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Academic Journal of Computing & Information Science, 2023, 6(1); doi: 10.25236/AJCIS.2023.060105.

Analysis and Forecast of Cross-border E-commerce Scale in Guangdong Province Based on Grey Model


Min Liang, Minjing Peng

Corresponding Author:
Min Liang

School of Economics & Management, Wuyi University, Jiangmen, China


With the advent of the era of big data, data analysis and cloud computing have become important tools for analysis and prediction. With the rapid development of the Internet, Guangdong Province, as a big province opening to the outside world, the analysis and prediction of cross-border e-commerce based on the grey model is an important way and basis to improve the business in Guangdong Province. Firstly, the important factor is calculated from affecting scale factors cross-border e-commerce by the grey correlation degree. Further, based on the factor, a grey prediction model is established to predict the cross-border e-commerce development in Guangdong Province. The results show that the local financial allocation for science and technology is an important factor affecting cross-border e-commerce development in Guangdong Province. Moreover, the grey prediction model with a relative error of 8.2% proves that the impact will continue to grow in the future.


cross-border e-commerce, grey correlation degree, grey prediction, data analysis

Cite This Paper

Min Liang, Minjing Peng. Analysis and Forecast of Cross-border E-commerce Scale in Guangdong Province Based on Grey Model. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 1: 26-31. https://doi.org/10.25236/AJCIS.2023.060105.


[1] Wang Jianfeng, and Jin Congying, “Literature review of cross-border e-commerce development.” Business Economics, 11(2021): 100-104. (In Chinese)

[2] Wang Dongfeng, “Analysis on Influencing Factors of e-commerce transaction volume based on grey correlation degree.” Journal of Zhengzhou Institute of aeronautical industry management, 32 (2014): 53-56.(In Chinese)

[3] Zheng Chunfang, Zhang Yanqiu, “Research on influencing factors and potential of China's cross-border e-commerce export.”  Journal of Graduate School of Chinese Academy of Social Sciences, 04(2021): 63-72.(In Chinese)

[4] Qi Yaman, “Analysis on the correlation between China's cross-border e-commerce and socio-economic development.” Industrial innovation research,  04(2018): 35-37.(In Chinese)

[5] Zhang Luping, “E-commerce index prediction based on grey system prediction model,” Modern marketing (next ten days), 03(2022): 125-127. (In Chinese)

[6] Jin Mingyue, and Cao Hongping, "Forecasting the scale of China UK e-commerce transactions based on GM model." Logistics technology, 44.02 (2021): 66-68. (In Chinese)