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Academic Journal of Business & Management, 2021, 3(9); doi: 10.25236/AJBM.2021.030909.

The Grey Correlation Analysis of the Three Major Industries and Shanghai's GDP

Author(s)

Hongtao Ji1, Ruisi Zhang2

Corresponding Author:
Hongtao Ji
Affiliation(s)

1School of Business Economics, Shanghai Business School, Shanghai, 201400, China

2School of Economics, Qufu Normal University, Rizhao, Shandong, 276827, China

Abstract

The 14th Five-Year Plan period is the first five years that my country has fully embarked on a new journey of building a modern socialist country. It is also a crucial period for Shanghai to deepen the functions of the "five centers". As the central city of China's economy, finance, and trade, Shanghai's GDP growth rate is basically the same as that of the whole country. This paper selects Shanghai’s total GDP data from 2010 to 2019 and the GDP data of the primary, secondary, and tertiary industries as samples to establish a grey correlation analysis model to analyze the relationship between Shanghai’s three major industries and Shanghai’s economic growth. Grey correlation degree. The empirical results show that the tertiary industry has the greatest impact on the economic development of Shanghai, followed by the secondary industry and the primary industry. Finally, this article proposes corresponding countermeasures and suggestions for Shanghai's future economic development in terms of strengthening scientific and technological innovation and improving the quality and efficiency of opening to the outside world.

Keywords

Three major industries, Shanghai, GDP, grey relational analysis

Cite This Paper

Hongtao Ji, Ruisi Zhang. The Grey Correlation Analysis of the Three Major Industries and Shanghai's GDP. Academic Journal of Business & Management (2021) Vol. 3, Issue 9: 40-45. https://doi.org/10.25236/AJBM.2021.030909.

References

[1] Wei Ming. Gray correlation analysis of service industry development and upgrading——Taking Shanghai service industry as an example [J]. Productivity Research, 2012(09): 176-178.

[2] Liu Zhongguang. The Grey Correlation Analysis of Urban Residents' Disposable Income and Consumption Structure: Taking Henan Province as an Example [J]. Northern Economy and Trade, 2021(08): 55-57.

[3] Sun Peilei, Guo Zehua. Analysis of spatial differences and influencing factors of high-quality economic development [J/OL]. Statistics and Decision, 2021(16):123-125[2021-09-08].https://doi.org /10.13546/j.cnki.tjyjc.2021.16.027.

[4] Wang Wei. Research on the Grey Correlation of Shanghai's Financial Industry and Related Industries [J]. China Foreign Investment, 2012(08): 1-2+6.

[5] Yan Yujun, Yan Yunlou. The development trend of population aging in Shanghai and its influencing factors——Based on GM (1,1) and principal component analysis [J]. Chinese Journal of Gerontology, 2021, 41(14): 3093-3098.

[6] Zhao Jingfeng, Peng Yahua. Empirical analysis of the current high-quality development momentum of China's economy [J]. Journal of North China University of Water Conservancy and Hydropower (Social Science Edition), 2021, 37(03): 44-53.

[7] Liu Yinan, Liu Qin. Analysis of the interaction between Shanghai's information industry structure and economic growth [J]. Technology and Innovation Management, 2019, 40(06): 766-772.

[8] Wang Jian. The Grey Correlation Analysis of Science and Technology Investment and Shanghai’s Economic Growth [J]. Science and Technology Management Research, 2008(03): 91-93.