This article focuses on analyzing the growth of China's industry during the period from 1992 to 2023 and calculating its forecast for the next 5 years. The aim of the article is to examine the short-term and long-term relationships between China's industrial development and the economic indicators of the selected factors. A quantitative method was applied in the study. To analyze the industry that characterizes economic development and the macroeconomic factors influencing this indicator, econometric time series models were used, including OLS (Ordinary Least Squares) and VAR.
| Mualliflar | Jumaqulov , Samandar, Джумакулов , Самандар, Jumaqulov , Samandar |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashr sanasi | 2025-06-25 |
| Jild | 2 |
| Son | 3 |
| Betlar | 672-688 |
| Til | O‘zbek |
| DOI | 10.60078/3060-4842-2025-vol2-iss3-pp672-688 |
DOI: 10.60078/3060-4842-2025-vol2-iss3-pp672-688 · Maqolaning asl sahifasi
economic development, World Bank methodology, industry, OLS model, VAR model, Dickey-Fuller test, Breusch-Pagan test, Shapiro-Wilk test, Breusch-Godfrey autocorrelation test, Granger causality test, экономическое развитие, методология Всемирного банка, промышленность, модель OLS, модель VAR, тест Дики-Фуллера, тест Бройша-Пагана, тест Шапиро-Уилка, тест автокорреляции Бройша-Годфри, тест причинно-следственной связи Грейнджера, iqtisodiy taraqqiyot, jahon banki metodologiyasi, sanoat, OLS model, VAR model, Dikkey-Fuller testi, Breusch-Pagan testi, Shapiro-wilk testi, Breusch-Godfrey avtokorrelyatsiya testi, Grenjer sabab-oqibat testi
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