Study on Key Influence Factors Identification Based on Multiple Linear Regression Methodology

Abstract:

With the rapid development of economy in Jilin province, people’s life standard improves steadily. There are lots of factors which influence the growth of economy. We proposed a multiple variable linear regression methodology in this paper to identify the corresponding influence factors which concerning to the growth of GDP in Jilin province. By using multiple linear regression method, the key influence factors which are concern to the growth of GDP in Jilin province are identified, which include primary industry, secondary industry, tertiary industry and buildings price. We can draw conclusions that the growth rate of GDP is positive linear correlation to tertiary industry and buildings price. At the same time, tertiary industry is a more important influence factor than buildings’ price.

• Periodical: Applied Mechanics and Materials (Volumes 63-64)
• Pages: 678-681
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.63-64.678
• Online since: June 2011
• Authors: Jia Mu Niu
• Keywords: Identification, Influence Factor, Linear Regression

References

[1] Zhao Ying: The establishment and analysis of the time series model of China's GDP. Journal of Xi'an Institute Finance and Economics, 19(3), (2006), p: 11-14.

[2] Qu Xiaoe: An emprirical analysis of capital, labor, technological progress and Shaanxi economic growth. Estate and Science Tribune, (1), (2007), p: 45-48.

[3] Deng pan，Li Zengxin: Empirical analysis on the economic growth factors including the system factor. Sci-Tech Information Development Economy, 16(19), (2006), p: 115-116.

[4] Gao xiaomei: Recognition on factors affecting Shandong's economic growth. Shandong Social Sciences, (8), (2006), p: 132-135.

[5] Li limin, Wang xiubo: Analysis on the influence factors of GDP growth in Jilin province. Journal of Hebei Agricultural Sciences, 14(9), (2010), p: 111-113.