Аңдатпа
Purpose. By analyzing the relationship between agricultural production, emissions, agricultural employment and local communities, the study aims to highlight the role of agriculture in economic development, as well as provide specific recommendations for policymakers in prioritizing agriculture. Methods. The authors use linear regression as a methodology to establish and identify the relationship between agricultural indicators and GDP growth. The data was taken from various reliable sources, such as the Statistics Agency of the Republic of Kazakhstan and the World Bank. The regression includes both dependent variables (GDP) and independent variables (agricultural activity). Statistical tests are also presented to assess the significance and reliability of the findings. Originality / Value. The article presents new evidence of the dependence of the economy of the Republic of Kazakhstan on the agricultural sector. The uniqueness of the work lies in the identification of the main problems of the agricultural sector and the proposed solutions. The consideration of carbon dioxide emissions and rural employment issues adds a special scientific depth to the study. Findings. The regression analysis identified factors that directly influence the growth of the GDP of the Republic of Kazakhstan. Moreover, the R-square indicates that a significant portion of the variance in the dependent variable can be explained by the selected independent variables, demonstrating the model's effectiveness in identifying the key determinants of agricultural productivity. As observed from the research results, Kazakhstan's agricultural sector requires more attention compared to the industrial sector. This sector is responsible for the growth of GDP and economic productivity, with empirical evidence supporting this. By supporting agrarian policies and investments, it is possible to combat poverty and sustainably develop the rural population.