Publication Details
Abstract
The service sector plays a crucial role in ensuring sustainable regional economic growth, increasing employment, and improving financial stability. Effective assessment and forecasting of financial performance in regional service industries require a reliable empirical database and scientifically grounded econometric tools. This study aims to develop an empirical database for econometric modeling of financial performance in the regional service sector. The research systematizes key financial and economic indicators, including service output, profitability, investment volume, labor productivity, operating costs, and revenue growth. Using statistical and econometric methods, a comprehensive dataset is constructed to support the analysis of relationships between financial performance and its determining factors. The study applies correlation and regression analysis to identify significant variables affecting financial outcomes and to enhance the accuracy of forecasting models. The findings demonstrate that the formation of a structured empirical database improves the reliability of econometric estimations and provides a robust foundation for strategic decision-making in the service sector. The proposed approach contributes to the development of evidence-based policies aimed at strengthening regional competitiveness, increasing investment attractiveness, and ensuring sustainable growth of service industries.