Affiliations: [a]
Postdoctoral Research Station of Zhongnan University of Economics and Law, Wuhan, Hubei, China
| [b]
Wuhan New Opto Electronic Information Technology Co., Ltd, Wuhan, Hubei, China
| [c] ChangJiang Polytechnic, Wuhan, Hubei, China
Correspondence:
[*]
Corresponding author. Wang Huafeng, Wuhan New Opto Electronic Information Technology Co., Ltd, Wuhan, Hubei, 430074, China. E-mail: chnwy@126.com.
Abstract: Macroeconomics is a very complex and huge system. With the improvement of China’s market economy, it is of great theoretical significance and practical value to apply quantitative economics methods and models to study the macroeconomic state and forecast the economic development trend. The development of regional economy is restricted by natural conditions and social and humanistic conditions, and it is a complex system with many factors and levels. By using grey system theory, data processing can reduce its randomness and strengthen the inherent trend of data, so it is possible to use as few data as possible to establish a model describing economic system. Through empirical test, the author analyses the main factors of unbalanced regional economic development and puts forward the comparative advantages of regional development. According to the simulation results, the predicted results are stable and reliable. The conclusion of the study has a certain reference value for the formulation of macroeconomic policies. By strengthening the guidance of government classification, the regional economic disparity will be narrowed continuously.
Keywords: Grey relevance, complex set, economic indicators, empirical test
