Academic Journal of Business & Management, 2021, 3(9); doi: 10.25236/AJBM.2021.030906.
Ruisi Zhang1, Hongtao Ji2
1School of Economics, Qufu Normal University, Rizhao Shandong, 276827, China
2School of Business Economics, Shanghai Business School, Shanghai, 201400, China
2021 is the first year of the "14th Five-Year Plan", and the formulation of economic policies in line with the realistic background is of great significance to the completion of the "14th Five-Year Plan" and the 2035 long-term plan. As the nation's economic and financial center city, Shanghai has always been a benchmark for leading the Chinese economy. Therefore, this paper selects Shanghai’s GDP data from 2010 to 2019 as a sample to establish a Shanghai GDP prediction model based on the gray model GM (1, 1), and predicts Shanghai’s GDP total and growth data from 2020 to 2026. The empirical results show that the total GDP of Shanghai will continue to grow in the future, but the GDP growth rate will gradually slow down. Finally, this article puts forward corresponding countermeasures and suggestions based on the status quo of Shanghai's economic development.
Shanghai, GDP, Grey prediction model
Ruisi Zhang, Hongtao Ji. GDP Forecast of Shanghai Based on Grey Model. Academic Journal of Business & Management (2021) Vol. 3, Issue 9: 24-29. https://doi.org/10.25236/AJBM.2021.030906.
[1] Dan-Dan Bai. Study on the prediction of economic structure and economic growth in Gansu Province Based on Grey GM (1,1) model [J]. Modern marketing (next periodical appearing once every ten days), 2020 (12): 21-23
[2] De-Huai Gui, Xian-Xuan Zhang. Prediction and analysis of container throughput of Shanghai Port Based on grey prediction model [J]. Journal of Chuzhou vocational and technical college, 2020,19 (03): 33-36 + 40
[3] Han-Zhi Li. Grey prediction analysis of economic development in Hebei Province [J]. Western leather, 2016,38 (18): 103
[4] Jing An. Measurement of regional financial development level and analysis of influencing factors based on grey model [J]. Financial theory and teaching, 2020 (03): 24-31
[5] Man-Yi Lu. Analysis of economic development quality in Western China based on grey correlation theory [J]. Business news, 2021 (05): 17-18
[6] Xue-Yan Xu, Rui-Ting Zhu. Prediction of marine economic development in Shanghai based on grey prediction model [J]. Marine development and management, 2019,36 (10): 44-46
[7] Ye Yan. Research on agricultural modernization and economic development in Jiangsu Province Based on grey correlation analysis [J]. China forestry economy, 2021 (04): 64-66 + 97
[8] Yun-Tao Zhu, Jun-Peng Mao, Geng-Po Ren, Qi-Fen Li. Prediction and analysis of industrial energy consumption in Shanghai based on grey model [J]. Shanghai energy conservation, 2016 (09): 498-502