Abstract:
The research focuses on evaluating investment performance within Surkhandarya's regional industry sector along with its factors which promote industrial enterprise development and sustainability. The study establishes an essential position for investment efforts because they drive economic stability alongside employment growth and technological development. Research shows a considerable lack of information about how efficient investments impact enterprise numbers in regional economic settings. The research implements correlation and regression analysis through econometric modeling with statistical data spanning from 2010 until 2023. The research shows clear positive relations between investment amounts and the growth of industrial enterprises because every 1% investment growth results in 0.63% industrial enterprise expansion. A 1% increase in the labor force leads to additional 0.42% participation in the workforce according to study findings. The research findings demonstrate how investments focused on underdeveloped areas especially agriculture sector development projects lead to improved regional economic diversification. The research demonstrates that investment optimization through strategic distribution improves industrial development and requires data-based decision-making. Data-driven policy-making together with improved infrastructure and innovation-based funding and balanced sectoral funding must be used to enhance regional development and economic policies and investment management. The field requires more research into specific industrial investment effects together with improved econometrics to better capture external economic influences for complete understanding about regional industrial development investments.
Highlights:
- Investment drives economic stability, employment, and industrial growth.
- Econometric analysis shows positive investment impact on enterprise expansion.
- Strategic, data-driven policies enhance regional industrial development.
Key words: Regional industrial sector, GRP, investment efficiency, comparative models, investment factors
References
X. Sala-i-Martin, “Inequality, Poverty, and Growth: The World Bank's World Development Report,” Poverty Reduction and Economic Management Network, 1997.
P. M. Romer, “Endogenous Technological Change,” The Journal of Political Economy, vol. 98, no. 5, Part 2, pp. S71-S102, Oct. 1990.
W. Kenton, "Return on Total Assets - Definition of ROTA," Investment, Financial Analysis, 2019.
J. Martin, R. O'Brien, and H. Proctor, "Experimental Estimates of Investments in Intangible Assets in the UK," Office for National Statistics, 2015.
J. King, "Purchasing Industrial Equipment: Calculating Return on Investment (ROI)," CanadaOne Online Magazine, 2017. Available: https://www.canadaone.com/topics/money/purchasing-industrial-equipment-calculating-thereturn-on-investment.html.
S. Bragg, "Investment Return," AccountingTools Online Magazine, Apr. 03, 2018. Available: https://www.accountingtools.com/articles/return-on-investment.html.
N. B. Kornyukhina, "Investments in Fixed Capital as a Factor of Economic Growth in Russia," Doctoral dissertation, Moscow, Russia, 2001.
N. V. Spasskaya, "Model of the impact of investments in fixed capital of small enterprises on the gross regional product indicator (on the example of the Orel region)," Economics and Management, Orel, pp. 1-30.
A. V. Bezborodova, "Econometric models for the analysis of investments in fixed capital," Economic Research Institute of the Ministry of Economy of the Republic of Belarus, Minsk, Belarus.
Surkhandarya Region Department of Statistics, "National Accounts," Official Statistics of Uzbekistan, Available: https://surxonstat.uz/uz/rasmiy-statistika/national-accounts-2.
T. D. Makhmudov, "Improving the optimal regulatory mechanism for attracting investments to the regional economy (on the example of the Surkhondarya region)," Doctoral dissertation, Econometrics and Statistics, 2024.
S. Z. Soatmurodov, "Econometric models of the development of regional industrial sectors (on the example of Surkhandarya region)," Doctoral dissertation, Econometrics and Statistics, 2024.
F. D. Hodzhikulova, "Forecasting the volume of investments in industrial enterprises of Surkhandarya region using the ARIMA model," Economy and Society, no. 12(127), 2024.
A. A. Makarov, A. A. Tambovtseva, and N. A. Vasilyonok, "Correlation coefficients," Mathematics and Statistics, Part 2, National University of Higher School of Economics, 2019-20.
Surkhandarya Region Department of Investment, Industry, and Trade, "Investment and Trade Data Analysis," 2024.