我国最低工资增长机制时空非平稳性测度研究

发布时间：2018-04-15 13:35

本文选题：最低工资 + 时空非平稳性　；参考：《统计研究》2017年06期

【摘要】：最低工资标准制度是保障低收入劳动者根本权益的主要措施之一,进一步完善最低工资增长机制有利于缓解劳资纠纷与矛盾。由于我国区域发展不均衡,最低工资增长机制具有显著的时空非平稳性。本文基于2006—2014年省级时空数据,分别利用时间加权回归模型(TWR)、地理加权回归模型(GWR)及时空地理加权回归模型(GTWR)探测我国最低工资增长机制的非平稳性。实证研究表明:GTWR在模型拟合优度和优良性上表现最优;GTWR估计结果显示大部分解释变量的正负效应与预期一致,时间波动性较强,具有明显的空间非平稳性,被解释变量残差不存在明显的分布偏态性。本文认为逐步建立与职工平均工薪、人均GDP挂钩的固定周期性最低工资增长机制,加快建立具有地方特色的最低工资标准统计测算模型,是完善最低工资增长机制的关键。
[Abstract]:The system of minimum wage standard is one of the main measures to protect the basic rights and interests of low-income workers. Further perfecting the mechanism of minimum wage growth is helpful to alleviate the disputes and contradictions between labor and capital.Due to the imbalance of regional development, the minimum wage growth mechanism has significant spatio-temporal non-stationary.Based on the provincial temporal and spatial data from 2006 to 2014, this paper explores the nonstationarity of the minimum wage growth mechanism in China by using time weighted regression model (TWR), geographical weighted regression model (GWR) and spatio-temporal geographical weighted regression model (GTWR).The empirical study shows that the optimal GTWR estimation results show that the positive and negative effects of most of the explanatory variables are consistent with expectations, the time volatility is strong, and the spatial nonstationarity is obvious.There is no obvious skewness of distribution in the residual error of the explained variable.This paper holds that the key to perfect the minimum wage growth mechanism is to establish a fixed periodic minimum wage growth mechanism linked to the average wage per worker and per capita GDP and to speed up the establishment of a statistical model of minimum wage standard with local characteristics.
【作者单位】：暨南大学经济学院统计学系;广东产业转型升级协同创新中心;
【基金】：国家社会科学基金重点项目“SNA2008:中国R&D支出纳入GDP核算研究”(15ATJ001) 中国劳动保障科学研究院科研合作项目“完善最低工资增长机制研究”(LKY-2016jx-14)的资助
【分类号】：F224;F249.24

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