School of Software, Nanchang University, Nanchang, 330047, China
We first use linear regression model to study the relationship between regional economic vitality and related factors. However, the model fails the variance inflation factor (VIF) test, so we established a grey relational analysis (GRA) model. Next, we selected Zhengzhou as the research object then established a time series and autoregressive integrated moving average (ARIMA) model to predict the GDP of Zhengzhou after the "Twelfth Five-Year Plan" economic transformation and the long-term impact of economic policy transformation on Zhengzhou. Finally, we use the entropy method to determine the weight of indicators we collect and rank some cities. Based on those weight, previous analysis and models, we put forward development suggestions for Zhengzhou to enhance regional economic vitality.
VIF test, GRA, Time Series, ARIMA, Entropy Method
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