Forecasting socio-economic development indicators plays a crucial role in modern economics and social spheres. This process is utilized by governments, businesses, and international organizations to develop long-term strategies, allocate resources efficiently, and reduce social inequality. The present research examines theoretical and methodological aspects of forecasting socio-economic development indicators.

The article substantiates a territorially-oriented mechanism for financing innovation activity based on targeted deductions of enterprises from the corporate profit tax. The relevance of the study stems from the high territorial concentration of the innovation potential of the Republic of Uzbekistan in the capital region against the background of low innovation activity of enterprises in the regions. The author proposes the formation of local territorial innovation funds at the district level through the redistribution of 1 % of the enterprises' profit tax without increasing the aggregate tax burden. Based on official statistics on 12,239 enterprises of the Syrdarya region, the potential volume of the funds is estimated by districts and economic sectors. The procedures of fund formation, governance and allocation are described; the model is compared with international analogues (Hungary, Brazil, the USA) and with the cluster model of innovation development; advantages, risks and ways to mitigate them are assessed

This article analyzes the effectiveness of the Tourism Support Fund in Uzbekistan, evaluating its impact on economic growth and income inequality. Using official data from 2017 to 2023, the study applies regression analysis and the Kuznets hypothesis model. The findings reveal that the Fund plays a significant role in developing tourism infrastructure, enhancing regional equality, and increasing employment. Based on international experience, practical recommendations are provided to improve the strategic performance of the Fund.

This research explores the relationship between digitalization and its economic impact on household finances in Uzbekistan. The study's objective is to determine how technological advancements, particularly in ICT (Information and Communication Technology), influence financial behavior and market dynamics within Uzbekistan households. The research employs a quantitative approach, using a Tobit regression model to analyze data collected from various national databases, including Uzstat and the Global Innovation Index. The study focuses on variables such as the ICT index, government readiness for ICT integration, and the rate of automation, represented by the number of robots per 10,000 workers. Data was collected over a span of ten years, from 2011 to 2021, and analyzed to identify significant correlations between these variables and household savings rates. The findings suggest a positive correlation between the ICT index and labor market indices, indicating that as digitalization advances, the labor market and household incomes experience growth.