DETERMINING THE FORECAST PARAMETERS OF INDICATORS REPRESENTING AGRO-SERVICES AND THE POSSIBILITIES FOR POVERTY REDUCTION
DOI:
https://doi.org/10.5281/zenodo.21339260Keywords:
agro-services, agriculture, forecast parameters, econometric modeling, statistical analysis, time series, regression model, service efficiency, poverty reduction, household income, employment, rural development, sustainable economic development, innovative technologies.Abstract
This article analyzes the development trends of the main indicators characterizing agro-services
and estimates their forecast parameters using econometric methods. The impact of agro-services on agricultural
productivity, employment, and household income is examined, with particular emphasis on their role in poverty
reduction. Based on the research findings, practical recommendations are developed to reduce poverty in rural
areas through the expansion of agro-services and improvements in their efficiency.
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