Author(s)

Yang Dizhi, Chen Luhong, Zhu Hongpeng

Corresponding Author

Yang Dizhi

ABSTRACT

With economic development and social progress, regional economic vitality has gradually become an important part of our national economy. How to better evaluate the vitality of the regional economy has become a question that is being explored by sociologists and mathematicians. And this article establishes four major evaluation indicators of per capita GDP, permanent population, corporate vitality, and annual savings balance of urban and rural residents, and establishes a corresponding model through the gray correlation method. We collected relevant data of 19 cities and calculated the corresponding relevance and ranking of Shanghai as the city with the best economic vitality through MATLAB. Finally, we calculated the corresponding relevance and ranking of the cities with the best economic vitality in Chengdu, Suzhou, Ningbo, and Kunming, and found that for this method, the selection of the default city (the best or the worst) directly affects the results Good or bad.

KEYWORDS

regional economic vitality, grey correlation method, evaluation index, MATLAB