Diagnosis of Sustainable Economic Development in China Based on Statistical Analysis Methods

The article presents the results of diagnosing the sustainable economic development of China through the application of correlation-regression analysis. The methodology proposed by the authors encompasses five stages: defining objectives, data collection and preparation, performing correlation and regression analysis, interpreting results, and assessing economic sustainability. The aim of diagnosing the sustainable development of the national economy is to identify optimal management strategies and facilitate informed economic decisions under conditions of limited resources. The indicators of sustainability utilized in this analysis consist of static indicators spanning the years 2010 to 2022, identified based on the sustainable development model formulated by the International Commission on Environment and Development. In accordance with the criteria of correlation-regression analysis, 23 single-factor linear regression models were selected. Elasticity coefficients were calculated to assess the impact of the factor on the stability of the economy. Based on the results of the analysis, two distinct groups of factors were delineated: those that strengthen and those that undermine the sustainability of China’s economy. Moreover, measures for optimizing sustainable development strategies are proposed, aimed at strengthening the resilience and adaptive capacity of the economic system in the face of evolving challenges.