Methodology for developing optimal-system models to improve investment efficiency in regions: evidence from the Kashkadarya region

Abstract

This article improving the efficiency of investment utilization remains a central challenge for regional economic development, particularly in transition economies where structural imbalances, institutional constraints, and uneven capital allocation hinder sustainable growth. This study develops a comprehensive methodological framework for constructing optimal-system models aimed at enhancing investment efficiency at the regional level, using the Kashkadarya region of Uzbekistan as a case study.
The research integrates systems theory, multi-criteria optimization techniques, and econometric modeling to design a structured investment efficiency model. The proposed framework evaluates investment allocation across key sectors based on economic return, employment generation, social impact, and environmental sustainability.
A mathematical optimization model is formulated to determine the optimal distribution of investment resources under budgetary and structural constraints. The study demonstrates that a system-based investment allocation approach significantly improves regional performance indicators compared to traditional allocation mechanisms.
Policy implications suggest the need for institutional coordination, data-driven investment planning, and dynamic monitoring mechanisms. The findings contribute to regional economic modeling literature and provide practical guidance for policymakers in emerging economies.