Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai

ZHANG Li

Volume 35 Issue 1

Mar. 2021

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ZHANG Li. Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 88-93, 96.

Citation:

ZHANG Li. Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 88-93, 96.

ZHANG Li. Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 88-93, 96.

Citation:

ZHANG Li. Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 88-93, 96.

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Application of Gray Metabolism GM (1,1) Model on Prediction of Minimum Wage Standard in Shanghai

ZHANG Li

School of Marxism, Shanghai University of Finance and Economics, Shanghai 200433, China

Received Date: 2020-10-31
Publish Date: 2021-03-30

Abstract

Abstract

The establishment of the minimum wage system is an important social institution for building harmonious labor relations in China. It is of great significance to carry out minimum wage prediction. Taking Shanghai as an example, the conventional GM(1,1) model and gray metabolism GM(1,1) model were established to predict the minimum wage standard of Shanghai in the short term based on the gray system theory and method. The prediction result is in line with the Shanghai government’s goal of smoothly adjusting the minimum wage standard. Through the fitting and forecasting of the minimum wage standard in Shanghai, it can provide a scientific and reasonable basis for the government and enterprises to make relevant decisions, which has great theoretical and practical significance.
- minimum wage standard,
- gray system,
- gray metabolism GM(1,1) model,
- simulation and prediction

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References(17)

References

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