劳动复杂程度与经济增长

Labor Complexity and Economic Growth

本文在剖析劳动复杂程度的具体内涵及其经济增长效应的基础上,构建了一个包含劳动复杂程度的经济增长模型,利用1990—2017年43个国家的面板数据构造了劳动复杂系数指标,发现在样本期内劳动复杂程度均值在发达国家与非发达国家之间存在明显的绝对差距,但是两者间的相对差距在2000年以后则有明显的缩小,中国和印度的劳动复杂系数的均值则依次位居倒数第二位和倒数第一位。通过构建PVAR模型实证研究发现:在发达国家中,劳动复杂程度的提高未能对其经济增长产生显著的正向影响;在非发达国家中,显著存在着劳动复杂程度增长率与经济增长之间的双向交互作用。

Based on the analysis of the specific connotation of labor complexity and its economic growth effect,this paper constructs an economic growth model that includes labor complexity and uses panel data covered 43 countries from 1990 to 2017 to construct labor complexity index(LCI).During the sample period,there is a significant and absolute gap in LCI’s average values between developed and non-developed countries,but the relative gap between the two has been significantly narrowing after 2000,the LCI’s average value of China and India are ranked second and first to bottom.Empirical results of the PVAR model show that:In developed countries,the increase of labor complexity do not have a significant positive impact on their economic growth,while in non-developed countries,there is a significant two-way interaction between labor complexity growth rate and economic growth.