关键词: 最低工资, 时空非平稳性, 时空地理加权回归模型, 实证研究

Abstract: The minimum wages standard policy is one of the main measures to protect the fundamental rights of low-income laborers. Consummating the growth mechanism of minimum wages is beneficial to easing the labor dispute and contradiction. The spatial-temporal nonstationarity of the growth mechanism of minimum wages is evident because of the regional differences. Based on the panel data of provincial regions in China from 2006 to 2014, Temporally Weighted Regression (TWR), Geographically Weighted Regression (GWR) and geographically and Temporally Weighted Regression (GTWR) were used to measure spatial-temporal nonstationarity of the growth mechanism of minimum wages. The empirical results showed that GTWR performs better than other models on goodness-of-fit and model goodness, and the signs of most explanatory variables of GTWR are consistent with the expected, and the strong time volatility and spatial nonstationarity are showed, the skewness of the distribution of predictors’ residuals is not evident. In my opinion, we ought to establish gradually a fixed periodic growth mechanism of minimum wages which is linked to the average wages and GDP per capita and the statistic and estimate model of minimum wages which is concerned with the local conditions.

Key words: Minimum Wages, Spatial-temporal Nonstationarity, Geographically and Temporally Weighted Regression (GTWR), Empirical Study