Welcome to Francis Academic Press

Academic Journal of Business & Management, 2022, 4(3); doi: 10.25236/AJBM.2022.040312.

Research on the influencing factors of GDP in Guangdong Province based on grey relational analysis


Jingwen Liang1, Yuqi Yin2

Corresponding Author:
Jingwen Liang

1School of Economics and Finance, Zhanjiang University of Science and Technology, Zhanjiang, Guangdong, 524084, China

2School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China


As the most economically developed region in China, Guangdong Province has important guiding significance for the study of the influencing factors of Guangdong Province's economic development. This paper uses the grey correlation method to study the GDP data of Guangdong Province from 2010 to 2020, and conducts an empirical analysis on the relationship between it and the index system composed of indicators such as environment, investment and education. The research shows that the total social fixed asset investment in the indicator system has the highest correlation with the GDP of Guangdong Province, but the correlations corresponding to different indicators are different. According to its conclusion, this paper puts forward corresponding policy suggestions to provide theoretical support and thinking perspective for the economic development of Guangdong Province.


Grey relation, Guangdong Province, GDP

Cite This Paper

Jingwen Liang, Yuqi Yin. Research on the influencing factors of GDP in Guangdong Province based on grey relational analysis. Academic Journal of Business & Management (2022) Vol. 4, Issue 3: 65-71. https://doi.org/10.25236/AJBM.2022.040312.


[1] Chen Youyu. The application of the improved grey model in the prediction of rural per capita net income in my country [J]. Journal of Hubei Institute of Economics (Humanities and Social Sciences Edition), 2012, 9(03): 49-50.

[2] Ju Zhanjie, Long Teng. Research on the influencing factors of fishery economic development in Guangdong Province ①——Based on grey relational analysis [J]. China Fishery Economy, 2019, 37(05): 47-54.

[3] Liang Liping. The Grey Correlation Analysis of Rural Finance and Rural Economic Growth [J]. Financial Development Research, 2013, (09): 78-81.

[4] Liao Huiling. Research on the Influence of Population Age Structure on Economic Growth in Guangdong Province [D]. Wuhan University, 2018.

[5] Qi Shuyu, Ji Xiaohun. Grey Correlation Analysis of Educational Development and Economic Growth [J]. China Management Information, 2013, 16(10): 103-106.

[6] Wang Shuyao. An Empirical Analysis of the Impact of Population Age Structure Changes on Economic Growth [J]. Modern Communication, 2019, (13): 50-51.

[7] Wang Wei. An empirical study on the differences in regional economic development and its influencing factors in Guangdong under the new economic normal [D]. Jinan University, 2019.

[8] Yi Ying, Luo Minmin. An empirical study on the relationship between fiscal revenue and economic growth in Guangdong Province based on ADL model [J]. Statistics and Management, 2020, 35(08): 16-20.

[9] Zhou Xiaodan. Grey correlation analysis between industrial structure and economic growth [J]. Modern Marketing (Latest Issue), 2017, (02): 13.