THE ECONOMETRIC AND STATISTICAL ANALYSIS OF THE ECONOMIC DEVELOPMENT OF SURXONDARYO REGION
DOI:
https://doi.org/10.47390/SPR1342V5I9Y2025N08Keywords:
Surxondaryo region, Gross Regional Product (GRP), econometric analysis, statistical analysis, regression model, correlation, agriculture, industry, service sector, oil refining, construction industry, economic development.Abstract
This article analyzes the economic development trends of the Surxondaryo region using econometric and statistical methods. The main focus of the analysis is the region’s Gross Regional Product (GRP), with in-depth examination of its growth rates, descriptive statistics, and key influencing factors. The article presents changes in GRP volume over the period from 2010 to 2024 through statistical tables and graphs. In addition, sectoral correlation analysis and regression models have been constructed. The results of the analysis reveal that agriculture, industry, services, and particularly the coke and oil refining industry have a significant impact on GRP. The construction sector has also been tested as a factor within the regression models. Based on the findings presented in the article, it is concluded that the economy of the Surxondaryo region is developing steadily and consistently.
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