Original Research Article
June 13, 2020
Research on Forecasting the Number of Tourists in Anyang Based on Grey System GM (1, 1)
Yongwei Yang, Chaofang Ming, Qi Liu
Sch J Phys Math Stat | 76-81
DOI : 10.36347/sjpms.2020.v07i06.001
The scientific prediction of the number of tourists is of great significance for the rational planning of various relevant tourism departments and the formulation of various work. Based on the introduction of the current situation of the number of tourists in Anyang, the GM(1,1) model is established to predict the number of tourists. After testing, the prediction accuracy of the GM(1,1) model is higher, and the prediction results are closer to the real value, which can provide a reference for the actual prediction work. Finally, the grey GM(1,1) model is used to predict the number of tourists in Anyang from 2020 to 2023, and relevant countermeasures and suggestions for promoting the development of regional tourism are given.
Analysis of the Status Quo of Changsha's Regional Financial Center
Jiacen Chen, Hua Deng
Sch J Phys Math Stat | 82-87
DOI : 10.36347/sjpms.2020.v07i06.002
This paper constructs an index system of financial agglomeration, further evaluating and analyzing the agglomeration level of the financial industry in Changsha. On this basis, the following conclusions are drawn: First, the location entropy index of Changsha's financial industry location index is 0.19 in 2016, which is lower than that of 2015. Since 2016, the financial industry in Changsha has been showing a trend of sustained low-speed growth. The growth rate of the financial industry has dropped significantly. Secondly, the grey correlation degree of each industry is calculated through the grey relational analysis model. As a high-level tertiary industry, the financial industry has a lower grey correlation degree with the tertiary industry's gross regional product than that of the lower level transportation and postal industry, as well as wholesale and retail trade. This paper applies location entropy index model and grey relational analysis model to integrate the advantages of similarity coefficient and location entropy, thereby putting forward suggestions for the construction of Changsha regional financial center.