Author(s)

Jintao Fu, Huilai Li

Corresponding Author

Huilai Li

ABSTRACT

Since the reform and opening up, China’s economy has developed rapidly. However, due to economic, social, natural, historical and other reasons, development has been uneven across regions, and regional economic variability also exists. Therefore, an objective and comprehensive evaluation of regional economic vitality, and exploring the causes of such differences, are of great significance for achieving regional coordination in sustainable development. The so-called economic vitality refers to the growth rate and potential of the total supply and demand in the economy of a city or province in a certain period of time. It involves all aspects of GDP, the living environment of the enterprise, and the living standard of the people. Attraction to capital, labor, entrepreneurship, technological innovation, etc., and efficiency in using these factors. This article takes Henan Province as the research object, similar to China’s average economic development, establishes a reasonable analysis model, and analyzes the influencing factors of economic vitality changes from the perspective of population trends and corporate vitality trends.

KEYWORDS

Improved neural network algorithm, Factor Cluster Analysis, Grey prediction model, MATLAB