Performance of Chinas Macroeconomic Indicators in a Regression Model-Based Sales Forecasting

Abstract

The impact of macroeconomic indicators on sales forecasts is a topic worthy of corporate consideration in China. However, previous research on this topic is rarely based on the Chinese context and lacks discussion of specific industry scenarios. In this study, 5 macroeconomic indicators that the Chinese government and people are concerned about are selected and put into the regression model and the AIC model selection criterion to study their performance in sales forecasts of 4 industries in China. It is concluded that under Chinas national conditions, Disposable Income per Capita and National Fixed Asset Investment are two macroeconomic indicators that deserve attention and perform better than other indicators in sales forecasts, and they have hardly been mentioned in previous studies. At the same time, the most appropriate model for sales forecasting in each industry contains different combinations of macroeconomic indicators. It is believed that this result is valuable for companies in various industries, and will be inspiring for subsequent research in the field of sales forecasts.