат иқтисодиёт университети ҳузуридаги «Ўзбекистон иқтисодиётини ривожлантиришнинг илмий асослари ва муаммолари» илмий-тадқиқот маркази |
| ISSN | 1994-2025 |
| Nashr sanasi | 2025-07-08 |
| Jild | 2 |
| Son | 3 |
| Betlar | 940-947 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.60078/3060-4842-2025-vol2-iss3-pp940-947 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.60078/3060-4842-2025-vol2-iss3-pp940-947 · Maqolaning asl sahifasi
chemical industry, production volume, Cobb–Douglas function, regression analysis, AR model, investment, labor resources, economic modeling, forecasting, химическая промышленность, объем производства, функция Кобба–Дугласа, регрессионный анализ, AR-модель, инвестиции, трудовые ресурсы, экономическое моделирование, прогнозирование, kimyo sanoati, ishlab chiqarish hajmi, Cobb–Douglas funksiyasi, regressiya tahlili, AR modeli, investitsiya, mehnat resurslari, iqtisodiy modellashtirish, prognozlash
| APA | Sharipova , Saodat, Шарипова , Саодат, & Sharipova , Saodat (2025). ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY. Илғор иқтисодиёт ва педагогик технологиялар, 2(3), 940-947. https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp940-947 |
|---|---|
| GOST (OAK) | Sharipova , Saodat, Шарипова , Саодат, Sharipova , Saodat ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY // Илғор иқтисодиёт ва педагогик технологиялар. – 2025. – T. 2, № 3. – P. 940-947. – DOI: 10.60078/3060-4842-2025-vol2-iss3-pp940-947. |
| MLA | Sharipova , Saodat, Шарипова , Саодат, and Sharipova , Saodat. “ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY.” Илғор иқтисодиёт ва педагогик технологиялар, 2(3), 940-947, 2025. https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp940-947 |
| Chicago | Sharipova , Saodat, Шарипова , Саодат, and Sharipova , Saodat. “ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY.” Илғор иқтисодиёт ва педагогик технологиялар, 2(3), 940-947 (2025). https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp940-947 |
| Harvard | Sharipova , Saodat, Шарипова , Саодат, and Sharipova , Saodat (2025) ‘ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY’, Илғор иқтисодиёт ва педагогик технологиялар, 2(3), 940-947. https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp940-947 |
| BibTeX | @article{sharipovasaodat2025,
title = {ANALYSIS OF MODELING AND FORECASTING PRODUCTION VOLUMES IN THE CHEMICAL INDUSTRY},
author = {Sharipova , Saodat and Шарипова , Саодат and Sharipova , Saodat},
journal = {Илғор иқтисодиёт ва педагогик технологиялар},
year = {2025},
volume = {2},
number = {3},
pages = {940-947},
doi = {10.60078/3060-4842-2025-vol2-iss3-pp940-947},
url = {https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp940-947}
} |
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