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ECONOMETRIC AND STATISTICAL ANALYSIS OF STRATEGIC PLANNING EFFICIENCY AND RISKS: EVIDENCE FROM “SANEG CONSTRUCTION” RCC

Shohzod Bobajanov Egamberdi ugli, Feruza Norqobilova Abduhamidovna , Master of Science, PhD in Economics Karshi State Technical University, Department of Business and Management Field: Econometrics and Statistics

Abstract

This study examines the econometric and statistical relationship between strategic planning implementation and enterprise performance in Uzbekistan’s construction industry. Using data from “SANEG Construction” RCC for the period 2022–2024, the research evaluates how planning efficiency influences profitability, cost optimization, and overall resource utilization. An econometric model integrating regression, correlation, and variance analysis is applied to assess the quantitative impact of strategic management practices. The findings demonstrate a statistically significant and positive relationship between structured strategic planning and enterprise performance, while also revealing the moderating role of financial risk.

Keywords

econometrics, strategic planning, regression model, financial risk, efficiency analysis, construction sector, Uzbekistan.

References

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Republic of Uzbekistan. (2024). Uzbekistan Strategy 2030 (Presidential Decree No. PD-37).

World Bank. (2024). Industrial Performance Statistics in Central Asia.

SANEG Construction RCC. (2024). Internal financial and operational performance report, 2022–2024. Unpublished company report. Karshi, Uzbekistan.

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ECONOMETRIC AND STATISTICAL ANALYSIS OF STRATEGIC PLANNING EFFICIENCY AND RISKS: EVIDENCE FROM “SANEG CONSTRUCTION” RCC. (2025). International Journal of Artificial Intelligence, 5(10), 1566-1569. https://www.academicpublishers.org/journals/index.php/ijai/article/view/7176