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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Article Navigation > 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.

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

[1]	杨灿, 叶林祥, 詹鹏. 我国最低工资标准制定中的“跟风行为”: 基于2004—2017年省级面板数据的实证研究[J] . 经济社会体制比较,2020(5):79 − 89.
[2]	JONATHAN M, JEREMY W. Effects of the minimum wage on employment dynamics[J] . The Journal of Human Resources,2016,51(2):500 − 522. doi: 10.3368/jhr.51.2.0414-6298R1
[3]	王蓓. 最低工资标准的科学测算与制度完善[J] . 山东大学学报(哲学社会科学版),2017(4):54 − 64.
[4]	权衡, 李凌. 上海提高最低工资标准的收入分配效应: 实证与模拟[J] . 上海经济研究,2011(4):96 − 109.
[5]	FANG T, LIN C. Minimum wages and employment in China[J] . IZA Journal of Labor Policy,2015,4(1):1 − 30. doi: 10.1186/s40173-014-0027-0
[6]	张学鹏, 宋蕾. 我国最低工资标准及其变动的决定因素实证分析[J] . 当代经济科学,2018,40(5):117 − 123, 128.
[7]	杨莲秀. 最低工资标准影响因素实证分析: 以上海为例[J] . 上海大学学报(社会科学版),2014,31(5):91 − 102.
[8]	杨莲秀. 上海市最低工资标准的影响因子研究[J] . 复旦学报(自然科学版),2014,53(2):284 − 296.
[9]	汪泓. 用神经网络模型对上海最低工资标准的分析和研究[J] . 东华大学学报(自然科学版),2001,27(6):79 − 86.
[10]	韩兆洲, 魏章进. 基于灰色系统模型的最低工资研究[J] . 数学的实践与认识,2005,35(9):99 − 104.
[11]	范君晖, 吴忠, 李旭芳. 基于粗糙集和神经网络的上海最低工资标准研究[J] . 计算机工程与设计,2007,28(12):2918 − 2921.
[12]	关娇. 上海市最低工资标准现状研究[J] . 经济研究导刊,2018(17):100 − 101.
[13]	刘思峰, 杨英杰. 灰色系统研究进展(2004—2014)[J] . 南京航空航天大学学报,2015,47(1):1 − 18.
[14]	孟伟, 刘思峰, 曾波, 等. 分数阶灰色累加生成算子与累减生成算子及互逆性[J] . 应用泛函分析学报,2016,18(3):274 − 283.
[15]	张朝飞, 罗建军, 徐兵华, 等. 基于灰色理论的新陈代谢自适应多参数预测方法[J] . 上海交通大学学报,2017,51(8):970 − 976.
[16]	易梅, 高雅萍, 郭瑞雪, 等. 动态残差修正的新陈代谢灰色模型在沉降预测中的应用[J] . 工程勘察,2018,46(4):44 − 48.
[17]	黄任宏, 李程程. 灰色系统理论在工程实践中应用研究[J] . 科学技术创新,2019(13):4 − 6.

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