Prediction of GDP in the BRICS Countries Based on the Proportions of Industry and Agriculture

In the realm of gross domestic product(GDP) research, the multiple regression model has garnered significant academic attention due to its ability to comprehensively consider various factors and its exceptional predictive performance. This study explores multidimensional GDP-related data and introduces a novel model to explain GDP, focusing on its relationship with the proportion of a country's industrial and agricultural output. To analyze the interaction between a nation's economic condition and its economic structure, we employ both static and dynamic research methods. We first decompose GDP into four components and select five countries with similar economic development stages for our analysis. We then use GDP as a measure of economic growth and conduct an in-depth analysis by creating scatter plots illustrating the relationship between the proportion of agriculture and industry in GDP. Finally, we construct a multivariate nonlinear regression model to examine the relationship between GDP and the proportion of industrial and agricultural output. The research findings reveal that our proposed GDP-industrial and agricultural proportion model has undergone rigorous significance testing and demonstrates strong explanatory capability.