Improving the Efficiency of Local Government Decision-Making through Econometric Modeling and Forecasting: The Case of Namangan Region
DOI:
https://doi.org/10.51699/cajitmf.v7i2.1231Keywords:
Local government, decision-making, econometric model, Student’s t-test, Fisher’s F-test, least squares method, coefficient of determination (R²), forecastingAbstract
This study aims to develop econometric models and estimate their parameters to improve the efficiency of decision-making in local government authorities, using the example of the Namangan region. During the research process, socio-economic indicators for the period 2018–2025 were analyzed, including the number of decisions adopted, poverty rate, unemployment rate, number of jobs created, and the level of access to drinking water and wastewater services. In constructing the models, simple and multiple regression analyses, as well as polynomial functions, were applied. The parameters were estimated using the least squares method, and the models were evaluated using Student’s t-test, Fisher’s F-test, and the coefficient of determination (R²) [1,2]. The results of the study show that the efficiency of local governance is closely related to poverty, unemployment, employment, and infrastructure indicators [3]. Based on the developed models, forecast values for 2026–2030 were calculated. This approach contributes to evidence-based decision-making in local government, optimal resource allocation, and the promotion of regional socio-economic development.
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