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Title: RESEARCH ON THE INFLUENCE FACTORS OF EMPLOYMENT BASED ON GREY CORRELATION ANALYSIS- A CASE STUDY OF JIANGSU PROVINCE IN CHINA
Authors: Hui Shi
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Hui Shi College of Economics and Management, Nanjing University of Aeronautics & Astronautics, Jiangsu, China
MLA 8 Shi, Hui. "RESEARCH ON THE INFLUENCE FACTORS OF EMPLOYMENT BASED ON GREY CORRELATION ANALYSIS- A CASE STUDY OF JIANGSU PROVINCE IN CHINA." Int. j. of Social Science and Economic Research, vol. 4, no. 1, Jan. 2019, pp. 481-493, ijsser.org/more2019.php?id=38. Accessed Jan. 2019. APA Shi, H. (2019, January). RESEARCH ON THE INFLUENCE FACTORS OF EMPLOYMENT BASED ON GREY CORRELATION ANALYSIS- A CASE STUDY OF JIANGSU PROVINCE IN CHINA. Int. j. of Social Science and Economic Research, 4(1), 481-493. Retrieved from ijsser.org/more2019.php?id=38 Chicago Shi, Hui. "RESEARCH ON THE INFLUENCE FACTORS OF EMPLOYMENT BASED ON GREY CORRELATION ANALYSIS- A CASE STUDY OF JIANGSU PROVINCE IN CHINA." Int. j. of Social Science and Economic Research 4, no. 1 (January 2019), 481-493. Accessed January, 2019. ijsser.org/more2019.php?id=38.
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Abstract: China has the highest population in the world, since the financial crisis, the domestic employment has been facing a grim situation. As a province which is strong in economy and owns large population, Jiangsu has the stock of talent which takes a leading position in the country, and the overall employment situation is relatively stable. However, Jiangsu Province's total employment shows a slight downward trend in the past few years, the situation is not optimistic. In this paper, based on the employment function derived from the Cobb-Douglas production function and the previous literatures, the following indicators are chosen as the influence factors of employment: wage, consumption level, domestic investment, FDI, the degree of population aging, industrial structure, urbanization level and infrastructure investment. Then this paper uses grey correlation model to make an empirical analysis on the data of Jiangsu Province in 1998-2017, the result shows that these factors have significant impact on employment. Among these factors, the economic structure has the biggest impact on employment, the second is the degree of population aging, and the last one is domestic investment. Then we use the grey prediction model to forecast the employment level for the next few years. In the end, we put forward the corresponding suggestions to improve the employment situation in Jiangsu Province based on the empirical result.

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